Discover how to build a homemade rubber band-powered paper airplane in this easy and engaging tutorial. We’ll guide you step-by-step as you craft the frame with skewers, add aerodynamic paper wings, ...

The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

Dollar General thrives by targeting rural communities with lower median incomes and larger household sizes, positioning itself as Rural America's store of choice. DG's locations are strategically ...

General Intuition PBC, a startup developing artificial intelligence models that can navigate three-dimensional environments, has raised $133.7 million in funding. TechCrunch reported today that Khosla ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

Attorney General Pam Bondi pledges to go after "hate speech," saying there's no place for it after Charlie Kirk’s assassination. But that isn't U.S. law under the First Amendment, and Kirk himself ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

Top AI companies are in a race to develop artificial general intelligence. The large language models powering popular chatbots, however, are showing their limits. Some researchers say world models or ...

The General Services Administration (GSA) Headquarters building. (SAUL LOEB/AFP via Getty Images) The General Services Administration will roll out a new governmentwide tool Thursday that gives ...

Abstract: For a relatively small labeled dataset from high-dimensional generalized linear models with block-wise missing covariates and a large unlabeled dataset, we utilize a model-assisted approach ...