techxplore

China's Meituan says new AI model trained on domestic chips

Chinese tech firm Meituan launched a new artificial intelligence model on Tuesday that it said was the first of its size to be trained using domestically developed computer chips. The country is ...
Communications of the ACM

Teaching LLMs to Give Better Answers

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
Global Investigative Journalism Network

AI Accountability Reporting Guide

This reporting guide helps investigative journalists understand some of the nitty-gritty of the technology underlying AI and ...

The weather and climate science AI revolution isn’t revolutionary

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...
GitHub

APPFL - Advanced Privacy-Preserving Federated Learning Framework.

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...
IEEE

Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery

Abstract: Machine learning methods are becoming more and more popular in the field of computer-aided drug design. The specific data characteristic, including sparse, binary representation as well as ...
TechCrunch

Meta’s loss is Thinking Machines’ gain

Weiyao Wang spent eight years at Meta — his first job out of college — helping build multimodal perception systems and contributing to open-world segmentation projects, including SAM3D. His final day ...
IEEE

A Brute-Force Black-Box Method to Attack Machine Learning-Based Systems in Cybersecurity

Abstract: Machine learning algorithms are widely utilized in cybersecurity. However, recent studies show that machine learning algorithms are vulnerable to adversarial examples. This poses new threats ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
GitHub

Unity ML-Agents Toolkit

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations ...