Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...

Researchers have developed a novel generative AI model, called Collaborative Competitive Agents (CCA), that significantly ...

Erran Berger, VP of product engineering at LinkedIn, and team set to develop a highly detailed product policy document to ...

Abstract: Coordination at unsignalized intersections has attracted increasing attention in recent years, which aims at improving the efficiency of intersection operations, while eliminating conflicts ...

This manuscript introduces the Interaction Discrepancy Model (IDM), a theoretical framework designed to enhance our understanding of person-environment interactions. Traditional models often overlook ...

Tesla has unveiled the long-promised cheaper versions of its two main cars, dubbed the Model 3 Standard and Model Y Standard, after the expiration of the $7,500 tax credit for American buyers of most ...

iteration and iterative process line icon, vector Rapid application development RAD software methodology, process scheme Rapid application development RAD software methodology, detailed framework ...

Tesla has officially launched new versions of the Model S and the Model X in the US. As Electrek notes, however, the upgrades may not be quite as big or compelling as one could hope when the vehicles ...

What if you could build a fully functional product without a team of engineers, designers, and project managers? For solo founders, this might sound like a pipe dream. After all, wearing every ...

It’s no secret the Department of Defense has a clear focus of moving fast to get after the Secretary of Defense’s goals to put the U.S. Military out ahead, bolstering lethality and readiness. The Army ...

Most businesses struggle with innovation, not because they lack ideas, but because they lack a clear and effective process. Great ideas don’t emerge in a vacuum. They require structure, iteration, and ...

As large language models (LLMs) scale in size and capability, the choice of pretraining data remains a critical determinant of downstream performance. Most LLMs are trained on large, web-scale ...