The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.

Everything changes with time. Some changes happen so rapidly — like 7 frames or more per second — that we perceive them as ...

AI agents could rewrite computer-based work fast. Anthropic’s Boris Cherny calls the shift “painful.” Here’s what changes and ...

Generative AI tools analyzed target networks and wrote exploit code, enabling an opportunistic attacker to have an outsized ...

Gigasoft releases ProEssentials v10 with GPU compute shaders and publishes six-part WPF chart library comparison for ...

Celebrating Ten Years of Innovation, Leadership, and Lasting Impact Bert’s decade of contributions has shaped Ring in ...

Google launches Gemini 3.1 Pro with major gains in complex reasoning, multimodal capabilities, and benchmark-leading AI ...

In the Chicago Urban Heritage Project, College students are turning century-old insurance atlases into interactive digital ...

Which tech jobs are actually hiring in 2026? Not always the ones you'd expect. The real growth is in roles that build AI's infrastructure—not just its code.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

For more information on Hyperscale Data and its subsidiaries, Hyperscale Data recommends that stockholders, investors and any other interested parties read Hyperscale Data's public filings and press ...

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.