The Artificial intelligence (AI) will change our lives in ways we never thought possible. It seems like there are new breakthroughs and developments in AI technology almost every day. From data analysis to natural language processing, systems have evolved a lot. Recently, however, the AI ​​has a whole new level reached. Which it is, where the technology could still lead in the next few years and how AI in different industries is already being used, find out here.

Artificial intelligence



Science fiction was yesterday. In terms of artificial intelligence, the version offers CatGPT-4 of Open AI a development level that has a revolutionary meaning and takes artificial intelligence to a new level. ChatGPT-4 passed the American bar exam "Uniform Bar Exam" (UBE) with flying colours. This standardized test is used by many US jurisdictions for admission to the bar. ChatGPT-4 passed all seven subjects examined and achieved the best results in contract law with 88,1% correctly answered questions. ChatGPT-3 is only 10% in comparison. The new version surpasses 90% of all trainee lawyers who have passed the exam. 

Below we present the latest developments, explain what the new AI is all about, which applications in industry are already shaping the future, and present research results and corporate strategies.

AI news ticker

Megawatt control cabinet cooling for AI
Rittal is presenting an innovative cooling solution with over 1 MW cooling capacity. In doing so, the company is paving the way for AI applications.
Laboratory robot with AI based object recognition
In the 6-axis cobot Gofa ABB Robotics, object recognition is carried out by an AI-based 3D vision system. The cobot is used for sample handling in the laboratory.
Elon Musk is suing ChatGPT for profit-making
Elon Musk files a lawsuit against OpenAI and CEO Sam Altman, accusing them of breach of contract because the company, which was originally designed as a nonprofit, is now operating for profit.
Three introductions to generative AI
Generative AI with the Meta Business Twin from Schopf Meta Consult is more than a chatbot - How your company can gain AI practice quickly and easily.
Volkswagen integrates ChatGPT into current models
World premiere at the CES 2024 electronics trade fair in Las Vegas: Volkswagen is integrating ChatGPT into current models
Over $500 million for Aleph Alpha's artificial intelligence development
A broad consortium of industry and investors is investing more than $0,5 billion in cutting-edge AI research from Aleph Alpha.

With AI into the future

Some paraphrase it as, "...the horses are out of the stable"*1, others feel “as if they have seen God”*1. If I had to come up with a metaphor, I would say: The dam broke. AI has entered a new dimension. The ChatGPT-4 update from Open AI paved the way.

Edge computing connects the operational level with IT

The possibilities of the new ChatGPT technology are practical limitless: Imagine having an artificially intelligent assistant that helps your customers complete their tasks 4/XNUMX. With ChatGPT-XNUMX, you can now create conversational bots with near-human accuracy tailored to your users' needs or interests. Additionally, AI takes context into account when answering questions and ensures answers are relevant and correct. We take you on the AI ​​development journey and keep you up to date with the following topics:

Elon Musk is suing ChatGPT for profit-making

March 01.03.2024, XNUMX | Elon Musk files lawsuit against OpenAI and its managing directors Sam altman and accuses them of breach of contract. Originally conceived as a non-profit company, the aim was to develop artificial intelligence (AI) technologies for the benefit of humanity.

However, Elon Musk, one of the company's founders, now claims that it has been oriented towards profit, which goes against the original agreements violates. In 2018, Musk left the company.

ChatGPT became one of the fastest growing software in the world by the end of 2022. This also attracted investors like Microsoft an, today one of ChatGPT's largest investors. The lawsuit states that Microsoft in particular now benefits from the profit orientation.

In 2023 the New York Times legal action has been taken against OpenAI. She accuses OpenAI of copyright infringement by using millions of data from newspaper articles to develop its ChatGPT model.

According to a report from Bloomberg Jason Kwon, strategy manager at OpenAI, in an internal email to employees contradicted Elon Musk's claim that Microsoft has control over OpenAI. Kwon emphasized that according to OpenAI's internal policies, Microsoft is not allowed to have access to the company's general artificial intelligence technologies.

First comprehensive legal framework for AI in the world

09.12.2023/XNUMX/XNUMX | After long negotiations, the European legislators, the European Parliament and the Council of the EU agreed last night on the Law on Artificial Intelligence politically united.

Risk-based approach

The new rules will be applied in all Member States based on a future-proof definition of AI. They follow these risk-based approaches:

  • Minimal risk applies to the vast majority of AI systems. These include AI-supported recommendation systems and spam filters. You will benefit from a free pass and lack of commitments because they are minimal to no risk.
  • High risk record AI systems for e.g. B. critical infrastructure such as water, gas or electricity. They must meet strict requirements such as risk mitigation, data recording and high security standards, with regulatory sandboxes designed to encourage responsible innovation and compliance.
  • Unacceptable risk represent AI systems that pose a threat to fundamental rights. These include systems that manipulate human behavior, promote dangerous behavior or use biometric systems in certain contexts. The use of artificial intelligence is prohibited here.
  • Transparency risk arises when using AI systems such as chatbots. Here it should be clear to the user that they are interacting with a machine. Deep fakes and other AI-generated content should be clearly labeled, as should biometric categorization or emotion recognition systems. Providers must ensure that synthetic content is identifiable as artificially created or manipulated in machine-readable formats.

