A new way to measure uncertainty provides an important step toward confidence in AI model training
It's obvious when a dog has been poorly trained. It doesn't respond properly to commands. It pushes boundaries and behaves unpredictably. The same is true with a poorly trained artificial intelligence (AI) model. Only with AI, it's not always easy to identify what went wrong with the training.
phys.org : computer-sciences
AI model of language in the brain captures both how neurons are arranged and how they function
Neurons—the nerve cells responsible for transmitting electrical and chemical signals throughout the body—are organized in tissue, tending to cluster together in groups according to how they function. For example, language studies have found that there are clusters of neurons that seem to specialize in verbs and others that focus specifically on nouns, however researchers aren't sure just how these functional groups form.
phys.org : computer-sciences
New system quantifies language model personalities through linguistic analysis
Large language models (LLMs) are at the forefront of artificial intelligence (AI) and have been widely used for conversational interactions. However, assessing the personality of a given LLM remains a significant challenge.
phys.org : computer-sciences
Ferroelectric RAM performs calculations within memory
In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.
phys.org : computer-sciences
Algorithm can make AI responses increasingly reliable with less computational overhead
ChatGPT and alike often amaze us with the accuracy of their answers, but unfortunately, they also repeatedly give us cause for doubt. The main issue with powerful AI response engines (artificial intelligence) is that they provide us with perfect answers and obvious nonsense with the same ease. One of the major challenges lies in how the large language models (LLMs) underlying AI deal with uncertainty.
phys.org : computer-sciences
A newly developed fast and flexible CPU notification requires no polling
Getting interrupted while at work can cause you to lose your ability to work quickly and effectively. A computer's central processing unit (CPU) core is no different. If the CPU core has to stop what it is working on each time a new task is assigned, the whole system can get bogged down and slow significantly.
phys.org : computer-sciences
Touch meets tech: AI brings tactile textures to 3D-printed objects
Essential for many industries ranging from Hollywood computer-generated imagery to product design, 3D modeling tools often use text or image prompts to dictate different aspects of visual appearance, like color and form. As much as this makes sense as a first point of contact, these systems are still limited in their realism due to their neglect of something central to the human experience: touch.
phys.org : computer-sciences
Quantum computing prepwork made faster with graph-based data grouping algorithm
Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that scientists need to figure out the best ways to feed them information to take full advantage. The data must be packed in new ways, customized for quantum treatment.
phys.org : computer-sciences
Researchers develop AI tech that can monitor pitchers using low-resolution video captured by smartphones
University of Waterloo researchers have developed new artificial intelligence (AI) technology that can accurately analyze pitcher performance and mechanics using low-resolution video of baseball games.
phys.org : computer-sciences
세계가 인정한 공기청정 기술, IEEE가 주목하다
세계가 인정한 공기청정 기술, IEEE가 주목하다 - 도시환경연구실 김학준 책임연구원, IEEE 시니어 멤버 승격! - 한국기계연구원(원장 류석현, 이하 기계연) 친환경에너지연구본부 도시환경연구실 김학준 책임연구원이 세계 최대 기술 전문가 단체인 IEEE(Institute of Electrical and Electronics Engineers)의
한국기계연구원 > KIMM NEWS
Microsoft introduces an AI model that runs on regular CPUs
A group of computer scientists at Microsoft Research, working with a colleague from the University of Chinese Academy of Sciences, has introduced Microsoft's new AI model that runs on a regular CPU instead of a GPU. The researchers have posted a paper on the arXiv preprint server outlining how the new model was built, its characteristics and how well it has done thus far during testing.
phys.org : computer-sciences
Novel technique overcomes spurious correlations problem in AI
AI models often rely on "spurious correlations," making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem. The work has been published on the arXiv preprint server.
phys.org : computer-sciences
Making AI-generated code more accurate in any language
Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers' lives easier if that code follows the rules of the programming language and doesn't cause a computer to crash.
phys.org : computer-sciences
Scientists discover pioneering technique to accelerate accurate quantum measurements
Researchers have developed a new way to speed up quantum measurements, a vital building block for the next generation of quantum technologies.
phys.org : computer-sciences
(Almost) like us: Characterizing creativity in artificial intelligence
Creativity is no longer exclusive to humans. Some forms of artificial intelligence are capable of producing poetry, entrepreneurial concepts, even visual art. Many people use large language models (LLMs) such as ChatGPT, which are trained on vast amounts of text, for co-creation: The artificial intelligence offers ideas and suggestions, while the human provides guidance, context, and direction.
phys.org : computer-sciences
기계연–구미전자정보기술원, 국가첨단전략기술 협력 업무협약 체결
기계연–구미전자정보기술원, 국가첨단전략기술 협력 업무협약 체결 첨단기술 공동개발부터 AI 응용기술 협력까지… 산업현장 중심의 협력 모델 본격 추진 기계연은 4월 15일(화), 구미전자정보기술원과 국가첨단전략기술 분야 협력을 위한 업무협약식을 체결하였다. 한국기계연구원(원장 류석현, 이하 기계연)은 4월 15일(화),
한국기계연구원 > KIMM NEWS
Training LLMs to self-detoxify their language
As we mature from childhood, our vocabulary—as well as the ways we use it—grows, and our experiences become richer, allowing us to think, reason, and interact with others with specificity and intention. Accordingly, our word choices evolve to align with our personal values, ethics, cultural norms, and views.
phys.org : computer-sciences
Over-training large language models may make them harder to fine-tune
A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton University, all in the U.S., has found that if large language models are over-trained, it might make them harder to fine-tune. In their paper posted on the arXiv preprint server, the group compared the impact of different amounts of training on a single LLM.
phys.org : computer-sciences
New model can generate audio and music tracks from diverse data inputs
In recent years, computer scientists have created various highly performing machine learning tools to generate texts, images, videos, songs and other content. Most of these computational models are designed to create content based on text-based instructions provided by users.
phys.org : computer-sciences
Dynamic model can generate realistic human motions and edit existing ones
When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying them to human and humanoid characters, could be highly valuable for the development of video games and the creation of animations, content that can be viewed using virtual reality (VR) headsets and training videos for professionals.
phys.org : computer-sciences