CLASSIC enables large-scale testing of complex DNA circuits in human cells, advancing data-driven synthetic biology.

Nvidia › Over the past decade, the artificial intelligence (AI) market has expanded as companies launched faster, more ...

A new technical paper titled “Algorithm-Driven On-Chip Integration for High Density and Low Cost” was published by researchers at University of Southern California. “Growing interest in semiconductor ...

Advancing self-reliance, the authors said, will require strong coordination across humanitarian, development and government partners, a commitment to data-driven programming and policies that ...

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...

The demand for energy is increasing rapidly, driven by the growth of data centers and the electrification of the power grid. Natural gas is a top energy source due to its cleaner-burning ...

Axiom Space and Spacebilt plan to install an optically interconnected orbital data center node on the International Space Station in 2027. Credit: Axiom Space As the space industry explores orbital ...

The new law seeks to prevent retailers from ripping off consumers by using artificial intelligence and their personal data to charge them higher prices. By Tim Balk As New Yorkers scrolled, surfed and ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

Gracenote has updated its Data Hub with Q4 2025 data. Key highlights from the new release include a decrease in total SVoD programming compared to the previous quarter, and an uptick in sports content ...

AMD recently held its first financial analyst’s day, where CEO Lisa Su AMD said the vendor now sees a total addressable AI market could be over $1 trillion by 2030, doubling last year’s stated target ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...