Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
GeoTessera 0.10.0 and 0.10.1 have been released, moving hosting to the Source Cooperative with CloudFlare edge caching for improved stability and lower latency. The release follows a year of adoption for TESSERA embeddin…
Amazon Mechanical Turk (MTurk), Amazon's crowdsourcing marketplace for microtasks and machine learning data annotation, will shut down on September 30, according to an announcement on its website. The platform, which has…
A developer measured a week of production inference traffic and found that routing requests by task difficulty cut cost per call roughly 48x, from $0.0052 to $0.00011. The analysis shows that using a frontier model for a…
Waymo, with more than 200 million miles driven fully autonomously, has identified ten fundamental truths for building AI, including the indispensability of multimodal sensors and the use of HD maps as a powerful prior. T…
ServiceNow, through its Moveworks subsidiary, is hiring a Staff Machine Learning Engineer for its Agent Eval Platform in Mountain View, California, to build the judgment layer that scores AI agent trajectories. The role …
Researchers at an undisclosed institution submitted a paper to arXiv on December 5, 2023, demonstrating that hypernetworks can generate interpretable neural networks whose underlying algorithms are not known in advance. …
Meta Platforms Inc. unveiled its MTIA 400 accelerator at the Hot Chips conference, designed for both LLM training and ad-serving inference, delivering 12 petaFLOPS of MXFP4 compute at 1.7 GHz, which is about 20 percent f…
The PyTorch Ecosystem Working Group welcomed 10 new projects to the PyTorch Ecosystem Landscape, including Perforated, AReaL, TorchJD, RLinf, Miles, SMG, FiftyOne, TokenSpeed, VisualTorch, and TorchSurv. Perforated, a da…
NVIDIA published a tutorial on training a cross-embodiment robot navigation policy using an agent-driven workflow based on its COMPASS framework, which reuses the pretrained NVIDIA X-Mobility policy and trains a residual…
On August 15, Anthropic CEO Dario Amodei argued that AI companies will earn trust by curing diseases, and the past week showcased advances in AI-driven medicine, including Moderna and Merck's INTerpath-001 trial, which e…
Researchers proposed FIBER, a thread-register decoupled GPU execution model that extends the SIMT architecture to improve tensor computation efficiency, achieving a 2.25x end-to-end speedup on Ampere, 1.8x on Hopper, and…
A developer built an in-memory explicit content filter for Node.js that classifies images without ever writing them to disk, achieving roughly 200ms latency. The solution uses multer's memoryStorage and the nsfwjs librar…
Northeastern University bioinformatics graduate student Megha Prasad used AI to analyze Eastern oyster genomics, identifying genes linked to climate adaptation and uncovering overlooked genetic changes. Her work at the C…
A new preprint analyzing 8 open Transformer models finds that internal representations show statistically significant structured progression across depth (p = 0.00019996, 8/8 leave-one-model-out checks) and a coherent cr…
Scale AI is hiring a Machine Learning Research Scientist for its evaluations pod within the GenAI Research Organization, offering a base salary of $180,600–$225,750 in San Francisco, New York, or Seattle. The role focuse…
A new guide lists eight online and offline communities for learning AI in 2025, including Reddit's r/MachineLearning with over 3 million subscribers, OpenAI's Discord server with over 500,000 members, and Hugging Face wi…
Google released Gemini 3.5 Transcribe on August 26th, a speech-to-text model for live and recorded audio that handles 85+ languages, custom vocabulary, and up to three speakers, with streaming and non-streaming endpoints…
A developer detailed an eight-stage interview process at a fintech company, covering Python internals, rate limiting, and ML CI/CD. The process included a Demo Day, live coding, and a final round, with questions on TypeV…
An engineer argues that LLM evaluation is fundamentally a parameter sweep and should be treated as such, using tools like pydantic-evals and oryxflow instead of SaaS platforms. The post demonstrates a classification eval…
A new method from Amazon scientists, presented at the International Conference on Machine Learning (ICML), improves LLM-as-a-judge evaluation by accounting for correlations between judges' outputs, outperforming the best…