AI coding benchmark MirrorCode published its full results June 26, showing Claude Opus 4.7 autonomously rebuilt a 60,000-line interpreter and scored 56% overall — completing tasks that take human ...

The Eleventh Conference on Machine Translation (WMT26) has moved into its active evaluation phase, with test data releases and submission windows now opening across several of the conference’s shared ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

Cecuro reports 91.45% vulnerability detection on EVMBench, the independent benchmark from OpenAI and Paradigm, up from 87.17% and more than double the best general-purpose frontier model ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Alibaba’s Qwen team published three separate AI models designed to give robots the ability to see, manipulate objects, and ...

Researchers at Mass General Brigham recently developed BRIDGE, a multilingual benchmark that evaluates how well large language models (LLMs) understand clinical patient care text, including language ...

Benchmark Senior Living is emphasizing personal connection and supporting more nonpharmacological interventions in memory care through new programming and engagement. The Waltham, Massachusetts-based ...

Here’s a dirty secret about AI coding agents: they can write code that works, but they often write code that no human reviewer would ever approve. Cognition Labs just built a benchmark to prove it.

Abstract: Large Language Models (LLMs) achieve near-human performance on general-purpose benchmarks such as MATH and GSM8K, yet their ability to solve domain-specific numerical problems remains ...