A new AI technology has been developed that retains and reuses knowledge, much like writing down a solution in a notebook and applying it to similar problems rather than asking an expert for help each time.A new AI technology has been developed that retains and reuses knowledge, much like writing down a solution in a notebook and applying it to similar problems rather than asking an expert for help each time.[#item_full_content]

Researchers from Tokyo Metropolitan University have used an evolutionary algorithm to identify optimal shapes for ultra-thin, bio-inspired corrugated airfoils, the two-dimensional cut-throughs of wings. Lightweight membrane-like wings are a strong contender for use in unmanned aerial vehicles (UAVs) in thin atmospheres, like on Mars, and in UAV miniaturization.Researchers from Tokyo Metropolitan University have used an evolutionary algorithm to identify optimal shapes for ultra-thin, bio-inspired corrugated airfoils, the two-dimensional cut-throughs of wings. Lightweight membrane-like wings are a strong contender for use in unmanned aerial vehicles (UAVs) in thin atmospheres, like on Mars, and in UAV miniaturization.[#item_full_content]

A digitally fabricated guide developed by researchers at Science Tokyo captures and reproduces the spatial relationship between a musician’s lips and an air-reed instrument, such as a shakuhachi flute. By combining facial and intraoral scans using CAD and 3D printing, the team created a lightweight positioning guide based on an experienced player’s embouchure.A digitally fabricated guide developed by researchers at Science Tokyo captures and reproduces the spatial relationship between a musician’s lips and an air-reed instrument, such as a shakuhachi flute. By combining facial and intraoral scans using CAD and 3D printing, the team created a lightweight positioning guide based on an experienced player’s embouchure.[#item_full_content]

Right now, your brain is recognizing the shapes of these letters, analyzing their meaning and holding a stream of thought together—all on about 20 watts of power. That’s roughly what it takes to run a light bulb.Right now, your brain is recognizing the shapes of these letters, analyzing their meaning and holding a stream of thought together—all on about 20 watts of power. That’s roughly what it takes to run a light bulb.[#item_full_content]

MIT researchers have created a computing platform that could be used to develop intelligent and adaptive next-generation electronics that can perform multiple functions, like computing and memory, within one extremely compact, energy-efficient device.MIT researchers have created a computing platform that could be used to develop intelligent and adaptive next-generation electronics that can perform multiple functions, like computing and memory, within one extremely compact, energy-efficient device.[#item_full_content]

Researchers at Maynooth University (MU) have developed a first-of-its-kind DNA computer, described as one of the most complex and fastest molecular computers yet reported.Researchers at Maynooth University (MU) have developed a first-of-its-kind DNA computer, described as one of the most complex and fastest molecular computers yet reported.[#item_full_content]

Large language models (LLMs), the artificial intelligence (AI) systems supporting the functioning of ChatGPT, Gemini and similar conversational platforms, are often expected to answer queries, generate texts for specific purposes and make decisions without the supervision of human experts. Yet past studies suggest that these models can sometimes mislead users, producing unreliable answers that express high confidence in false or inaccurate statements.Large language models (LLMs), the artificial intelligence (AI) systems supporting the functioning of ChatGPT, Gemini and similar conversational platforms, are often expected to answer queries, generate texts for specific purposes and make decisions without the supervision of human experts. Yet past studies suggest that these models can sometimes mislead users, producing unreliable answers that express high confidence in false or inaccurate statements.[#item_full_content]

Artificial intelligence (AI) systems, particularly the large language models (LLMs) that underpin ChatGPT and similar platforms, are remarkably skilled at answering queries about a wide range of topics. However, the extent to which they can interpret social situations and predict how humans might respond in specific scenarios remains poorly understood.Artificial intelligence (AI) systems, particularly the large language models (LLMs) that underpin ChatGPT and similar platforms, are remarkably skilled at answering queries about a wide range of topics. However, the extent to which they can interpret social situations and predict how humans might respond in specific scenarios remains poorly understood.[#item_full_content]

MIT researchers have developed a new technique that helps generative artificial intelligence models find solutions to high-stakes problems. In these settings, a plausible answer is not enough: The output often must also satisfy nonnegotiable safety, physical or task-specific requirements, known as hard constraints.MIT researchers have developed a new technique that helps generative artificial intelligence models find solutions to high-stakes problems. In these settings, a plausible answer is not enough: The output often must also satisfy nonnegotiable safety, physical or task-specific requirements, known as hard constraints.[#item_full_content]

William Overman began his Ph.D. program at Stanford Graduate School of Business at an auspicious moment: just two months before ChatGPT launched publicly in November 2022, exploding the widely held understanding of what machines are capable of.William Overman began his Ph.D. program at Stanford Graduate School of Business at an auspicious moment: just two months before ChatGPT launched publicly in November 2022, exploding the widely held understanding of what machines are capable of.[#item_full_content]