Machine Learning
43 reportsCoverage places learning objective, while also considering data requirements and optimization procedure within the wider context of Machine Learning. Before drawing conclusions about learning objective, readers can compare ablation studies with replication on different datasets; the conclusion remains provisional because headline accuracy can hide distribution shifts, bias, or unstable behavior.
China's AI chip makers take on Nvidia's dominance in model training
Nvidia's lead in AI model training is under pressure as Chinese companies like Huawei, Cambricon, Moore Threads, and Biren Technology push to develop homegrown chips and software, aiming to reduce dependence on foreign hardware.
IBM Ventures Backs BQP for Quantum Physics Simulation Acceleration
BQP has secured an $8 million investment led by IBM Ventures to expand its quantum-accelerated physics simulation platform. The company aims to bridge the gap between classical high-performance computing and hybrid quantum-classical workflows for engineering applications.
AI reconstructs black hole jet motion from decades of radio data
A new AI-driven analysis of 27 years of radio telescope data has produced the sharpest reconstruction yet of a black hole jet, revealing unexpected details about plasma motion in the blazar 3C 345
Unitree G1 Robot Demonstrates Autonomous Sparring Using UnifoLM-X2-1.0
Unitree Robotics has released footage of its G1 humanoid robot sparring with a human using the UnifoLM-X2-1.0 AI model, highlighting advances in predictive perception and autonomous motion planning for dynamic physical tasks
3D-Printed Soft Robotic Hand Shows Delicate Grip and Strength in Lab Tests
A research team at KAIST has built a 3D-printed soft robotic hand that can cradle fragile objects and lift heavy ones, using AI to optimize the material's stretchability and durability for advanced manipulation tasks
Quadruped Robot Demonstrates Dynamic Leaping Through Tight Spaces
A research team has built a hierarchical reinforcement learning system that enables a four-legged robot to leap through narrow gates at speed, coordinating vision and movement in real-world tests inspired by animal agility
Humanoid Robots Complete 100 Rallies in Live Tennis Match in Beijing
Galbot's humanoid robots demonstrated autonomous tennis play against human athletes at the Second World Humanoid Robot Games, completing over 100 consecutive rallies and highlighting advances in real-world robot perception and control
Why More Data Alone No Longer Advances Generative AI Systems
Recent advances in generative AI have relied on scaling up models, datasets, and computing resources. However, evidence now suggests that simply increasing data volume is no longer enough to improve performance, especially for complex tasks like software development
Diraq Expands US Silicon Spin-Qubit Engineering With Santa Monica Hub
Diraq has opened a new engineering facility in Santa Monica, California, focused on silicon spin-qubit processor development using commercial CMOS foundry processes, as part of its trans-Pacific quantum computing infrastructure
AI Decoder Surpasses PyMatching on Google Quantum Surface-Code Data
Quantum X Labs has reported that its AI-based quantum error correction decoder achieved higher decoding accuracy than standard matching algorithms on Google's public surface-code dataset, using only synthetic training and GPU acceleration
GEN-1.5 Robot Model Imitates Physical Tasks After One Short Demo
Generalist AI has introduced GEN-1.5, a foundation model for robots that attempts new physical tasks after observing a single brief demonstration, with no fine-tuning or retraining required
AI Models Now Optimize Quantum Algorithms for Real Hardware
Recent advances show AI systems are now directly optimizing quantum algorithms for cryptography and hardware compatibility, with measurable improvements in circuit efficiency and potential impact on quantum workforce development
Quantum Software Integrated Into Luxembourg Business School Curriculum
Superpositions and the European Business Institute of Luxembourg have launched a partnership to embed quantum computing and hybrid algorithm workflows into business education, giving students direct access to quantum software platforms and real hardware backends
Feagine's Fi0 Model Tested for Cross-Body Robot Task Transfer
Feagine Robotics has introduced Fi0, a foundation model designed to transfer task knowledge across different soft robot arms, aiming to reduce retraining when hardware changes. Early tests used three tendon-driven manipulators with varying morphologies
Humanoid Robots Learn Agile Moves from Human Motion Data with ZEST
A new control framework called ZEST enables humanoid and quadruped robots to perform complex, agile movements by learning from human motion capture, video, and animation data, reducing the need for task-specific engineering
AI-Generated Quantum Circuits Tested on 98-Qubit Trapped-Ion Hardware
A collaboration between Quantinuum, NVIDIA, and Pfizer has demonstrated an AI-driven framework for generating quantum circuits, executing them on a 98-qubit trapped-ion processor to model pharmaceutical molecules
NASA AI Model Predicts Sunspot Emergence Hours Before Surface Appearance
A NASA-led team has developed an AI model that analyzes acoustic and magnetic data from the Sun to forecast the emergence of active regions up to 12 hours in advance, offering new potential for space weather prediction
