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The Pentagon awarded AeroVironment an $80.5 million task order for its Titan-MS AI-powered counter-drone system to protect nuclear bases, following unauthorized drone incursions at Barksdale Air Force Base. The system us…
A developer built 'Epoch Duel', a cyberpunk card battler inspired by Gwent, to visualize LLM alignment and parameter optimization. The game maps machine learning concepts like model pruning, DPO vs RLHF, and catastrophic…
AI has transformed software engineering hiring, with companies like Dropbox and Cisco now requiring AI skills and allowing candidates to use AI during interviews. Recent graduate Le'ale Addison noted that employers now a…
Cao Liangliang, former principal engineer and director at Google DeepMind, has returned to Hong Kong after two decades to join the Hong Kong Polytechnic University, bringing Silicon Valley expertise in AI and machine lea…
Researchers introduced EquiFiLM, a lightweight extension that adds continuous external conditioning to equivariant foundation machine learning force fields via per-layer Feature-wise Linear Modulation. Applied to charged…
A new arXiv paper demonstrates that standard importance weighting fails to correct for selection bias in machine learning when selection depends on unobservables correlated with outcomes. The authors adapt Heckman's 1979…
Woori Bank and other financial institutions are adopting AI-driven transformation, but without tight governance, machine learning models risk automating social exclusion by embedding historical biases. A comparison of Ko…
Reliance Industries' subsidiary Strand Life Sciences secured an Indian patent on July 7, 2026, for an AI-enabled blood test that detects early-stage cancer using cell-free DNA analysis. The platform combines genome seque…
IQM Quantum Computers acquired selected assets from Quantistry GmbH on July 6, 2026, including cloud-native chemical simulation software, algorithm libraries, and core technical staff. The deal aims to integrate supercon…
Researchers at Aalto University used machine learning to accelerate the discovery of two new kagome superconductors, YRu3B2 and LuRu3B2, with critical temperatures of 0.81 K and 0.95 K. The study, published in Physical R…
Synthetic Sciences launched OpenScience, an open-source AI workbench that automates the full scientific research loop—literature review, hypothesis formation, code writing, experiment execution, and write-up—using custom…
AI-related hiring in India's IT sector rose 16% year-on-year in June 2026 while overall IT job postings fell 3%, according to Naukri's JobSpeak report. Across 14 industries, AI and machine-learning roles grew 25%, with i…
Google's MediaPipe Tasks and AICore are revolutionizing on-device machine learning for Android developers by abstracting low-level tensor manipulation into declarative pipeline orchestration. MediaPipe Tasks treat AI mod…
China's quantitative fund industry ended 2025 managing 3.22 trillion yuan ($474 billion), rebounding from a 2024 low after regulators cracked down on high-frequency trading. Over 60% of quant funds now use AI or machine …
An international team of researchers has demonstrated a new method to discover superconductors faster by combining machine learning with advanced quantum physics. The approach enables scientists to efficiently sift throu…
Intel engineers posted initial GCC compiler patches for the AI Compute Extensions (ACE), a cross-vendor x86 specification for optimizing AI and machine learning workloads. The ACE specification, developed by the x86 Ecos…
A developer describes how combining shift-left testing with machine learning can predict where bugs will appear before code is merged. By analyzing historical defect data and commit-level features such as code churn, own…
Scientists used artificial intelligence to read an entire ancient scroll from Herculaneum that was charred by the eruption of Mount Vesuvius in AD 79, without physically opening it. The team employed high-resolution X-ra…
Jens, a cross-platform mobile engineer and Tech Lead at November Five, shares his background in mobile development since 2014 and his early interest in machine learning from his Master's thesis. He now integrates AI into…
A new framework called 'belief webs' is proposed to unify beliefs, goals, and actions in intelligent agents, drawing from active inference, agent foundations, and machine learning. The framework addresses internal incons…