Penalties, General Purposes, AI Office

Companies that do not comply with the regulations must comply fines calculate. The AI ​​Act also introduces specific regulations for general-purpose AI models. These will ensure transparency along the value chain.

While the relevant national market surveillance authorities monitor the implementation of the new regulations at national level, the establishment of a new European one AI offices ensure coordination at European level within the European Commission. Together with national market regulators, the Artificial Intelligence Office will be the first body in the world to enforce mandatory artificial intelligence regulations.

AI agreement to protect against misuse

27.11.2023 | 18 countries, including Germany and the USA, have an important international agreement on Security of artificial intelligence  decided. This agreement, recorded in a 20-page document. It aims to implement stricter controls on AI providers. The agreement emphasizes the need for companies developing and applying AI technologies to do so in a way that protects customers and the public from potential misuse. This agreement underlines the global commitment to make AI developments responsible and safe.

Jen easterly Director of the US Cybersecurity Agency told Reuters: "This is the first time we see confirmation that it shouldn't just be about cool features and how quickly we can bring them to market."

Although the agreement contains mostly general recommendations and not binding is, it represents significant progress. The recommendations emphasize the need to monitor AI systems for misuse, protect data from manipulation and check software providers. This initiative reflects the growing global push to responsibly influence the development of AI, with Europe pursuing stricter regulations than the United States.

France, Germany and Italy recently agreed on how artificial intelligence should be regulated with binding self-regulation through codes of conduct for so-called AI basic models.

Interview with a chatbot

The editor-in-chief of Computer-Bild Dirk General Kuchel conducted an interview with the AI, which answered the questions of many. Look for yourself:


Bill Gates and the Age of AI

It will probably be different for Microsoft founder Bill Gates, who also something groundbreaking is coming our way sees what certainly does not exceed his imagination. In a post on his blog*2 he writes that, in his opinion, the invention of AI is tantamount to the invention of microprocessors, computers, the Internet and mobile phones. It will change how people work, learn or receive health care and how they communicate with each other. The industry will also have to reorient itself. During a visit to Open AI, he gave the team the task of training an artificial intelligence to pass a biology exam. She shouldn't be trained for it. After a few months, the AI ​​had given such a high score on the exam that it surpassed the performance of students in most cases.

Which text generators write AI texts?

Today there are many different software solutions that can create AI texts. Most of these tools are based on Machine Learning and Natural Language Processing to generate powerful natural language texts. Some of the most popular AI text generators are OpenAI GPT-3 (now ChatGPT-4 in beta), IBM Watson Natural Language Generation and Google Cloud Natural Language. These tools provide a simplified way to create text in natural languages ​​and translate complex information into simple formats.

What is ChatGPT-4?

ChatGPT-4 is the latest software update of Open AI, a conversational AI model capable of human-like conversations. This revolutionary new AI chatbot is able to handle conversations with an unprecedented level of accuracy and understanding. Open AI has outdone itself with this update. ChatGPT-4 responds to questions and conversations with an unprecedented precision and accuracy comparable to that of humans. This level of sophistication has never been reached before and will revolutionize how AI is used in the future.

What improvements does ChatGPT-4 offer versus ChatGPT-3?

ChatGPT-4 offers numerous improvements and innovations compared to the previous version. One of the most important improvements is the ability to understand conversations at a deeper level of meaning. ChatGPT-4 can not only interpret the text of a question or statement, but also takes into account the context and the user intentions.

Complex, layered answers: Another significant advancement of ChatGPT-4 is its ability to answer complex and multi-layered questions. ChatGPT-3 was already able to answer simple questions with high accuracy. However, the model often failed for more complex questions that required more extensive research. ChatGPT-4, on the other hand, also understands more demanding questions and finds answers independently. An example of this could be a question about the cause of climate change or about the effects of Plastic waste on the environment.

Multitasking Ability: Another major advance is support for intelligent multitasking. ChatGPT-4 allows users to have multiple conversations or ask multiple questions at the same time. The software easily differentiates between the different topics and contexts and reacts accordingly. This is particularly useful for companies or public institutions that need to communicate with a large number of customers or users.

Improved speech processing: In addition, ChatGPT-4 also offers improved human-like speech processing. The model is now able to speak more naturally and fluently, mimicking human sentence patterns and idioms, and can even understand and reproduce humor. This will make communication with the model much more pleasant and effective.

