Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Security leaders are spending billions on AI-driven cybersecurity tools, but most performance issues stem from fragmented data pipelines and schema drift rather than flawed detection models. Gartner projects that through…
Sony's PlayStation Publishing released an update for Ratchet & Clank: Rift Apart on PC, upgrading AMD FSR to version 3.1.4 and adding compatibility with ML-based FSR Frame Generation on supported hardware. The patch also…
Marvel's Spider-Man Remastered, Spider-Man 2, and Miles Morales received updates on July 8 adding AMD FSR 3.1.4 with ML-based frame generation support for Radeon RX 9000 series GPUs, along with DualSense Edge controller …
Sony updated Marvel's Spider-Man Remastered, Miles Morales, and Spider-Man 2 on July 8 to add AMD FSR 3.1.4 with ML-based frame generation support for Radeon RX 9000 series GPUs, alongside DualSense Edge controller impro…
Datalab released Lift, a 9B vision model for schema-first document extraction that directly outputs structured JSON from PDFs and images, claiming 90.2% field accuracy. The tool competes with NuExtract3, LlamaExtract, an…
Researchers propose that group theory, particularly concepts of symmetry, representation spaces, and invariance, provides a useful framework for understanding how Transformer architectures learn and organize information.…
A developer explains quantization techniques for large language models, including GPTQ, AWQ, GGUF, and bitsandbytes, which can reduce model size by up to 75% while preserving most accuracy. The post details how each meth…
Google Research published a study showing that modifying its Maps routing algorithm to reroute a small share of trips away from congested segments improved median driving speeds by about 2% and reduced fuel consumption. …
Smart fintech founders are shifting focus from consumer-facing apps to building financial infrastructure, including AI-powered tools for CFOs, stablecoin-based payment systems, embedded finance APIs, small business finan…
A new paper presented at ICML introduces Latent Collaboration in Multi-Agent Systems (LatentMAS), enabling AI agents to share latent states directly instead of text, boosting performance at the cost of interpretability. …
Aniruddha Adak, an AI agent engineer from Kolkata, India, builds autonomous AI systems and full-stack applications. His projects include SkillSphere, a productivity platform, and MercatoLive, an e-commerce concept. Adak …
Researchers introduced a Siamese Neural Network framework to identify phase transitions in 3D percolation models using only 22 labeled probability points from non-critical regions. The method located percolation threshol…
Researchers evaluated the relevance of several RAG metrics by comparing scores from four libraries (Ragas, DeepEval, RAGChecker, Opik) against human evaluators and standard metrics using a question-answering dataset. The…
Researchers at an undisclosed institution found that multi-teacher on-policy distillation for agentic language models can cause over-calling of tools, where models call tools on examples that should be answered directly.…
Researchers propose R^3, a framework for rectifying textual violations in video advertisements while preserving original semantic intent. The system uses a group-relative compliance experience extractor and curriculum re…
Researchers developed SAMPA, a Whisper-based segmenter that transcribes Brazilian Portuguese speech while inserting markers for terminal prosodic boundaries. Fine-tuned on the NURC-SP dataset, SAMPA achieved competitive …
Researchers introduced MIRA-Math, a benchmark for evaluating mathematical reasoning where models must request a missing atomic fact under a strict budget before solving a problem. The benchmark contains 2,310 instances a…
Researchers introduced Physics-Audited Agentic Scientific Machine Learning (PA-SciML), a verification-first workflow that ensures surrogate models discovered by LLM agents satisfy physics constraints such as boundary con…
Researchers propose D2PO, a framework that optimizes diffusion sampling policies by reformulating sampler optimization as a preference-based alignment problem using Direct Preference Optimization (DPO). D2PO introduces d…
Researchers propose STAGformer, a Spatio-Temporal Agent Graph Transformer for micro mobility demand forecasting in bike-sharing systems. The model achieves efficient global modeling with linear computational complexity b…