High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Feedback refers to a core concept in circuit design and control theory, used to stabilize amplifiers and control system ...

The Rubin launch, now slated for mid-2026 availability, marks a shift in Nvidia's traditional rollout cadence. The company ...

Real-time hypervisors — the central technology for workload consolidation — enable the safe execution of multiple workloads ...

The AI chip giant has taken the wraps off its latest compute platform designed for test-time scaling and reasoning models, alongside a slew of open source models for robotics and autonomous driving.

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...

If nothing else, the positive noise around Intel's new nodes seems to be increasing. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Has AMD ...

Atomic-scale strain created during growth turns out to be the hidden lever controlling excitons in WS 2 layered on graphene. Study: Excitons in Epitaxially Grown WS2 on Graphene: A Nanometer-Resolved ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...