Step by step into the digital transformation

All these improvements make ChatGPT-4 one groundbreakingen AI model that will revolutionize the way we interact with AI. But where there is light, there is always shadow. And suddenly some tech giants, who previously pushed development, are going too fast with artificial intelligence.

Open letter: stop artificial intelligence now

Tesla founder Elon Musk and Apple co-founder Steve Wozniak demanded in an open letter last week, along with well over 1000 other technology experts, to stop AI development. At first I thought that this information itself was subject to an AI fake. Musk & Co. suddenly discover that AI also harbors great risks. Not news to me, but apparently these tech giants are now afraid that ensuring the necessary security and truthfulness is currently not keeping pace with the development of AI itself. In their appeal, they fear that poorly programmed AI systems can make automatic decisions without being adequately monitored or regulated. They also stressed that government agencies need to be more aware of the dangers of AI applications.

*1 Kevin Roose and Casey Newton, both tech journalists on the tech podcast Hard Fork, New York Times on the latest ChatGPT release.

Industrial applications with artificial intelligence

Megawatt control cabinet cooling for artificial intelligence

Rittal AI control cabinet coolingJune 06.06.2024, XNUMX | The rapidly increasing demand for computing power requires new dimensions in scaling, cooling, power distribution and energy efficiency. Rittal presents an innovative cooling solution with over 1 MW cooling capacity. In doing so, the company is paving the way for AI applications.

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Laboratory robot with AI based object recognition

27.05.2024/6/XNUMX | With the XNUMX-axis cobot Gofa ABB Robotics takes over object recognition AI based 3D vision system. The cobot is used for automated sample handling in the laboratory. At the exhibit “Cobot AI sample sorting” at the Achema The cobot fills a centrifuge with a batch of unsorted samples and then structures them into a rack.

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Three introductions to generative AI

23.01.2024/XNUMX/XNUMX | At the forefront of this transformation is generative AI. In this article from the start-up Schopf Meta Consult Founder Peter Schopf describes the emergence and significance of generative AI and presents three entry-level scenarios. Along with his Meta Business Twin (MBT) he presents the practical application.

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VW brings ChatGPT into automobiles

09.01.2024 | With a world premiere VW entered the race for the most fascinating technical new developments from automobile manufacturers at the CES 2024 electronics trade fair in Las Vegas: Volkswagen will be integrating from now on Chat GPT in current models. This means that AI is moving into automobiles. You can find this and future VW news in this article.

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Artificially intelligent screwing assistant

21.09.2023 | Trimiti is an AI-controlled screwing assistant for manual assembly processes Nexustec on Motek will introduce. The worker receives a clear and systematic screwing sequence for each cell via an intuitive interface.

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How the AI ​​arrives in production

June 02.06.2023, XNUMX | Dr. Lucian Dold, General Manager Tactis and Operations Global Account Management Omron, provided information on the status of artificial intelligence in industry in a specialist lecture at the specialist press days in Karlsruhe. He presented practical examples and gave advice on the productive use of AI technology.


AI against skills shortage

How intelligent are today Robot and technologies in the production-related areas of industrial manufacturing? Many solutions appear to be advanced, but they often have limitations because they deterministically deliver what they were designed for. As soon as something unexpected or unusual happens, they quickly reach their systemic limits. Unplanned downtimes and so-called micro-stoppages are the biggest efficiency killers.

Well-trained employees are required to rectify such errors and repair a machine. But the Skills shortage is present and therefore such experts are more in demand than ever. In order to counter this development, machines must become increasingly intelligent and autonomous, including with AI. AI is considered a key technology. So far, however, too few industrial companies have used their potential. However, more and more tools and advances are making AI accessible and user-friendly.

Production AI rather in the niche

Technology giants such as Google and Amazon have been using AI extensively for some time now, thereby securing significant competitive advantages. So far the situation in industry looks different. The control of AI-based systems requires know-how and the expertise of professionals who know exactly what they are doing. Therefore, the use of AI has so far only taken place in niche applications in which the entry costs can be justified by the benefits.

Developers are increasingly focusing on systems that can independently figure out why they stopped or why a problem occurred. For example, sensors can show machine operators that a Packaging machine Blanks for cardboard boxes are missing. But you can't find out if the paper density is out of tolerance. That’s why sensors alone are not enough. Achieving true systemic autonomy requires additional AI. Using intelligent algorithms, machines can perform sophisticated analyzes comparable to the function of the autonomic nervous system.

Start with small projects

But why, despite the advantages, are there so far only a few AI applications in industrial practice? On the one hand because of the general application of AI and on the other hand many people don't even know how to use it complex amounts of data should be dealt with that a general approach creates. Companies should therefore ask themselves what problem they want to solve or what improvements they want to achieve in order to successfully implement AI in their operations.

