Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Impact of AlphaEvolve, a Gemini-powered coding agent developed by Google DeepMind, which has graduated from pilot testing to become a core infrastructure tool. It has optimized the design of next-generation TPUs, improve…
Ten key technologies expected to define 6G wireless networks, including THz communications, AI/ML, and reconfigurable intelligent surfaces. It explains that 6G will utilize frequencies above 100 GHz and the 7–24 GHz rang…
The Open ASR Leaderboard has added private, high-quality English ASR datasets from Appen Inc. and DataoceanAI to prevent "benchmaxxing" and test-set contamination. While the average Word Error Rate (WER) still defaults t…
Meta researchers developed In-Kernel Broadcast Optimization (IKBO), a kernel-model-system co-design that eliminates redundant user-embedding replication during recommendation model inference. Deployed across Meta's multi…
This article is a transcript from the Stack Overflow podcast featuring Brian O'Grady from Qdrant, who discusses the differences between vector databases and Lucene-based architectures like Elasticsearch. The conversation…
Researchers analyzing weight files from over a dozen open-weight language models — spanning labs including Qwen, DeepSeek, Google, and OpenAI, from 0.6 billion to 1.4 trillion parameters — found that bfloat16 weights car…
Researchers have developed Progressive Self-Correction (ProSeCo), a framework that enables masked diffusion models to correct previously generated tokens rather than leaving them fixed. The method reuses the model's deno…
The Gemini API has introduced event-driven Webhooks to replace inefficient polling for long-running tasks like video generation or batch processing. This push-based system sends real-time HTTP POST notifications to a dev…
DeepMind's AlphaTensor, AlphaDev, and FunSearch are among 20 AI systems for scientific discovery catalogued with their publications and code repositories. The list includes projects like AI Feynman for symbolic regressio…
This article presents benchmark results comparing the performance of a Qwen3.6 model running in standard mode versus with Multi-Token Prediction (MTP) enabled. The MTP configuration with a draft of 3 tokens achieved a si…
A new browser called Web of Babel allows users to visit any possible URL, real or imagined, by rendering web pages from the latent space of a large language model. The tool generates content for every web address based o…
A developer has released a Python script that transplants extra tensors—such as Multi-Token Prediction (MTP) layers—from one GGUF file into another, enabling the creation of mixed-quantization models. The tool preserves …
A security researcher uploaded a poisoned dataset to Hugging Face containing 1,050 Python code snippets, 50 of which were backdoored to execute shell commands when a specific trigger string appeared. The dataset remained…
A developer deployed the Qwen 3.6-35B-A3B FP8 mixture-of-experts model (3 billion active parameters) on a DGX Spark GB10 system using vLLM, achieving inference with a 262,144-token context window and FP8 KV cache. The co…
Google Research announced a new open science initiative on May 1, 2026, built on principles of responsible, inclusive, and rigorous research to accelerate global scientific discovery. The company will release open-source…
This article from O'Reilly Radar examines the challenge of governing autonomous AI systems, arguing that requiring synchronous approval for every decision creates brittle, slow architectures. Instead, it advocates for di…
Google DeepMind's "AI co-clinician" research initiative, which aims to develop AI that functions as a collaborative member of the care team under expert clinical supervision. The initiative is designed to address a globa…
The PyTorch Lightning deep-learning framework was compromised on PyPI, with versions 2.6.2 and 2.6.3 containing a credential-stealing worm called Shai-Hulud. The malware activates when Python code runs `import lightning`…
Together AI has partnered with Adaption to integrate Together Fine-Tuning into Adaption's Adaptive Data platform, enabling users to optimize training datasets and directly execute fine-tuning on leading open models. The …
A 22% throughput improvement and up to 97.5% cache hit rate is achievable on LLM serving clusters by routing requests to GPUs that already hold their token prefixes in KV cache, rather than using round-robin load balanci…