Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
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…
On July 2nd, Arduino and Qualcomm Technologies, Inc. hosted a hands-on workshop at Silverstone for 40 students aged 16 to 19, supported by Mission 44, where participants built AI-powered racing telemetry systems in 90 mi…
Ramp and Prime Intellect published a case study showing a small RL-trained model, FastAsk, outperformed Claude Opus 4.6 by 4 percentage points on exact-match accuracy for financial spreadsheet retrieval while running at …
Tyler Mestery, a machine learning intern on Cisco's CTO team, spent his first two weeks visiting Cisco offices from Milpitas to San Francisco, turning his internship into an immersive crash course in the company's cultur…
A developer achieved bit-reproducibility between CPU and GPU calculations for transcendental functions in Fortran by wrapping the bitrep C++ library and adding OpenACC/OpenMP directives, with a performance penalty of app…
Flash Attention is an algorithm that speeds up training and inference of transformer models by using smart memory management on GPUs. The original version was released in 2022, followed by Flash Attention 2 in early 2023…
Researchers from Nace AI and Purdue University have introduced HyperNetwork-based knowledge injection as a third path for integrating proprietary data into LLMs, backed by the first systematic scaling laws. The approach …
Agricultural manipulation data is fragmented into small, crop-specific projects with no standardized format, unlike robotics datasets such as DROID or Open X-Embodiment. The LeRobotDataset v3 can store synchronized video…
A dependency-free C/SIMD int8 runtime for FastEnhancer-Medium at 48 kHz achieves a 0.069 real-time factor on a single Apple M2 core and 0.096 on a Galaxy S23+, with no inference framework, no heap allocation after startu…
Indeed Hiring Lab data shows .NET developer job postings have fallen more than 60% from a February 2020 baseline of 100, while machine learning engineer postings rose to 159. The analysis reveals a two-tier market where …