In order to achieve benefits, relevant data should be collected and stored in a synchronized manner without losing information. The one that follows Intelligent Data Analysis generates the added value. Companies are now asking Omron specifically how AI can help with quality control, predictive maintenance or process optimization. AI is now an enabler that enables improvements and simplifications.

AI can make machines and employees smarter. The experienced employee trains the machine and the machine trains the inexperienced employee. Omron investigates AI controlled machines, which require operators to assemble products and comprehensively document work steps as well as methods and work techniques. AI control can be used to control which actions an employee should carry out on the machine in order to avoid errors. If the employee controls the machine incorrectly, an alarm is triggered and a recommendation is displayed.

scale AI

An effective scaling is essential for the long-term success of companies. With a technical solution and service portfolio designed to scale, digitally advanced companies can make the most of AI, such as identifying and training best practices, monitoring operating conditions, or predicting failures. The key to success is to start small and familiarize yourself with AI step by step - for more competitiveness and efficiency.

AI-assisted visual inspection

02.06.2023/XNUMX/XNUMX | A new component of augmented reality (AR) Vuforia by PTC now supports and simplifies visual inspection in production. The module called Step Check guides employees step by step through the inspection with context-sensitive work instructions.

The step check the instructions are printed on the physical product to be inspected, while the artificial intelligence detects improper assembly, missing or misaligned parts and similar errors. With color-coded graphics displayed in real-time on the part or product in question, workers can quickly see if this inspection step has passed. Step Check automatically documents the test results and creates dashboards to analyze the tests carried out.

The AI ​​model is trained in two ways: through 3D CAD models of the parts or products to be tested as well as examples of passed or failed tests. The AI ​​models learn from the decisions made by employees and continually improve the results. Thanks to Vuforia's computer vision capabilities, Step Check is able to detect things like stickers or labels that are not included in the 3D CAD models.

As part of the SaaS AR solution Vuforia Expert Capture Step Check With AI focuses on one of the most important phases of the manufacturing process: visual inspection in quality control. During this process, employees assess whether a part, component or product has been manufactured or assembled correctly and is in working order. Traditionally, these checks are performed with the naked eye and paper-based documentation. This puts pressure on employees to make decisions quickly and increases the risk of errors and rework.

Artificial intelligence for smart intralogistics

May 15.05.2023, XNUMX | Science fiction was yesterday. Today, intralogistics offers concrete possible applications for artificial intelligence. Mathias Thomas, Managing Director of TUP, and Arvin Arora, Managing Director of AIM, at Logimat about the integration and potential of AI systems in the warehouse. The two experts highlighted the practical AI application in which processes for item placement, route and packing optimization as well as resource and personnel planning can be made more efficient.

“Intralogistics combines all the prerequisites for the profitable use of artificial intelligence. Machine learning can quickly and independently analyze the incredibly large amounts of data generated in warehouse operations, filtering out information that remains hidden from even the most experienced warehouse manager. With this in-depth look at the processes, the AI ​​can make forecasts for future developments. The pattern recognition acts like a detector for previously hidden optimization potential,” characterizes it Matthew Thomas, TUP Managing Director the central motives behind the use of AI.

Arvin Arora, Managing Director of AIM, adds with regard to the collaboratively developed AI, which is to be established in intralogistics under the label TUP.AI: "TUP's know-how for highly efficient warehouse operations and our ability to implement complex AI solutions via a plug-and -Play approach, quickly make our customers' warehouse processes smarter and therefore much more attractive from the point of view of economic indicators. In the future, data-driven insights and forecasts will become typical for the warehouse management system TUP.WMS.”

They put three in particular intralogistics use cases before: Personnel and resource planning, warehouse control and packing optimization. AI methods can help with many organizational and operational tasks - from the forward-looking deployment of specialists at peak times to route optimization in the warehouse to the best possible allocation of packing locations on load carriers. "Thanks to the use of artificial intelligence, more added value is created in warehousing," emphasized Mathias Thomas.

CNC laser parts online with real-time AI

May 02.05.2023, XNUMX | With the sales brand Laserteile4you effect HP Kaysser A trend started in 2010 that is now being followed by many imitators. Now artificial intelligence should be integrated. In the interview, Mr. Achim Kopf gives an outlook on questions.

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AI supported software Mailab for data analysis

07.02.2023/XNUMX/XNUMX | the Edge Computing Software Melsoft Mailab from Mitsubishi Electric supports companies in the digital transformation of their production and promotes their productivity increase. The data science tool is intuitive and operator-centric. The intelligent platform uses artificial intelligence.

