University of Copenhagen researchers have proven that fully stable Machine Learning algorithms are unattainable for complex problems, highlighting the critical need for thorough testing and…
Posts published in “Computer Science”
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New research addresses the risks and liabilities associated with implementing AI in the food industry, proposing a temporary adoption phase to assess AI’s benefits and…
Athanassios S. Fokas argues that AI, despite its advancements, is still far from matching human thought, as it lacks the ability to fully replicate the…
New research examines the potential misuse of AI in accessing our subconscious, as revealed by the Cambridge Analytica scandal. It critiques the EU’s proposed AI…
An innovation in using natural language models brings artificial intelligence to field-deployable sensors, including drones. Los Alamos National Laboratory is exploring the AI technology for…
Professor Wenhao Sun shows off dolomite from his personal rock collection. Sun studies crystal growth of minerals from a materials science perspective. By understanding how…
Researchers have advanced brain-inspired computing using chiral magnets, significantly reducing energy use in machine-learning tasks. The research marks progress towards more sustainable and adaptable computing…
A new paper discusses the complex role of AI in society, underscoring its potential to both benefit and harm. He explores AI’s contribution to national…
Innovative research utilizing machine learning to analyze atomic pieces of geometry has marked a major advancement in mathematics, potentially revolutionizing the field by speeding up…
MIT’s StableRep system uses synthetic images from text-to-image models for machine learning, surpassing traditional real-image methods. It offers a deeper understanding of concepts and cost-effective…
Scientists at the Max Planck Institute have devised a more energy-efficient method for AI training, utilizing physical processes in neuromorphic computing. This approach, diverging from…
A new paper argues that AI’s intelligence, as seen in systems like ChatGPT, is fundamentally different from human intelligence due to its lack of embodiment…
MIT and NVIDIA researchers have created two techniques to enhance sparse tensor processing, improving performance and energy efficiency in AI machine-learning models. These techniques optimize…
A study by MIT Lincoln Laboratory suggests that formal specifications, despite their mathematical precision, are not necessarily interpretable to humans. Participants struggled to validate AI…
SecureLoop, created by MIT, is a search engine for identifying efficient and secure designs for deep neural network accelerators. It integrates encryption and authentication into…
Researchers have developed a technique called Meta-learning for Compositionality (MLC) that enhances the ability of artificial intelligence systems to make “compositional generalizations.” This ability, which…
MIT alum Dan Sturtevant co-founded Silverthread, a company that diagnoses and fixes structural software issues. Inspired by research from Professor Alan MacCormack, Silverthread’s tools aim…
A recent study indicates that AI chatbots may excel over the average human in creative thinking tasks, such as suggesting alternative uses for everyday objects.…
A recent study from Ohio State University revealed that people feel less satisfied in their relationships when they learn that a friend used AI or…