Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

The two parties will jointly establish Goooo AI Research Labs, focusing on long-term research and development in AI Agents, ...

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 ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Perplexity has announced a major new feature coming soon to Perplexity Computer: the ability to split tasks between local and cloud models. Perplexity Computer is the company’s agentic system for ...

On Tuesday, Nature released two papers describing AI systems intended to help scientists develop and test hypotheses. One, Google’s Co-Scientist, is designed as what they term “scientist in the loop,” ...

I have eight years of experience covering Android, with a focus on apps, features, and platform updates. I love looking at even the minute changes in apps and software updates that most people would ...

Abstract: With the continuous growth in the number of parameters of the Transformer-based pretrained language models (PLMs), particularly the emergence of large language models (LLMs) with billions of ...

AI automation typically requires task-level fixed costs, such as model training or fine-tuning. We develop a quantitative task-based framework in which automation depends jointly on relative marginal ...

It could take six months to fully clear the Strait of Hormuz of mines deployed by the Iranian military, and any such operation is unlikely to be carried out until the U.S. war with Iran ends, the ...

Google introduced new features for Search that continues its evolution into a more task-oriented tool, enabling users to launch AI agents directly from AI Mode and complete more tasks. This is a trend ...

About The Study: The findings of this study suggest that despite progress, current large language models remain limited in early diagnostic reasoning and cannot yet be relied on for unsupervised ...