D-Wave Receives NRC Grant to Develop Quantum Annealing Software
D-Wave Quantum Inc. has secured up to CAD $300,000 from Canada's National Research Council to engineer new graph-embedding algorithms and open-source tools for its quantum annealing hardware, targeting more complex commercial optimization tasks
Dyna Robotics Tests DYNA-2 Robot Model Trained on Human Video
Dyna Robotics has introduced DYNA-2, a robot foundation model trained on over one million hours of human egocentric video, aiming to improve robot learning for physical tasks without relying on robot action data
AI Systems Tested for Real-Time Neutrino Detection at DUNE
Researchers at the Deep Underground Neutrino Experiment are developing machine learning tools to process vast detector data, identify rare neutrino events, and monitor system health, aiming to improve the speed and reliability of particle physics research
Quantum Hardware Tested for Grid Security Under AFRL Contract
Eaton, Infleqtion, and Penn State will develop and test hybrid quantum-classical algorithms on specialized quantum hardware to analyze and respond to complex threats facing electrical grids under a $7 million U.S. Air Force Research Laboratory contract
Xanadu Expands US Quantum Operations Amid Hardware and Algorithm Gains
Xanadu Quantum Technologies reported advances in photonic quantum hardware, algorithmic development, and US expansion, while disclosing a strengthened cash position and increased investment in fabrication and engineering
Mitsubishi to Build 1,000 Humanoid Robots Monthly at Kyoto Plant
Mitsubishi Motors and Highlanders plan to mass-produce AI-enabled humanoid robots for industrial automation at a repurposed Kyoto facility, targeting up to 1,000 units per month by early 2027, with initial deployment on engine assembly lines
Australia-Japan Quantum Partnership Grants Direct Access to Fujitsu Systems
Fujitsu, Monash University, and CSIRO have launched a partnership to accelerate quantum application research, providing Australian researchers and students with direct access to Fujitsu's quantum systems and simulators in Japan
D-Wave and Nasdaq Verafin Test Quantum-Hybrid Models for Financial Crime
D-Wave Quantum Inc. and Nasdaq Verafin have launched a proof-of-concept to assess quantum-hybrid algorithms for detecting complex financial crime patterns, using quantum annealing hardware to analyze multi-entity banking data
UC Berkeley and QuantrolOx Target Automated Quantum Hardware Control
UC Berkeley and QuantrolOx have agreed to a five-year collaboration to develop automated, reproducible control and calibration workflows for superconducting quantum processors using machine learning and open-access testbeds
EY Installs On-Site Quantum Computer to Meet Data Sovereignty Needs
Ernst & Young (EY) has deployed an on-premises quantum computer in Canada, aiming to process sensitive enterprise workloads while addressing regulatory and data sovereignty requirements for sectors including finance and healthcare
Quantum Neural Networks Tested for Cancer Neoantigen Prediction
A team at Cleveland Clinic and IBM Research has implemented a quantum convolutional neural network on real quantum hardware to classify immunogenic cancer peptides, comparing its performance to classical machine learning models
FLUX-mimic Model Cuts Robot Training Time for Factory Tasks
Mimic Robotics and Black Forest Labs have introduced FLUX-mimic, a video-action model that enables industrial robots to learn complex manipulation tasks from video demonstrations using far less training data than previous approaches
NVIDIA Donates DGX GB300 Supercomputer to Naval Postgraduate School
NVIDIA has provided its DGX GB300 AI supercomputer to the Naval Postgraduate School in California, aiming to support advanced research and education for military leaders in high-performance computing and artificial intelligence
Curiosity-Driven AI Robots Show Faster Language Learning in Simulation
Researchers at the Okinawa Institute of Science and Technology have built virtual robots that learn language tasks more efficiently by rewarding curiosity, revealing new patterns of play-like behavior and adaptability in controlled experiments
IBM Quantum Hardware Benchmarked for Smart Grid Energy Forecasting
Researchers tested hybrid quantum-classical machine learning algorithms on IBM Quantum hardware with over 100 qubits to forecast electricity demand across smart grids, comparing performance and noise sensitivity to classical methods
Humanoid Robot Learns to Walk on Real Terrain With Less Training
Georgia Tech researchers have introduced a machine-learning framework that enables a humanoid robot to walk across unpredictable real-world surfaces, reducing both training time and computational demands compared to previous methods
BrainCo Demonstrates Brain-Controlled Robot Platform Using EEG Signals
BrainCo has introduced a non-invasive brain-computer interface platform that enables users to control robots with EEG-detected brain signals, aiming to improve intent recognition and generate training data for embodied AI systems
Medical AI Models Face Higher Patient Privacy Risks Than Expected
A new peer-reviewed study finds that diagnostic medical AI models can leak sensitive patient information at rates far above previous estimates, raising concerns about privacy, data security, and the need for robust technical safeguards in clinical machine learning.
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