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.
Science fiction was yesterday. In terms of artificial intelligence, the version offers ChatGPT-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.
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.
The possibilities of the new ChatGPT technology are practical limitless: Imagine having an artificially intelligent assistant that helps your customers to 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. In addition, the AI takes the context into account when answering questions and ensures that the answers are relevant and correct.
I don't even know where to start imagining how our world will change if things continue at this rate. Was I "yesterday" still fired up from the Metaverse and its possibilities, what I have heard and read about artificial intelligence in the last few days exceeds my imagination. Questions after questions loom in front of my imagination: What does AI do with IT security, which is already dangerous anyway. Which professions, like weavers, will no longer exist? How should my nine grandchildren and all other children learn in the future? What happens to the artists? I could go on like this forever. But we prefer to shy away from the future and thus to advantages in the use of AI.
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.
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:
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.
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.
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.
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.
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.
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.
Sep 21.09.2023, XNUMX | Trimiti is an AI-driven Screwdriver 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.
02.06.2023 | 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.
How smart are today Robot and technologies in the production-related areas of industrial manufacturing? Many solutions appear to be advanced, but are often limited because they deterministically deliver what they were designed to do. As soon as something unexpected or unusual happens, they quickly reach their systemic limits. Unplanned shutdowns 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.
Technology giants such as Google or Amazon have been using AI extensively for some time and are thus securing themselves considerable amounts competitive advantages. In industry, the situation has been different so far. Controlling AI-based systems requires know-how and the expertise of professionals who know exactly what they are doing. For this reason, AI has so far only been used in niche applications where the initial costs can be justified by the benefits.
Developers are increasingly focusing on systems that can figure out on their own why they stopped or why a problem occurred. sensors can machine operators show, for example, that a packaging machine for cardboard boxes is missing blanks. However, you cannot find out if the paper density is out of tolerance. That's why sensors alone are not enough. Additional AI is required to achieve true systemic autonomy. Using intelligent algorithms, machines can perform sophisticated analyzes that are comparable to the function of the autonomic nervous system.
But why are there only a few AI applications in industrial practice, despite the advantages? Firstly because of the general application of AI and secondly, many do not even know how to deal with the complex amounts of data that a general approach generated. 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.
Effective scaling is essential to the long-term success of any business. With a technical solution and service portfolio that is designed to scale, digitally advanced companies can make optimal use of AI, for example in identifying and training best practices, monitoring operating conditions or predicting errors. The Key to success is to start small and become familiar with AI step by step - for more competitiveness and efficiency.
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 and through examples of passed or failed tests. The AI models learn from the decisions of the employees and continuously improve the results. Thanks to Vuforia's computer vision capabilities, Step Check is able to recognize 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.
15.05.2023/XNUMX/XNUMX | Science fiction was yesterday. Intralogistics today offers concrete applications for artificial intelligence. Under the motto "With TUP.AI to the Smart Warehouse", Mathias Thomas, Managing Director of TUP, and Arvin Arora, Managing Director of AIM, gave a lecture at the Logimat about the integration and potential of AI systems in the warehouse. The two experts shed light on the practical AI application, in which processes for article 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.
02.05.2023/4/2010 | With the LaserteileXNUMXyou sales brand, HP Kaysser started a trend in XNUMX that is now being imitated by a number of people. Artificial intelligence is now to be integrated. In the Interview Mr. Achim Hinterkopf gives an outlook.
07.02.2023/XNUMX/XNUMX | the Edge Computing Software Melsoft Mailab 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.
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
24.10.2021/XNUMX/XNUMX | The new CAE software Odyssey A-Eye of Hexagon gives users without expert knowledge access to powerful digital twins with AI applications. Based on machine learning, Odyssey performs parametric design and optimization in real time.
22.03.2021/XNUMX/XNUMX | That Servomotor and servo portfolio of 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.
25.11.2020/XNUMX/XNUMX | Kontron supports companies with its compact AI platform for machine learning and deep learning. It integrates all Google Tensorflow Lite applications and allows rapid development of your own Artificial intelligence applications. The ensures a higher speed in the image data and video data processing Google Coral Edge TPU (Tensor Processing Acceleration Unit) with up to 4TOPS (trillion operations per second). This results in a five-fold speed of 6 frames / s compared to an application with simple USB cameras without TPU with approx. 30 frames / s.
AI in the 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 are increasingly using topics such as object recognition and classification as well as quality inspection and predictive maintenance, 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.
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.
28.07.2020/XNUMX/XNUMX | The development time should be reduced to hours instead of weeks self-driving cars shorten. To do that, build Continental and Nvidia a high-performance computer cluster based on the DGX AI system. Among other things, AI is a future core task of the Supercomputers.
02.03.2020 | The AI technology of the automation is called 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.
03.12.2018/XNUMX/XNUMX | Lt. Mitsubishi Electric describes artificial intelligence in the Robotic the ability to respond appropriately to unforeseen and non-programmable situations. There are situations where the robot without AI will not be able to identify anomalies.
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.
31.03.2021/XNUMX/XNUMX | In the TUM researchers have a new one early warning system for autonomous vehicles developed that based on AI recurrent neural networks learns from thousands of real traffic situations. The system can provide more than 85% accurate 7s advance warning of a potential critical situation.
14.09.2020 | With the Augmented Reality Application Augmented things has the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern an over 100 year old Pfaff Sewing Machine breathed new life.
06.10.2020/XNUMX/XNUMX | That KIT has the 6G network in sight. A new artificial intelligence strategy enables the highest data transfer rates to date in terahertz communication at low costs. The mobile network of the future will consist of many extremely small radio cells.
