Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Since it is compatible with CMOS processes of classic silicon technology, SiC would be ideal for the industrial mass ...

Silicon carbide is for photonic circuits and quantum devices. Atomic layer processing boosts SiC waveguides and resonators, improving performance.

The explosion in data quantity has kept the marriage of computing and statistics thriving through successive hype cycles: “big data,” “data science,” and now “AI.” ...

Silicon carbide (SiC) is a promising material platform for photonic integrated circuits (PICs) and miniaturized solid-state quantum systems. In the ALP-4-SiC project, researchers from the Max Planck ...

The mini-studio A24 has become synonymous with high-quality films, but as these 10 movies show, not everything they produce turns out well.

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...

Q4 2025 Earnings Call January 27, 2026 4:30 PM ESTCompany ParticipantsMichael BauerEric Clark - President, CEO ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

The cells in our bodies move in groups during biological processes such as wound healing and tissue development—but because of resistance, or viscosity, those cells can't just neatly glide past each ...

The cells in our bodies move in groups during biological processes such as wound healing and tissue development - but because ...

A few years ago, I had lunch with the head of a major motion picture studio, who declared that his central problem was not finding good people—it was finding good ideas. Since then, when giving talks, ...