Explore the 2026 ARM vs x86 battle—comparing processor architecture, CPU performance, and energy efficiency to reveal which chip design leads modern computing innovation. Pixabay, kenchan4 The ...

Abstract: In the past few years, group-based sparse representation (GSR) has emerged as a powerful paradigm for image inverse problems by synergizing model-driven interpretability with nonlocal ...

Deep Think is Gemini’s “specialized reasoning mode,” and Google today announced a “major upgrade” to let it “solve modern challenges across science, research, and engineering.” Google worked with ...

A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

SpaceX's planned IPO expected to develop space AI data centre buildout China's plans for space tourism signal a shift in space ambitions China's new spaceflight academy aims to foster talent for deep ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

For the past year, enterprise decision-makers have faced a rigid architectural trade-off in voice AI: adopt a "Native" speech-to-speech (S2S) model for speed and emotional fidelity, or stick with a ...

A large Chinese research team has developed an air quality model called EPICC (Emission and atmospheric Processes Integrated and Coupled Community Model) that demonstrates improved accuracy in its ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...