17.06.2020/XNUMX/XNUMX | target of Kirk is to develop new software-driven calibration methods from Industrial robotsn through Machine learning to develop and increase their accuracy. The initiators of the joint project are the University of Stuttgart, the DHBW Karlsruhe and Artimind's Robotics.
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 computingAlso Brain like computingg uses technology that mimics the human brain and nervous system.
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 established 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 groundbreaking AI research Foundation models and in 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.
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 Hon Hai Technology Group (Foxconn) to accelerate the AI industrial revolution. To do this, Foxconn will integrate Nvidia technology with which a new class of data centers to be developed 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 is expected to build a large number of systems based on Nvidia technology for its global customer base that wants to build and operate their own optimized AI factories using Nvidia AI Enterprise software.
With these systems, Foxconn customers can generative AI services provide and use simulation to accelerate the training of autonomous machines, including industrial robots and self-driving cars.
In addition to equipping its customers with artificial intelligence factories using Nvidia technology, Foxconn is aiming to have its own factory based on the omniverseplatform and the Isaac and Metropolis frameworks to meet the electronics industry's strict production and quality standards.
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 opportunity to AI training and inference, improve factory operations, and run simulations in the virtual world before deploying them to the physical world. This makes it possible to simulate the entire robotics and automation pipeline from end to end.
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.
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.
18.08.2023/XNUMX/XNUMX | Today, CNBC has two IBM officials comment on the status of artificial intelligence in the form of a large banderole at the top of the website. They refer to the new IBM Institute for Business Value CEO study. Rob Thomas, IBM's senior vice president of software and chief commercial officer, sees the current "Netscape moment" as "the opportunity of a lifetime." Kareem Yusuf, Ph.D., senior vice president, product management & growth at IBM Software, says there will be a "shift towards AI-first companies" in every industry.
The IBM Institute for Business Value CEO study found that the global skills gap is real and growing. The executives surveyed estimate that 40% of their workforce need to retrain over the next three years due to the implementation of AI and automation.
Statistics of the World bank according to this, that could be 1,4 billion of the 3,4 billion people in the global labor force. Respondents also report that building new skills for existing employees is a top talent problem. 77 percent of executives surveyed say entry-level positions are already feeling the impact of generative AI and that this impact will increase over the next few years. Only 22% of respondents say the same for managerial 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 expands rather than replaces. 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% %.
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.
According to the IBM study, 41% of IT professionals 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 from +KI to 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.
With the 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.
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.
22.10.2021/XNUMX/XNUMX | Together with eleven other partners Schaeffler the material moisture meter shows you the KI Park e. V. in Berlin co-founded. The association should be concrete Artificial intelligence Promote AI applications and develop appropriate ethical and regulatory frameworks for Germany and Europe.
07.06.2021/XNUMX/XNUMX | the Bosch Group has in Dresden one of the most modern chip factories in the world solemnly opened. 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.
10.09.2020/XNUMX/XNUMX | The specialist for the optimization of manufacturing processes with the methods of Artificial intelligence (AI), Symate is testing the connection of his know-how with that of the global specialist for factory and process automation in a pilot project, Pepperl + Fuchs.
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 issue in this debate at the moment is: Emotional artificial intelligence, i.e. AI with EQ. Minebea Mitsumi deals with the topic.
26.09.2017/XNUMX/XNUMX | With its new "Maisart" brand, Mitsubishi Electric will in future cover 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.
Definition of the Artificial intelligence: The term Artificial intelligence, narrow. Artificial Intelligence (AI) 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 robotics.
Artificial intelligence is an area of computer science that focuses on the development of algorithms and systems that enable machines to acquire 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, one can Artificial intelligence learn from these patterns and improve their performance over time. This enables AI systems to handle complex tasks and develop human-like skills in various application areas such as speech recognition, image recognition and autonomous driving.
Artificial intelligence is a fascinating concept that has long been considered pure SF was true, 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 artificial intelligence will probably never achieve. First and foremost, this includes human consciousness and the ability to feel genuine emotions and empathy. AI systems are ultimately up Algorithms and Data while human experiences and emotions are rooted on a deeper level. Furthermore, can Artificial intelligence Creative thinking and problem solving may not be able to do as well as 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.
Artificial intelligence (AI) has increasingly found its way into our everyday lives in recent years and is present in a large number of applications and technologies. language assistants like Siri, Alexa and Google Assistant Artificial intelligenceto 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 productionprocesses in which 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 improving technologies and services our needs vote.
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, they can be used in customer support to answer frequently asked questions quickly and efficiently. This can reduce waiting times and relieve support staff. In the area of e-commerce, chatbots can offer personalized product recommendations or simplify the ordering process. Also in Health services chatbots are used, for example by acting as virtual health assistants and providing information about symptoms, medication or treatment methods.
AI chats thus offer an efficient and cost-effective way to improve the interaction between companies and customers or users while at the same time conserving resources.
Weak AI, also referred to as narrow or specialized artificial intelligence, is an AI system designed to perform a specific task or limited set of tasks efficiently, without sacrificing human-like awareness or comprehensive cognitive abilities to own.
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 fields. However, they are unable to operate outside of their specific scope or make complex, human-like decisions. Weak AI is currently the prevailing type of artificial intelligence, which is used in most real-world applications.
Source: This article is based on information from the following companies and institutions: Aleph Alpha, Bosch, Dassault Systèmes, Foxconn, Fraunhofer, IBM, Ipai, Minebea Mitsumi, Mitsubishi Electric, Nvidia, KIT, Kontron, Nexustec, Omron, Pepperl+Fuchs, PTC, Schaeffler, TUM.
Angela Struck is a freelance journalist and managing director of the Presse Service Büro GbR in Ried.Home