Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Smartphone use now exceeds three hours a day on average, while total daily screen time for many adults crosses six hours. This constant close-up focus has made eye fatigue, dryness, blurred vision, ...

To be useful in more dynamic and less structured environments, robots need artificial intelligence trained on a variety of sensory inputs. Microsoft Corp. today announced Rho-alpha, or ρα, the first ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

DeepSeek published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial intelligence industry’s effort to compete with the likes of OpenAI despite a lack ...

According to @SciTechera, a new AI training approach applies next-token prediction—commonly used in language models—to Vision AI by treating visual embeddings as sequential tokens. This method for ...

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

With the great success of large language models, self-supervised pre-training technologies have shown the great promise in the field of drug discovery. In particular, multimodal pre-training models ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

According to @OriolVinyalsML, the key to Gemini 3’s remarkable progress lies in significant advancements in both pre-training and post-training of the model. Contrary to the popular belief that ...

Abstract: Establishing local semantic correspondences between medical images and their corresponding reports is crucial for effective medical vision-language pre-training. However, existing methods ...