Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Cardiff University's NLP group and other open-source developers offer free sentiment analysis models for social media posts, including cardiffnlp/twitter-roberta-base-sentiment-latest, finiteautomata/bertweet-base-sentim…
Binary cross entropy is a loss function used in binary classification problems, where the goal is to minimize the difference between predicted probabilities and actual class labels. The article explains why it is preferr…
In a comparison of DeepSeek V4 Pro 0813 and GPT-5.6 Sol on the DeepSWE benchmark, a cascade strategy using DeepSeek first and escalating to GPT-5.6 Sol solves 83.0% of tasks at $3.35 each, while GPT-5.6 Sol alone solves …
XGBoost, an open-source library implementing gradient-boosted decision trees with a C++ core and CPU/CUDA/HIP backends, is examined in a technical deep dive covering its mathematical foundations and source code structure…
Google introduced Search Generative AI performance reports in Search Console on 3 June 2026, but the queries behind AI Mode and AI Overviews are not exposed via the API or BigQuery export, as verified by the author on 11…
Hugging Face's Sentence Transformers library v6.0 adds a fourth model type, MultiVectorEncoder, enabling ColBERT-style late interaction retrieval. The update allows loading PyLate, Stanford-NLP ColBERT, and colpali-engin…
Researchers from Inria and Meta introduced MVICAD2, a multi-view independent component analysis method that accounts for both temporal delays and dilations in brain signals across subjects, addressing limitations of prio…
AMD's ROCm blog published a walkthrough for running verl's asynchronous reinforcement learning examples on AMD Instinct MI355X GPUs, covering GRPO on Qwen2.5-VL-7B-Instruct with the Geometry3k dataset and DAPO on Qwen2.5…
Empero-ai released Qwen3.8-27B-Ridge-3.7bpw.gguf, a quantized version of the 27-billion-parameter Qwen3.8-27B hybrid reasoning and vision model that shrinks from roughly 50GB to 11.7GB, enabling it to run on a 16GB VRAM …
Hierarchical Navigable Small Worlds (HNSW), the core data structure behind Elasticsearch, Weaviate, Milvus, QDrant, and Vespa, handles vector updates via delete-then-insertion, but most databases mark deleted vectors as …
Ben Houston published a reference guide explaining neural-network fundamentals for graphics developers, covering MLPs, weights, biases, ReLU, forward pass, loss, gradient descent, backpropagation, Adam, latent vectors, f…
A research paper, “GPU Offload in Rust: Portable, Safe, and Fast” (arXiv:2608.13759), introduces GPU programming support directly into rustc, allowing developers to write GPU kernels in safe Rust without CUDA or vendor l…
Databricks announced that its Feature Store now serves machine learning features with sub-second freshness, achieving an end-to-end p99 latency of 200ms from event arrival in Kafka to availability in the online feature s…
Researchers at the University of Southampton developed an AI platform called CenSegNet that analyzes microscopic patterns in breast cancer tumors, uncovering two distinct centrosome abnormalities that were previously con…
Google Research announced on August 17th that its deep learning method PhotoScan, which estimates body composition from smartphone images, can help classify insulin resistance nearly as well as a dual-energy X-ray absorp…
An engineer highlights three major trends in AI: reasoning models that use test-time compute to verify logic and reduce hallucinations, agentic workflows that integrate models with APIs and tools for end-to-end tasks, an…
Vice President JD Vance told the Bitcoin 2025 conference in Las Vegas on May 28 that the US government should lean into Bitcoin as a strategic asset against China, building on President Trump's March 6 executive order es…
Stripe, LLC. is hiring a Machine Learning Engineer in South San Francisco, CA, with a salary range of $212,000–$318,000 per year, to design and deploy ML models for underwriting and portfolio management for Stripe Capita…
Developer Akshay Muchaklavya built Forge, a custom deep learning framework written from scratch in C++, and used it to implement GPT-2 that matches Hugging Face's transformers token-for-token under greedy decoding. The f…
PyTorch developers can eliminate GPU idle time caused by CPU bottlenecks by using multi-process data loading with `num_workers` set to the number of CPU cores, `pin_memory=True`, and binary formats like TFRecord, Apache …