Google Deepmind's Co-Scientist, built on Gemini models, now conducts lab experiments, writes scientific papers, and verifies results across three disciplines, according to a 2026 report.
A study by Wharton researchers shows AI shopping agents can drastically shift recommendations based on context, with one source changing choices by up to 99 percentage points.
Enterprise AI adoption faces significant challenges not from autonomous agents, but from the complexity in managing interactions between them, according to VentureBeat.
A study involving over 1,000 students found that using ChatGPT and critical-thinking training improved academic work in different ways, with ChatGPT boosting quality and coherence.
Hugging Face's TransVLM model achieves 78.3% segment F1 on public data and 89.5% on synthetic data, outperforming existing methods.
Hugging Face's TAVR outperforms existing methods with an overall quality score of 16.42 on a new cross-scene benchmark, surpassing the next best method by 2.29 points.
AWS outlines data preparation steps for supervised fine-tuning, emphasizing quality checks and formatting for effective model training.
Hugging Face clarifies that engrams are embeddings used in large language models to capture linguistic concepts, with a focus on how they handle sequence information.
AI models solved 18% of New York Times Connections puzzles in late 2024, but improved to near-perfect accuracy by early 2025.
A new approach allows self-driving cars to adjust their behavior based on natural language input from passengers, as reported by IEEE Spectrum.
Human children master language with far less data than AI models, which require vast amounts of text to achieve fluency, according to new research.
A new theoretical study argues that AI might make scientific research worse, not better, by reducing the effort spent on each project.