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BIOTRONIK Neuro, a division of global medical device company BIOTRONIK, has acquired a portfolio of intellectual property related to spinal cord stimulation from Soin Neuroscience, the Dayton, Ohio company founded by pai…
A developer built a reproducible sales-forecasting workflow for a B2B SaaS company that combines CRM extraction, stage calibration, machine-learning win probabilities, and Power BI dashboards. The system uses determinist…
Jharu v0.2.0, a free open-source disk cleaner and storage analyzer for macOS and Windows, targets gigabytes of junk left by development tools and machine learning frameworks. The tool identifies and safely removes ML mod…
Apple's M2 Ultra chip delivers only 31.6 TOPS in machine learning performance, compared to Nvidia's RTX 4090 at 1,321 TOPS, a gap the company is addressing with a $30 billion Broadcom partnership and a $2 billion acquisi…
Researchers at Lowell Observatory used machine learning to analyze over 28,000 meteor events, developing a new classification system called Hclass that reveals subtle physical differences among meteoroids. The AI-driven …
A new essay argues that the AI industry must develop concrete, positive visions for artificial intelligence grounded in human wellbeing, rather than falling into polarized debates of optimism or pessimism. The authors, w…
Apple Machine Learning Research published a paper proposing that machine unlearning skip training points with negligible influence on model outputs, reporting computational savings of up to approximately 50 percent on re…
The terms 'neat' and 'scruffy' describe two contrasting approaches to AI research, originating in the 1970s with Roger Schank. Neats use a single formal paradigm like logic or neural networks and verify via rigorous math…
Bayesian optimization is a technique used to tune hyperparameters in machine learning algorithms by optimizing black-box functions. The article explains the process using a gold mining analogy, where the goal is to find …
NVIDIA's open-source RAPIDS AI framework accelerates machine learning workflows by enabling GPU-based data processing, offering cuDF, a pandas-like library that performs operations on large datasets 100x-1000x faster tha…
For software development engineer (SDE) roles, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is recommended over An Introduction to Statistical Learning (ISLP) because it focuses on practical impleme…
Researchers at GSI/FAIR and international collaborators developed RHINE, a machine learning model using deep neural networks to simulate r-process nucleosynthesis in extreme astrophysical events like neutron star mergers…
Researchers Shuo Cheng, Chuye Zhang, Alfred Cueva, Caelan Garrett, Ajay Mandlekar, and Danfei Xu published "Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning" at CoRL 2026 on Monday, November…
Maths educator Grant Sanderson of 3Blue1Brown has launched a series framing intelligence as compression, arguing that distilling fundamental structure from the real world and relating it usefully to other things is what …
Researchers from Duke University and NVIDIA introduced FedBPT, a method for efficient federated black-box prompt tuning of large language models, presented at ICML 2024. The approach enables collaborative fine-tuning wit…
A student, Enoch Yu, created two open-source repositories—notebook-linear-algebra and LibreNotebook—to help other students learn the math and practical skills needed for machine learning and AI. The linear algebra reposi…
A new guide outlines the best online communities for learning AI, highlighting Hugging Face, Reddit's r/MachineLearning and r/LocalLLaMA, PromptCube, Discord servers for Midjourney, OpenAI, and Anthropic, Stack Overflow,…
Researchers introduced HydroGym, a solver-independent reinforcement learning platform providing more than 60 validated flow control environments for fluid dynamics, spanning Reynolds numbers up to Re = 4 × 10^5 and Mach …
Torc Robotics, a Daimler subsidiary, is hiring a Staff Machine Learning Engineer for its Scene Generation team, offering a salary of $250k–300k per year for a remote position based in Ann Arbor, Michigan. The role involv…
Liftoff reported Q2 revenue of $220 million, up 35% year-over-year, and adjusted EBITDA of $132 million, up 55%, in its first earnings call as a public company. CEO Jeremy Bondy attributed the performance to its Cortex m…