Jialiang Wang
Jialiang Wang, a researcher in Artificial Intelligence and Machine Learning, Computer Vision, and Generative AI, has published his work on Google Scholar, with his profile accessible at https://scholar.google.com/citatio…
Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Jialiang Wang, a researcher in Artificial Intelligence and Machine Learning, Computer Vision, and Generative AI, has published his work on Google Scholar, with his profile accessible at https://scholar.google.com/citatio…
The U.S. Department of Energy selected four Texas A&M University research teams for its Genesis Mission to develop AI systems for critical mineral research, particle accelerator operations, and nuclear reactor safety. Tw…
JAX, a numerical computing library, is fundamentally a tracing machine that converts pure Python functions into a typed intermediate representation called a jaxpr, refusing to execute code with control flow that cannot b…
Rijul, developer of git-lrc, argues that AI agents are not magic but well-designed feedback loops. He introduces 'Loop Engineering' as a methodology for building reliable agent workflows by focusing on actions, feedback,…
The Complete Machine Learning Bundle, featuring over 10 courses on topics including self-driving cars and speech recognition, is on sale for $30 through the Techdirt Deals Store, powered by StackCommerce.
Epilude released Model 4.1, a refined on-device cleanup model for Local Mode on Mac, that reduces critical errors from 4 to 3 and passes 79 of 90 internal benchmark scenarios, up from 78. The model is a fine-tune of an o…
Databricks announced general availability of high-QPS scaling for Databricks AI Search, enabling standard endpoints to scale to thousands of queries per second with a single `target_qps` parameter. The feature, which wor…
Warner Bros. Discovery is launching a vertical video feed called 'HBO Max Shorts' on HBO Max, powered by an in-house AI tool that uses machine learning to suggest compelling scenes from thousands of hours of content, whi…
SpaceX's valuation does not reflect an AI premium despite the company's advanced use of machine learning for predictive maintenance, Starlink routing, and autonomous navigation, according to a technical analysis. Investo…
An AI & Data Science graduate is documenting their journey of learning AI beyond college, building real-world projects, and applying for internships, emphasizing that confidence comes from starting rather than waiting to…
Liquid AI released LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, general-purpose bidirectional encoders that match or beat larger models on GLUE, SuperGLUE, and multilingual tasks while running about 3.7× faster than Mode…
Researchers from New York University have released Dream-Cubed, a large-scale dataset of Minecraft worlds comprising tens of billions of cubes, and trained a family of transformers to generate fully playable, interactive…
A developer building a RAG pipeline discovered that chunk size decisions carry hidden costs that compound at scale. Smaller chunks led to excessive embedding calls and CPU usage during ingestion, while larger chunks incr…
Allora Network announced on July 28, 2026 that it is extending its AI Strategy Vaults to the infrastructure of R25, a platform for institutional-grade execution in derivatives markets. The integration leverages Allora's …
PolyBridge, a causal model for forecasting global events, combines prediction markets with other data sources in a probabilistic graphical model, indexing over 170k event contracts. The model handles current-state querie…
A new study from a BlueDot Project cohort introduces value dynamics, a framework for measuring, forecasting, and steering how AI values change in self-training loops. Using tools from population genetics, researchers fin…
Calibra, an open-source toolkit for robot dataset observability, has been released to help audit datasets, identify quality issues, and estimate training outcomes before training. The first public release includes a Robo…
A research implementation called PBTune applies Population-Based Training (PBT), an evolutionary algorithm from DeepMind, to automatically tune PostgreSQL database configurations without machine learning. The system main…
A developer achieved up to 9.27× speedup on code editing tasks using adaptive speculative decoding on a €300 RTX 5060 GPU, with a 0.6B draft model nearly doubling math and JSON throughput. The project's ngram-simple meth…
Artificial intelligence startup HeyDonto AI Technology has launched DFT Labs, a research subsidiary focused on developing a physics-based framework for machine learning. The launch follows the publication of the peer-rev…