Disrupt is where companies meet their first investors, form game-changing partnerships, and spark the ideas that take them to the next level. Book your table now.Disrupt is where companies meet their first investors, form game-changing partnerships, and spark the ideas that take them to the next level. Book your table now.[#item_full_content]
Walk into a shop, board a plane, log into your bank, or scroll through your social media feed, and chances are you might be asked to scan your face. Facial recognition and other kinds of face-based biometric technology are becoming an increasingly common form of identification.Walk into a shop, board a plane, log into your bank, or scroll through your social media feed, and chances are you might be asked to scan your face. Facial recognition and other kinds of face-based biometric technology are becoming an increasingly common form of identification.Security[#item_full_content]
We’re offering exclusive bundle deals for founders and investors attending TechCrunch Disrupt 2025. Bring a group of 4 or more and save up to 20%. This offer ends Friday, October 3, at 11:59 p.m. PT.We’re offering exclusive bundle deals for founders and investors attending TechCrunch Disrupt 2025. Bring a group of 4 or more and save up to 20%. This offer ends Friday, October 3, at 11:59 p.m. PT.[#item_full_content]
Fidget poppers are an example of “bistability,” as the popped circles rest in one of two stable states. Purdue University researchers have taken this idea to its extreme, building robots that can be preprogrammed and controlled using just the physical properties of these fidget poppers.Fidget poppers are an example of “bistability,” as the popped circles rest in one of two stable states. Purdue University researchers have taken this idea to its extreme, building robots that can be preprogrammed and controlled using just the physical properties of these fidget poppers.[#item_full_content]
Cerebras initially filed to go public in September 2024 but ran into several regulatory delays due to foreign investments.Cerebras initially filed to go public in September 2024 but ran into several regulatory delays due to foreign investments.[#item_full_content]
Whoop Advanced Labs marries subscription blood tests with its fitness device monitoring for tech-powered wellness advice.Whoop Advanced Labs marries subscription blood tests with its fitness device monitoring for tech-powered wellness advice.[#item_full_content]
California Governor Gavin Newsom has signed into law groundbreaking legislation requiring the world’s largest artificial intelligence companies to publicly disclose their safety protocols and report critical incidents, state lawmakers announced Monday.California Governor Gavin Newsom has signed into law groundbreaking legislation requiring the world’s largest artificial intelligence companies to publicly disclose their safety protocols and report critical incidents, state lawmakers announced Monday.Internet[#item_full_content]
US startup Anthropic on Monday announced the launch of its new generative artificial intelligence model, Claude Sonnet 4.5, which it says is the world’s best for computer programming.US startup Anthropic on Monday announced the launch of its new generative artificial intelligence model, Claude Sonnet 4.5, which it says is the world’s best for computer programming.Machine learning & AI[#item_full_content]
The Y Combinator startup, raised a Series A led by Peak XV Partners.The Y Combinator startup, raised a Series A led by Peak XV Partners.[#item_full_content]
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as variational autoencoders with infinitely many latent variables, reducing computational costs and preventing overfitting. By appropriately interrupting the training of the encoder, this approach enabled development of more efficient generative AI, with broad applicability beyond standard diffusion models.A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as variational autoencoders with infinitely many latent variables, reducing computational costs and preventing overfitting. By appropriately interrupting the training of the encoder, this approach enabled development of more efficient generative AI, with broad applicability beyond standard diffusion models.[#item_full_content]
