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]
A study of Chile’s workforce finds that AI could “accelerate” nearly half of the tasks performed by the country’s 100 most common jobs.A study of Chile’s workforce finds that AI could “accelerate” nearly half of the tasks performed by the country’s 100 most common jobs.Business[#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.”[#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.[#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]
Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.Robotics[#item_full_content]
Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.[#item_full_content]
Lovable becomes a unicorn with $200M Series A just 8 months after launch
Only eight months after its launch, Sweden’s Lovable has raised a $200 million Series A round led by Accel at a $1.8 billion valuation.Only eight months after its launch, Sweden’s Lovable has raised a $200 million Series A round led by Accel at a $1.8 billion valuation.[#item_full_content]