Researchers from Princeton and Rutgers University have used reinforcement learning, a method frequently deployed to train artificial intelligence, to show how flexible responses can substantially increase the cost-effectiveness of steps to defend cities like New York against climate change.
Researchers from Princeton and Rutgers University have used reinforcement learning, a method frequently deployed to train artificial intelligence, to show how flexible responses can substantially increase the cost-effectiveness of steps to defend cities like New York against climate change.
Unveiling the Future of Embedded AI: Object Anomaly Detection and More at Embedded World 2025
Unsupervised learning is a machine learning approach that finds patterns, structure, or useful representations in unlabeled data. It groups similar observations, compresses high-dimensional features, detects outliers, discovers item relationships, and supports modern representation learning.
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Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
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Researchers from Princeton and Rutgers University have used reinforcement learning, a method frequently deployed to train artificial intelligence, to show how flexible responses can substantially increase the cost-effectiveness of steps to defend cities like New York against climate change.
6 minutes read
Unveiling the Future of Embedded AI: Object Anomaly Detection and More at Embedded World 2025
Camera-equipped robotic systems serve as key expansion components within this industry because they improve efficiency and accuracy across multiple fields, including manufacturing, healthcare, logistics, and autonomous vehicle development.
With Xsens motion capture technology
3 minutes read
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
Researchers at the Technical University of Munich (TUM) have developed a wheeled robot that makes its way through a crowd of people safely and without hesitation. A computer on board predicts the movement of people in the vicinity and how they are likely to react to the robot.
3 minutes read
Researchers began to explore metasurfaces — materials whose geometry gives them special properties. Instead of bending light inside a piece of glass or plastic, like a conventional lens, a metasurface diffracts light around tiny objects, like light spreading out as it passes through a slit.
5 minutes read
A team of scientists has developed a method to illuminate the dynamic behavior of nanoparticles, which are foundational components in the creation of pharmaceuticals, electronics, and industrial and energy-conversion materials.
2 minutes read
AI and ML-driven cashierless stores not only improve operational efficiency and customer personalization but are also expected to propel the global AI retail market to over $40 billion by 2030.
AI is transforming security through real-time threat detection and intelligent surveillance, with Axelera AI advancing this shift using its Metis AI Processing Unit (AIPU) to enhance proactive, adaptive, and sustainable security solutions.
To advance modern medicine, EPFL researchers are developing AI-based diagnostic tools. Their goal is to predict the best treatment a patient should receive.
6 minutes read
Columbia AI Summit keynote speaker Sami Haddadin discusses AI that interacts with the physical world—and what it could mean for human potential.
4 minutes read
New research uses AI to improve training of sensorimotor skills in human subjects, with potential applications ranging from performing surgery to perfecting tennis serves.
2 minutes read
Shadow Robot’s partnership with Google DeepMind exemplifies how collaboration drives innovation in robotics and AI. This article explores how their expertise in dexterous robotic hands, particularly the DEX-EE, is advancing machine learning research.
