OpenAI has released three new AI models—GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano—designed to deliver faster, more accurate results for developers. With enhanced coding skills, superior instruction-following, and massive data-handling capacity, the GPT-4.1 series is setting new benchmarks in practical AI applications.

NVIDIA has introduced the Nemotron family of AI models, designed to advance multistep reasoning, coding, and decision-making. With enhanced performance, broad accessibility, and strategic partnerships, Nemotron aims to accelerate the adoption of intelligent AI agents across industries.

Cerebras Systems has launched the WSE-3, its latest AI-focused processor featuring 900,000 cores and built for training massive models. With 125 petaflops of performance and cutting-edge architecture, it powers the CS-3 supercomputer and targets industries from drug discovery to climate modeling.

A new AI model, ECgMLP, developed by researchers from Bangladesh, Australia, and Canada, achieves 99.26% accuracy in detecting endometrial cancer using microscopic tissue images. It also demonstrates high accuracy in diagnosing colorectal, breast, and oral cancers, offering a potential breakthrough in early cancer detection and clinical decision-making.

Fei-Fei Li’s s1-32B introduces a new approach to low-cost AI distillation, achieving strong reasoning results at a reported cloud cost under US$50. The model’s efficiency invites comparison with DeepSeek’s US$5.6 million development budget, signalling a shift in how AI capabilities may be scaled.