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AI model security requires protecting machine learning models from vulnerabilities including prompt injection, model extraction, and supply chain risks, with early decisions and frameworks like NIST's AI RMF being critic…
Researchers have developed quantum Wasserstein generative adversarial networks (GANs) that generate full-resolution MNIST images without dimensionality reduction or patchwork models, achieving state-of-the-art results wi…
AT&T built an end-to-end incident management system (EEIM) that reduced customer downtime by more than 12 million hours. The system, developed starting in 2017 using technologies from MongoDB and Snowflake, combines trad…
The Sakuranesia Foundation brought researchers from the University of Indonesia and Gadjah Mada University to the Weathernews Weather & Climate Forecast Conference 2026 in Tokyo on June 17, 2026. The Indonesian delegatio…
AMD's upcoming MI400-series MI455X accelerator, codenamed GFX1250 and targeting machine learning, will operate exclusively in Wave32 mode and support WMMA instructions, according to LLVM commits analyzed by Chips and Che…
UBS's machine-learning 'Turbu-lens' market fragility index hit an all-time high of 0.8 in early June 2026, signaling conditions for a potentially severe market correction. The bank's framework, which measures structural …
A developer warns that the 'Train & Forget' approach to machine learning is causing models to fail in production. Common killers include data drift, concept drift, training-serving skew, and monitoring blind spots. The p…
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry, offering tools from inspiration to implementation. The platform features a large library of re…
A new machine learning tool called Ruby identifies unsafe regions in Rust binaries with 91.75% accuracy and a 6.16% false positive rate, outperforming current models like GPT-5.2 and Claude-4.5. Developed by researchers,…
SYNRARE, a synthetic data tool built on the Synthea framework, enables machine learning developers to test and benchmark rare disease diagnosis algorithms without compromising patient privacy. By generating synthetic Ele…
A developer discusses strategies for maintaining p99 latency during autoscaling cold starts, proposing predictive load management using machine learning to pre-warm services. The approach can reduce idle capacity costs b…
A software developer and machine learning engineer completed a Bachelor's Degree in Computer Science from the University of London via Coursera after 3 years and 9 months of part-time study while working full-time. The d…
LogicTronix and Sundance have developed a real-time event-based vision application on the Sundance VCS3 MPSoC platform, integrating a Prophesee IMX636 event sensor and a Vitis AI machine learning model. The compact syste…
Riviera Partners, an Insight Partners-backed executive search firm, acquired Lateral Labs, an AI startup recruiter founded by former OpenAI recruiter Rob Infantino, to expand its AI and machine learning talent search cap…
Hugging Face released ML-Intern, an open-source agent that automates the machine learning research loop from literature review to training runs, on June 18. The tool has been used over 12,000 times since its beta launch,…
Kawasaki Robotics will debut its RL030N eight-degree-of-freedom physical AI platform at Automate 2026 in Chicago, showcasing how robotics, AI, and machine learning are transforming industrial automation. The company also…
A new smart device called AntiMould Shower Sentinel uses machine learning on an Arduino Q to detect shower sounds and check if an extractor fan is running, sending real-time alerts via Home Assistant on a Raspberry Pi 5 …
Google launched the Google Colab CLI, a command-line tool enabling developers and AI agents to interact with remote Colab runtimes from a local terminal. The tool allows users to provision cloud-based GPUs and TPUs, exec…
The University of Cambridge and its spin-out DIOSynVax (DVX) Ltd have completed the first-in-human Phase 1 trial of pEVAC-PS, an AI-designed "universal" Sarbeco coronavirus vaccine. The open-label, dose-escalation study …
Researchers at the University of Southern California have developed a multiscale probabilistic modeling framework that uses Bayesian inference to integrate machine-learning predictions of binding affinity into mechanisti…