When AI-powered prosthetic arms that move autonomously become widespread, understanding how people feel about them and accept them will be crucial. In a study appearing in Scientific Reports, ...
Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...
Autonomous robots are moving beyond scripted motions and narrow task automation into a new era of adaptable, ...
Advances in ADAS, from sensor fusion to AI integration to 4D radar, are being driven by cutting-edge SoCs facilitating the ...
Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...
Autonomous laboratories and AI-driven experimentation are increasingly transforming how scientific discovery is conducted in chemistry, materials science, ...
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Below are five AI-driven trends set to define telecom strategies in 2026. They collectively signal a shift from manual ...
In November 2012, the Department of Defense (DOD) released its policy on autonomy in weapons systems: DOD Directive 3000.09 (DODD 3000.09). Despite being nearly 10 years old, the policy remains ...