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Laboratory automation with artificial intelligence

02.03.2022 | The world's first female scientist is revolutionizing biotechnology today. her name is Agamed and has declared war on Covid-19. The one of the same name Robot was at the ICHB PAN together with Mitsubishi Electric 

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First AI image recognition for CAE software

24.10.2021/XNUMX/XNUMX | The new CAE software Odyssey A-Eye by Hexagon gives users without expert knowledge access to powerful digital twins with AI applications. Odyssey is based on machine learning and performs parametric design and optimization in real time.

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Servo motors and servo amplifiers serviced with AI

22.03.2021/XNUMX/XNUMX | That Servomotor and servo amplifier portfolio from Mitsubishi Electric is very versatile. The automation specialist is now going one step further and equipping its servomotors with artificial intelligence. This opens up further optimization potential.

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AI platform simplifies AI integration

25.11.2020 | contron supports companies with its compact AI platform for machine learning and deep learning. It integrates all Google Tensorflow Lite applications and enables you to quickly develop your own artificial intelligence applications. The Google Coral Edge TPU (Tensor Processing Acceleration Unit) ensures higher speeds in image data and video data processing with up to 4TOPS (trillion operations per second). This results in a fivefold speed of 6 frames/s compared to an application with simple USB cameras without TPU with approx. 30 frames/s.

AI in intelligent edge wins in the Industrial automation increasingly important. The compact AI platform consists of an M.2 module with the Google Coral accelerator chip for the Tensorflow Lite software ecosystem on a 2,5 “Kontron pITX single board computer with an NXP i.MX8M processor. The TPU supports small and low power applications and requires only 1 W for 2 TOPS, i.e. 2 W for 4 TOPS.

In Industry 4.0 applications, topics such as: object detection and classification as well as quality inspection and predictive maintenance are used, which are based on AI algorithms. AI is also playing an increasingly important role in point-of-sales applications so that advertising and relevant information can be placed in a more targeted manner. The AI ​​platform can be flexibly adapted to the respective applications. It is suitable for use in harsh environments with extended temperature ranges from -40° to +85°C. Yocto also supports Linux with the latest kernel. From the first quarter of 2021, the platform will also be available on other systems from the provider.

Frequency converters with AI for the smart factory

17.11.2020 | Mitsubishi Electric presents the next generation of the FR-E frequency converter Series. By using AI, the FR-E800 reduces downtime based on its advanced predictive maintenance capabilities. The FR-E800 is equipped with the world's first corrosive gas warning system. 

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Supercomputer for autonomous vehicles with AI

July 28.07.2020, XNUMX | The development time for self-driving cars should be shortened to hours instead of weeks. To achieve this, build Continental and Nvidia a high-performance computer cluster based on the DGX AI system. AI is, among other things, a future core task of supercomputers.

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Predictive maintenance for robots with in-house AI

March 02.03.2020, XNUMX | The AI ​​technology of Mitsubishi Electric heißt type of maize. The artificial intelligence implemented on the Melfa Smartplus add-on card offers an extension of the CR800 controller for the Melfa robot the FR series to provide computing power and other functions.

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Artificial intelligence and data mining

03.12.2018/XNUMX/XNUMX | Lt. Mitsubishi Electric describes artificial intelligence in the Robotic the ability to respond appropriately to unforeseen and unprogrammable situations. There are situations in which the robot without AI is not able to irregularities to identify.

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Results and information from AI research 

Strategic partnership in cutting-edge AI research

28.08.2023 | Aleph Alpha and the Innovation Park Artificial Intelligence (Ipai) have entered into a strategic partnership in AI research. As a leading specialist in explainable AI, Aleph Alpha is taking on an important role in the German nucleus for the development of artificial intelligence applications, while Ipai is set to create Europe's most relevant platform for applied artificial intelligence.

Leading expertise, resources and innovations from the local artificial intelligence landscape will come together and lay the foundation for Germany's competitiveness in the field of artificial intelligence. For the Dieter Schwarz Foundation As a co-initiator, it is particularly important to secure Germany's digital sovereignty with this AI ecosystem in one of the key technologies of the future.

The partnership is a clear commitment to responsible AI: Aleph Alpha is the only language model to date that relies on transparency and traceability. As a platform, Ipai focuses on the development and application of ethically responsible AI. It thus forms the foundation for AI research and development in the field of artificial intelligence, which focuses on social benefits.

Recurrent neutron networks enable AI in early warning systems

31.03.2021/XNUMX/XNUMX | In the TUM researchers have a new one early warning system for autonomous vehicles developed that uses AI based on recurrent neural networks to learn from thousands of real traffic situations. The system can warn more than 85% of a potential critical situation exactly 7 s in advance. 

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AR breathes new life into a 100-year-old sewing machine

Sep 14.09.2020, XNUMX | With the augmented reality application Augmented Things, the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern an over 100 year old Pfaff Sewing Machine breathed new life. 

