Microsoft launches 3 new AI models in direct shot at OpenAI and Google

Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...

Google releases Gemma 4 under Apache 2.0 — and that license change may matter more than benchmarks

As some Chinese AI labs (most notably Alibaba’s latest Qwen models, Qwen3.5 Omni and Qwen 3.6 Plus) have begun pulling back ...
CNX Software

Mekotronics R57-5S – Rockchip RK3576 mini PC and digital player integrates inclined 5-inch touchscreen display

Mekotronics is known for its unusual Rockchip devices, and the R57-5S is a Rockchip RK3576 mini PC for kiosks and digital ...
WinBuzzer

Cohere’s Open-Source Transcribe Model Tops ASR Leaderboard

Cohere has released Transcribe, a 2-billion-parameter open-source speech recognition model that tops the Hugging Face Open ...
the-decoder

Meta's new AI model predicts how your brain reacts to images, sounds, and speech

A new AI model from Meta predicts how the human brain reacts to images, sounds, and speech. In tests, it often matched the typical brain response better than any single person's scan. Brain research ...
IEEE

A Siamese Encoder-Decoder Model with Attention for LLM Prompt Reconstruction

Abstract: Reconstructing prompts in text generation systems is a significant challenge in natural language processing (NLP). This study presents a novel Siamese encoder-decoder framework augmented ...
the-decoder

Arm breaks from its licensing-only model with first in-house chip built for AI data centers

For the first time in its 35-year history, Arm has manufactured its own chip, expanding beyond its long-standing business model of licensing chip designs to companies like Apple and Nvidia. The new ...
The Verge

Yahoo CEO Jim Lanzone on reviving the web’s homepage

How Yahoo escaped its Verizon death spiral and became profitable again. If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is editor-in-chief of The ...
IEEE

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli

Abstract: We propose an end-to-end deep neural encoder-decoder model to encode and decode brain activity in response to naturalistic stimuli using functional magnetic resonance imaging (fMRI) data.