By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...

Abstract: Spiking neural networks (SNNs) have tremendous potential for energy-efficient neuromorphic chips due to their binary and event-driven architecture. SNNs have been primarily used in ...

The Black-Scholes model remains the 2026 gold standard for pricing trillions in derivatives. It uses five key data points: stock price, strike, time, interest rates, and volatility. This math-heavy ...

In a new study published in The Planetary Science Journal, scientists from the University of Chicago and Jet Propulsion ...

This repository has been consolidated into model-runner. All future development, issues, and pull requests should be directed there. Please visit the new repository ...

Chinese and Western large language models are reshaping global information power, embedding political world views into the ...

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

The global outcry over the sexualisation and nudification of photographs – including of children – by Grok, the chatbot ...

[7 Jan 2023] ROIC-DM: Robust Text Inference and Classification via Diffusion Model ...

The Great Red Spot is a gigantic storm, twice the size of Earth, that has swirled for centuries. It’s just one of many on the ...

Run LTX-2 locally to craft 20-second video clips with resolution, frame rate, and camera motion controls, speeding up edits ...

Abstract: Recently, the diffusion model has emerged as a powerful generative technique for robotic policy learning, capable of modeling multi-mode action distributions. Leveraging its capability for ...