When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Governor Joe Lombardo enters 2025 with a fundraising operation fueled largely by casino and construction interests, reporting ...

Vision language models can help robots create effective automation in chaotic environments, augmenting human capabilities.

Programming began as a way to give simple instructions to machines that barely worked. Over decades, it evolved through punch cards, assembly language, and high-level code into something that now runs ...

Abstract: Decompilation plays a critical role in firmware analysis and reverse engineering by enabling the recovery of high-level source code from binary executables. However, existing neural ...

Abstract: Machine learning (ML) has been successfully employed to estimate power consumption for FPGAs using features derived from the results of High Level Synthesis (HLS). However, such models ...

The Steam Machine's price isn't certain yet, but don't expect it to come subsidized. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.