Dodging potholes is a familiar routine for drivers. But, behind every bump and crack in the pavement is a bigger issue: many communities lack the tools and data they need to maintain their roads effectively. Traditional pavement assessments rely on expensive, specialized vehicles outfitted with high-resolution sensors. These resources are typically reserved for major highways and high-traffic corridors, leaving neighborhood streets and local roads under-monitored and under-maintained.Dodging potholes is a familiar routine for drivers. But, behind every bump and crack in the pavement is a bigger issue: many communities lack the tools and data they need to maintain their roads effectively. Traditional pavement assessments rely on expensive, specialized vehicles outfitted with high-resolution sensors. These resources are typically reserved for major highways and high-traffic corridors, leaving neighborhood streets and local roads under-monitored and under-maintained.Automotive[#item_full_content]

Generative artificial intelligence (AI) has the potential to revolutionize fashion design. By recognizing patterns in data and generating new text and images, AI models powered by deep learning algorithms can help fashion designers develop new catalogs, expanding their creativity, with added efficiency, helping to bring products to the market faster.Generative artificial intelligence (AI) has the potential to revolutionize fashion design. By recognizing patterns in data and generating new text and images, AI models powered by deep learning algorithms can help fashion designers develop new catalogs, expanding their creativity, with added efficiency, helping to bring products to the market faster.Business[#item_full_content]

Artificial intelligence is advancing at a dizzying speed. Like many new technologies, it offers significant benefits but also poses safety risks. Recognizing the potential dangers, leading researchers from Google DeepMind, OpenAI, Meta, Anthropic and a coalition of companies and nonprofit groups have come together to call for more to be done to monitor how AI systems “think.”Artificial intelligence is advancing at a dizzying speed. Like many new technologies, it offers significant benefits but also poses safety risks. Recognizing the potential dangers, leading researchers from Google DeepMind, OpenAI, Meta, Anthropic and a coalition of companies and nonprofit groups have come together to call for more to be done to monitor how AI systems “think.”Computer Sciences[#item_full_content]

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly answer even the simplest math problems.Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly answer even the simplest math problems.Computer Sciences[#item_full_content]

Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Robotics[#item_full_content]

Just as people from different countries speak different languages, AI models also create various internal “languages”—a unique set of tokens understood only by each model. Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance.Just as people from different countries speak different languages, AI models also create various internal “languages”—a unique set of tokens understood only by each model. Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance.Machine learning & AI[#item_full_content]

Large language models (LLMs) sometimes lose confidence when answering questions and abandon correct answers, according to a new study by researchers at Google DeepMind and University College London.Large language models (LLMs) sometimes lose confidence when answering questions and abandon correct answers, according to a new study by researchers at Google DeepMind and University College London.Machine learning & AI[#item_full_content]

As more and more sectors experiment with artificial intelligence, one of the areas that has most quickly adopted this new technology is law enforcement. It’s led to some problematic growing pains, from false arrests to concerns around facial recognition.As more and more sectors experiment with artificial intelligence, one of the areas that has most quickly adopted this new technology is law enforcement. It’s led to some problematic growing pains, from false arrests to concerns around facial recognition.Consumer & Gadgets[#item_full_content]

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