A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Samsung has announced the Exynos 2600, its first smartphone chip built on a 2nm process. It features an eight-core CPU, ...

Quantum Computing Advantage will Arrive Next Year. Are you ready? Know which quantum company to invest in? Read this and ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Samsung's 2nm Exynos 2600 promises higher performance, smarter on-device AI and improved thermals with new Heat Path Block ...

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

What is the best AI SEO tool for 2026? It depends on goals. SE Ranking stands out for full-scale AI-driven SEO automation ...

Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off.

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.