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6G mobile communications should integrate artificial intelligence

06.10.2020/XNUMX/XNUMX | That KIT has the 6G network in its sights. A new artificial intelligence strategy enables the highest data transfer rates to date Terahertz communication at low costs. The mobile network of the future will consist of many extremely small radio cells. 

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AI based robot calibration

17.06.2020/XNUMX/XNUMX | target of Kirk is to develop new software-driven calibration methods from Industrial robotsn to develop and increase their accuracy through machine learning. The initiators of the joint project are the University of Stuttgart, the DHBW Karlsruhe and Artimind's Robotics.

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Brain like computing should significantly reduce energy consumption

25.02.2020/XNUMX/XNUMX | It's an exciting new area of ​​AI Research, which is becoming increasingly important as part of the AI ​​development megatrend: the so-called Neuromorphic computing, also Brain like Computing uses technologies that mimic the human brain and nervous system. 

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Enterprise and the AI

Half a billion for Aleph Alpha AI

November 06.11.2023, XNUMX | In a remarkable Series B financing round Aleph Alpha, Germany's pioneer in the development of generative AI technologies, has received considerable support:

With an impressive investment volume of over $500 million, supported by a broad range of new and long-standing investors, this commitment highlights Aleph Alpha's extraordinary potential and leadership in this sector. The well-known investors include the Innovation Park Artificial Intelligence (Ipai), Bosch Ventures and companies from the renowned Schwarz Group with Lidl and Kaufland.

This significant financial injection is a clear vote of confidence in the competence and innovative strength of Aleph Alpha, which has established itself as a leading provider of sovereign, generative AI applications in Europe. With a focus on B2B and B2G-Solutions that are both explainable and trustworthy, the company sets new standards in the development of completely sovereign applications.

The investments flow into the groundbreaking AI research to foundation models and the further development of products that are specifically designed for business-critical environments. At the same time, Aleph Alpha is strengthening its marketing activities by collaborating with selected key partners. This strategic approach promises to accelerate product development and scaling, further cementing Aleph Alpha's position as an industry leader and supporting its customers with cutting-edge AI solutions.

Factories for the AI ​​industrial revolution

21.10.2023 | Nvidia AI, Drive AV, Isaac Robotics and Omniverse Platforms lay the foundation for Foxconn AI and Robotics Systems. This is intended to accelerate the digitalization of industries worldwide.

Nvidia is now working with it Hon Hai Technology Group (Foxconn) together to accelerate the AI ​​industrial revolution. To this end, Foxconn will integrate Nvidia technology to develop a new class of data centers to support artificial intelligence applications. The digitalization of manufacturing and inspection processes, the development of AI-supported platforms for e-mobility and Robotic as well as a growing number of voice-based generative AI services.

The collaboration starts with the creation of AI factories. These are based on an Nvidia GPU computing infrastructure specifically designed for processing and refining and converting massive amounts of data into valuable AI systems and tokens.

Foxconn also develops its intelligent solution platforms based on Nvidia technologies:

  • Foxconn Smart EV will be based on Nvidia Drive Hyperion 9, a next-generation platform for autonomous automobilebrisk. It is powered by Nvidia Drive Thor, its future automotive systems-on-a-chip.
  • Foxconn Smart Manufacturing's robotic systems are built on the Nvidia Isaac autonomous mobile robot platform.
  • Foxconn Smart City will integrate the intelligent video analytics platform Nvidia Metropolis.

Building AI data factories

Foxconn is expected to build a large number of systems based on Nvidia technology for its global customer base who want to build and operate their own optimized AI factories using Nvidia AI Enterprise software.

With these systems, Foxconn customers can generate generative AI services provide and use simulation to accelerate the training of autonomous machines, including industrial robots and self-driving cars.

Potential own AI factory

In addition to equipping its customers with artificial intelligence factories using Nvidia technology, Foxconn is aiming to have its own factory based on the Omniverse platform and the Isaac and Metropolis-Frameworks will be used to meet the strict production and quality standards of the electronics industry.

Advances in Edge AI and Simulation enable use autonomous mobile robot, who can cover several kilometers per day, as well as from Industrial robotsn for assembling components, applying coatings, packaging and performing quality inspections.

An AI factory with these Nvidia platforms can give Foxconn the ability to conduct AI training and inference, improve factory operations, and run simulations in the virtual world before deploying them to the physical world. The simulation of the entire Robotic- and automation pipeline from End to end is possible with it.

AI-powered electric vehicles

Foxconn will supply Nvidia Drive solutions to global automakers. The contract manufacturer will be highly automated and autonomous, AI-rich electric vehicles with the upcoming Hyperion 9 platform. This will usher in a new era of functionally safe, software-defined cars.

Schaeffler invests in AI-based software development

Sep 27.09.2023, XNUMX | Cooperating on the way to the digital factory Schaeffler with the software start-up for several years Up2parts GmbH. Now the company has announced a stake in the German start-up. 

