Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel ...

Samsung is sunsetting its own chat app while Apple adds end-to-end encryption to its already-live RCS, hinting that the final texting firewall might soon drop. Meanwhile, Cloudflare drafts a ...

In this tutorial, we build and run a Colab workflow for Gemma 3 1B Instruct using Hugging Face Transformers and HF Token, in a practical, reproducible, and easy-to-follow step-by-step manner. We begin ...

Engineers from OLX reported that a single-line modification to dependency requirements allows developers to exclude unnecessary GPU libraries, shrinking contain ...

Crews install public electric vehicle charging equipment and related infrastructure, work that had stalled in several states during a federal freeze on NEVI funding and is now set to move forward ...

Daimler Buses is accelerating the rollout of public charging infrastructure for electric buses, confirming plans to install four high-power charging stations at Munich’s Central Bus Station (ZOB) by ...

📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages. 🖼️ Images, for tasks like image ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.