A laboratory in Pittsburgh’s Bakery Square is poised to make the next breakthrough in wheelchairs, a mostly stagnant industry ...
But we’ll have to wait until next year to find out more. But we’ll have to wait until next year to find out more. is a news editor with over a decade’s experience in journalism. He previously worked ...
Hyundai Motor India appoints Tarun Garg as its new CEO, marking a historic first for an Indian national. Garg will assume leadership in January 2026. The company also unveiled a significant $5 billion ...
Tata Motors Demerger: Markets are inherently forward-looking, and this is clearly reflected in investor sentiment, which is now shifting focus to the upcoming listing of Tata Motors’ commercial ...
Representative Wide-Field acquisition of PV interneurons calcium signals before the ischemic lesion, 2 days post-stroke (acute damage) and 42 days post-stroke after 5 weeks of combined rehabilitation ...
A new development in affordable, open-source mobile networks that enables near-real-time control of robotic arms could help doctors work on patients in remote locations in the years to come. Subscribe ...
Hyundai Motor India announced on Wednesday the appointment of Tarun Garg as its new chief executive officer, establishing a historic milestone as the first Indian to lead the company's operations in ...
ET May Look Nothing Like Life on Earth. Scientists Want a Universal Theory of Life to Describe It. Sign up to receive top stories about groundbreaking technologies and visionary thinkers from ...
Neuralink has claimed to have achieved a new milestone in brain-computer interface technology, with an amyotrophic lateral sclerosis (ALS) patient successfully controlling a robotic arm using only his ...
IWATA, October 14, 2025 - Yamaha Motor Co., Ltd. (Tokyo: 7272) announced the official August 2025 establishment of TY ROBOTICS Co., Ltd. (hereinafter, "TY"), a new joint venture company for industrial ...
Abstract: To endow robotic arms with enhanced autonomous obstacle avoidance and path planning capabilities in complex dynamic environments, deep reinforcement learning (DRL) methods have been widely ...