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IBM sees AI as the opportunity of a lifetime

18.08.2023 | CNBC Today, two IBM officials are commenting on the state of artificial intelligence in the form of a large banner at the top of the website. They are referring to the new CEO study by the IBM Institute for Business Value. Rob Thomas, Senior Vice President Software and Chief Commercial Officer at IBM, sees the current "Netscape moment" as "the opportunity of a lifetime". Kareem Yusuf, Ph.D., Senior Vice President, Product Management & Growth at IBM Software, believes that a "shift towards AI-first companies" will take place in every industry.

The new IBM study

The CEO study from the IBM Institute for Business Value has highlighted that the global skills gap is real and growing. Executives surveyed estimate that 40% of their workforce will need to retrain in the next three years due to the implementation of AI and automation.

According to World Bank statistics, it could 1,4 billion of the 3,4 billion people be in the global workforce. Respondents also report that building new skills for existing employees is a top talent issue. 77 percent of executives surveyed say that entry-level positions are already feeling the impact of generative AI and that these impacts will increase in the next few years. Only 22% of respondents say the same for leadership positions.

Artificial intelligence can help open up more opportunities for employees by improving their skills. 87% of managers surveyed believe that employees are more likely to follow through generative artificial intelligence expanded rather than replaced. However, this varies depending on the function: 97% of managers are of the opinion that employees in purchasing are more likely to be strengthened than replaced, in the risk and compliance area this is 93%, in the finance area 93%, in customer service 77% and in marketing 73% %.

Artificial intelligence and its Netscape moment

Rob Thomas compares artificial intelligence to Netscape because he thinks it will do for companies what Netscape once did for the Internet. The use of AI has doubled since 2017. Foundation models are becoming more accessible, allowing companies to quickly revolutionize the way they work using AI.

Der laut IBM study 41% of IT experts are researching generative artificial intelligence, while 27% are already actively using it. This is also advisable, as AI interfaces will soon be present in all applications. This will fundamentally change the way companies work.

Companies would benefit from +AI AI first change. While in the past they have focused on running the core business and thinking about how automation and analytics could improve an existing process, now there is an opportunity to fundamentally rethink the way work gets done. This will make the difference between leading or lagging in our industry.

Artificial intelligence will fundamentally change every part of the way we work to an unprecedented extent. In some cases, the cost of expertise would now be zero. 

Just on the cusp of a once in a lifetime opportunity, the exciting results we are seeing from AI today would only be the beginning. When leaders start basic models into their businesses, it's time to start thinking about applications, speed to value and how to ensure results can be trusted.

Whatson Orchestra does routine work

IBM Watson data platform The company offers a versatile AI platform that provides companies with innovative solutions for a wide range of applications. For example, if you For example, if you want to get rid of annoying routine tasks, Watson Orchestrate is just right for you. Artificial intelligence takes over your unpleasant items on endless to-do lists, so you can concentrate on the work you love.

AI on Dassault Systèmes' 3DExperience World

08.03.2023 | Bernard Charles, CEO of Dassault Systèmes, emphasized on the 3dexperience World 2023, how important innovation is. He also discussed innovative developments and trends. He illustrated how 3DExperience solutions with AI can build CAD models even more efficiently.

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Schaeffler invests in artificial intelligence

22.10.2021/XNUMX/XNUMX | Together with eleven other partners Schaeffler the material moisture meter shows you the AI Park e. V. co-founded in Berlin. The association is intended to promote specific artificial intelligence AI applications and develop appropriate ethical and regulatory frameworks for Germany and Europe.

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Bosch semiconductor factory combined with AI

07.06.2021/XNUMX/XNUMX | the Bosch Group has one of the most modern in Dresden Chip factories ceremoniously opened to the world. The largest single investment in Bosch's more than 130-year history is fully networked and much more. Highly automated machines and integrated processes are combined with AI methods. 

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Pepperl + Fuchs and Symate are developing an AI platform together

Sep 10.09.2020, XNUMX | The specialist for optimizing manufacturing processes using artificial intelligence (AI) methods, Symate is testing the connection of its know-how with that of the global specialist in a pilot project Factory and process automation, Pepperl + Fuchs

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Smart city through emotional artificial intelligence in trend

February 21.02.2020, XNUMX | The application of artificial intelligence AI in cities and urban environments, or Smart City for short, is a hotly debated topic. The most explosive aspect of this debate at the moment is emotional artificial intelligence, i.e. AI with EQ. Minebea Mitsumi deals with the topic.

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Mitsubishi Electric brings together AI under the Maisart brand

Sep 26.09.2017, XNUMX | With its new brand “Maisart”. Mitsubishi Electric in the future, the entire range of its artificial intelligence (AI) technologies. Maisart is the abbreviation for Mitsubishi-Electric's AI creates the State-of-the-Art in technology.

