Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
The journal Nature Reviews Physics published a forward-looking review article by an international team of scientists on self-organizing physical networks that compute directly within hardware rather than running neural n…
The arrowspace graph-building system scaled to 100,000-dimensional data, processing 800 samples from the Dorothea biomarker dataset in 41-110 seconds with over 600× memory compression (610 MB to 1 MB), according to a per…
A new industry overview argues that AIoT — the combination of artificial intelligence and the Internet of Things — is becoming the next frontier of industrial innovation by moving connected-device deployments from simple…
A study published in the journal Radiology, led by radiologists at Johns Hopkins University, used a deep-learning algorithm to analyze chest CT scans from more than 2,000 patients and found that lower vertebral bone mine…
Xiaomi's MiMo-V2.6 Pro ranks No. 1 on open-weight benchmarks by weighted average despite using a classic Grouped Query Attention architecture with Sliding Window Attention at a 128-token window, according to training not…
Astrus, a Khosla-backed startup, has raised new funding to automate analog chip design using reinforcement learning, targeting one of the biggest bottlenecks in chip design. The post With new funding, Astrus prepares to …
TypeSafe AI shipped Jev, a non-LLM model that returns one answer from a fixed set of options with an attached probability, targeting the hundreds of micro-decisions inside software factories. Jev runs in 70 to 500 millis…
A new method called prediction-powered smoothing and validation addresses disaggregated AI evaluation by treating the evaluation set as a finite population, since performance varies across domains such as benchmark task …
A developer detailed how the ESP32-S3 microcontroller paired with Google's TensorFlow Lite Micro framework can replace dedicated voice chips for wake word detection and on-device sound classification. The writeup covers …
Predictive AI remains as economically important as ever and its emerging role in making generative AI reliable further expands its importance, according to Forbes contributor Eric Siegel. Siegel argues that generative AI…
A developer released decider, an open-source language model family that returns calibrated probability distributions over typed, fixed-option questions from a single forward pass instead of generating text, with no decod…
A developer released SIMURG v1.0.4, "Catch The Heals," a streaming integrity monitor that detects LLM decoding failures such as repetition loops and structural garbage within roughly 600 characters of corruption onset an…
A tutorial published on embedding drift detection outlines three techniques for monitoring production large language model pipelines: model-based detection via a binary domain classifier, centroid distance using cosine s…
Developer Priyanshu-5257 released SplitMoE, an open-source Mixture of Experts routing architecture that splits wide feed-forward layers into smaller, fine-grained expert partitions, published on GitHub at github.com/Priy…
TypeSafe AI, a San Francisco lab founded by former OpenAI researcher Diogo Almeida, emerged from stealth on September 15, 2026 with Jev, a "System One model" that returns typed, probability-scored decisions instead of ge…
Forbes Councils member Rohan Pinto argues that 1-bit AI models, exemplified by BitNet, promise a future where massive intelligence runs on-device rather than depending on GPUs. The Forbes Innovation piece frames BitNet a…
Former OpenAI employee Diogo Almeida announced Jev on September 15, a probabilistic classifier built by his startup TypeSafe AI that returns calibrated decisions in 70–500 ms at $0.042 per million input tokens rather tha…
TypeSafe launched Jev, which it calls "the first System One model," claiming it is 193x faster and 444x cheaper than large language models and cannot hallucinate. Jev is a classification model in the BERT family rather t…
AI researcher Gary Marcus published an open letter to Elon Musk challenging Musk's prediction that artificial general intelligence will arrive by 2029, arguing that current deep learning techniques struggle with edge cas…
Quilter reported that a single engineer used its physics-driven AI platform to design a functioning two-board computer system in under a week with 38.5 hours of human input, versus a traditional estimate of 428 hours, ac…