Generative artificial intelligence (AI) is getting better at imitating human beings. It can create things that previously only humans could produce, like music, texts and images. AI is now also being used to imitate God, through chatbots that simulate conversation with human users and can be accessed on websites and apps.Generative artificial intelligence (AI) is getting better at imitating human beings. It can create things that previously only humans could produce, like music, texts and images. AI is now also being used to imitate God, through chatbots that simulate conversation with human users and can be accessed on websites and apps.Machine learning & AI[#item_full_content]
High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in real-world scenarios, such as chatbots interacting with customers, or the AI code assistants used by millions of users daily.High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in real-world scenarios, such as chatbots interacting with customers, or the AI code assistants used by millions of users daily.Machine learning & AI[#item_full_content]
AI seems to be well on its way to becoming pervasive. You hear rumbles of AI being used, somewhere behind the scenes, at your doctor’s office. You suspect it may have played a role in hiring decisions during your last job search. Sometimes—maybe even often—you use it yourself.AI seems to be well on its way to becoming pervasive. You hear rumbles of AI being used, somewhere behind the scenes, at your doctor’s office. You suspect it may have played a role in hiring decisions during your last job search. Sometimes—maybe even often—you use it yourself.Machine learning & AI[#item_full_content]
Elad Gil — one of tech’s sharpest minds — on early bets, breakout growth, and what’s coming next at TechCrunch Disrupt 2025
Elad Gil isn’t just ahead of the curve — he practically lives there. Before most of the world had even asked ChatGPT its first question, Gil was writing early checks into companies like Perplexity, Character.AI, and Harvey. And that’s just a slice of the story. His track record includes seed or Series A investments in […]Elad Gil isn’t just ahead of the curve — he practically lives there. Before most of the world had even asked ChatGPT its first question, Gil was writing early checks into companies like Perplexity, Character.AI, and Harvey. And that’s just a slice of the story. His track record includes seed or Series A investments in[#item_full_content]
Mechanical engineering researchers at the UCLA Samueli School of Engineering have designed a mattress that helps prevent bedsores by alternating pressure across the body and, at times, increasing peak pressure rather than reducing it to restore blood flow.Mechanical engineering researchers at the UCLA Samueli School of Engineering have designed a mattress that helps prevent bedsores by alternating pressure across the body and, at times, increasing peak pressure rather than reducing it to restore blood flow.[#item_full_content]
Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn’t just a drag on drivers’ patience—unproductive vehicle idling could contribute as much as 15% of the carbon dioxide emissions from U.S. land transportation.Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn’t just a drag on drivers’ patience—unproductive vehicle idling could contribute as much as 15% of the carbon dioxide emissions from U.S. land transportation.Automotive[#item_full_content]
When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.[#item_full_content]
When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.Computer Sciences[#item_full_content]
Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical reactions, instead of relying on combustion. Promising types of fuel cells are direct methanol fuel cells (DMFCs), devices specifically designed to convert the energy in methyl alcohol (i.e., methanol) into electrical energy.Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical reactions, instead of relying on combustion. Promising types of fuel cells are direct methanol fuel cells (DMFCs), devices specifically designed to convert the energy in methyl alcohol (i.e., methanol) into electrical energy.Energy & Green Tech[#item_full_content]
A new approach called open ad-hoc categorization (OAK) helps AI systems dynamically reinterpret the same image differently depending on the categorization context, rather than using fixed visual interpretation. A University of Michigan-led study on this topic was presented in June 2025 at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Nashville, Tennessee.A new approach called open ad-hoc categorization (OAK) helps AI systems dynamically reinterpret the same image differently depending on the categorization context, rather than using fixed visual interpretation. A University of Michigan-led study on this topic was presented in June 2025 at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Nashville, Tennessee.Machine learning & AI[#item_full_content]