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What is artificial intelligence?

Definition of artificial intelligence: The term artificial intelligence, eng. Artificial Intelligence (AI) is a collective term for technologies that enable machines to perform and solve tasks like humans do. These artificial intelligence technologies come from various areas of computer science and science, including machine learning, computer-aided logical problem solving and pattern recognition. AI systems are suitable for many areas of application such as automotive control; automated customer service, for diagnosing medical images, natural language processing or in robotics.

How does artificial intelligence work?

Artificial intelligence is a field of computer science that focuses on developing algorithms and systems that enable machines to become human-like cognitive abilities such as learning, problem solving and decision making. Artificial intelligence works by processing large amounts of data and recognizing patterns or connections in this data. By using techniques such as machine learning and neural networks, an artificial intelligence can learn from these patterns and improve its performance over time. This enables AI systems to handle complex tasks and develop human-like capabilities in various application areas such as speech recognition, image recognition and autonomous driving.

What is generative AI?

Generative AI is a form of artificial intelligence that is able to independently generate new content. It is based on neural networks, which are trained on large amounts of data. These networks learn to recognize patterns and connections in the data and can then independently create new content that resembles these patterns. An example of this is a text generator that is able to write articles or stories. Generative AI has the potential to impact many areas of life and work, from art to medicine and business.

What will AI never be able to do?

Artificial intelligence is a fascinating concept that was considered pure science fiction for a long time, but is now becoming more and more part of our everyday lives. Despite the impressive advances in artificial intelligence (AI), there are some aspects that are artificial intelligence probably never reach becomes. Above all, this includes human consciousness and the ability to feel real emotions and empathy. AI systems ultimately rely on algorithms and data, while human experiences and emotions are rooted at a deeper level. Additionally, artificial intelligence may not be able to perform creative thinking and problem solving to the same extent that humans do because it relies on predefined patterns and rules. Finally, it is unlikely that artificial intelligence will ever have the same moral and ethical judgment as humans, as such decisions are often based on subjective experiences, cultural values ​​and personal beliefs that AI systems lack.

Where can you find artificial intelligence in everyday life?

Artificial intelligence (AI) has become more and more popular in recent years Moving into our everyday lives held and is present in a variety of applications and technologies. Voice assistants such as Siri, Alexa and Google Assistant use artificial intelligence to understand and respond to voice commands. Personalized recommendation systems on platforms like Netflix, Spotify or Amazon use AI algorithms to analyze our tastes and preferences and make appropriate suggestions. AI-powered image recognition helps identify and sort photos in our smartphones and social media. Self-driving cars and intelligent transport systems also rely on artificial intelligence to offer safer and more efficient transport solutions. In addition, artificial intelligence can be found in many industrial and production processes, where it contributes to the automation and optimization of workflows and production processes.

All of these examples show that artificial intelligence is already an integral part of our daily lives and plays an important role in better tailoring technologies and services to our needs.

What can an Artificial Intelligent Chat offer?

An artificial intelligence (AI) chat, also known as chatbot called, offers a variety of advantages and possible applications in various industries and areas. Chatbots are able to conduct human-like conversations, responding to user requests, providing information, or performing specific tasks.

For example, you can in Customer Support can be used to answer frequently asked questions quickly and efficiently. This can reduce waiting times and relieve the burden on support staff. In the e-commerce sector, chatbots can offer personalized product recommendations or simplify the ordering process. Chatbots are also used in healthcare, for example by acting as virtual health assistants and providing information about symptoms, medications or treatment methods.

AI chats therefore offer an efficient and cost-effective way to improve the interaction between companies and customers or users while conserving resources.

What is weak AI?

Weak AI, also called narrow or specialized artificial intelligence is an AI system designed to efficiently perform a specific task or a limited set of tasks without possessing human-like consciousness or extensive cognitive abilities.

Unlike strong AI, which has the potential to achieve human-like intelligence in many different areas, weak artificial intelligence focuses on specific applications and problem solving.

Examples of weak AI are speech recognition systems, recommendation algorithms or image recognition software. These systems are very powerful in their respective areas of expertise. However, they are unable to operate outside their specific scope or make complex, human-like decisions. Weak AI is currently the predominant type of artificial intelligence used in most real-world applications.

Source: This article is based on information from the following companies and institutions: ABB, Aleph Alpha, Bosch, Dassault Systèmes, Foxconn, Fraunhofer, IBM, Ipai, Minebea Mitsumi, Mitsubishi Electric, Nvidia, KIT, Kontron, Nexustec, Omron, Pepperl+Fuchs, PTC, Rittal, Schaeffler, Schopf Meta Consult, TUM, Volkswagen. 

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Angela Struck

Angela Struck is editor-in-chief of the development scout and freelance journalist as well as managing director of Presse Service Büro GbR in Ried.