Computer Sciences

Scientists design artificial synapses for neuromorphic computing

The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive ...

Engineering

Optimizing production processes through modularization

Improved speed, precision and flexibility—it is important to take advantage of every possible opportunity in optimizing production. To this end, researchers at the Fraunhofer Institute for Material and Beam Technology IWS ...

Machine learning & AI

Booting up artificial personality in AI systems

Artificial intelligence (AI) is being used increasingly in many different walks of life from the large language models and image-generation tools that can produce readable text and intriguing graphics based on a prompt to ...

Machine learning & AI

EU, US ready common code of conduct on artificial intelligence

The European Union and the United States said Wednesday that they would soon release a voluntary code of conduct on artificial intelligence, hoping to develop common standards among democracies as China makes rapid gains.

Business

Taiwan's Foxconn predicts huge growth in AI server business

Taiwanese tech giant and key Apple supplier Foxconn predicts three-digit growth for its artificial intelligence server business due to robust demand for AI products such as ChatGPT, its chairman said Wednesday.

Machine learning & AI

New language model boasts hundreds of billions of parameters

Stellaris AI, a spin-off company from the HKU Department of Computer Science (CS), has introduced Stellaris GPT (SGPT), an innovative, large-scale language model boasting hundreds of billions of parameters. SGPT has been ...

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Artificial intelligence

Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents," where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines."

The field was founded on the claim that a central property of human beings, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine. This raises philosophical issues about the nature of the mind and limits of scientific hubris, issues which have been addressed by myth, fiction and philosophy since antiquity. Artificial intelligence has been the subject of breathtaking optimism, has suffered stunning setbacks and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.

AI research is highly technical and specialized, so much so that some critics decry the "fragmentation" of the field. Subfields of AI are organized around particular problems, the application of particular tools and around longstanding theoretical differences of opinion. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General intelligence (or "strong AI") is still a long-term goal of (some) research, while many researchers no longer believe that this is possible.

This text uses material from Wikipedia, licensed under CC BY-SA