The year 2024 has marked a significant milestone in the evolution of AI-powered robotics, with transformative impacts across multiple industries. The integration of AI has enhanced efficiency, precision, and productivity, leading to innovative solutions to complex challenges.
Discover how mini GPUs and local AI are revolutionizing robotics with faster, more private, and autonomous systems. AI processing and modular
CES 2025, the annual consumer tech conference held in Las Vegas, is upon us — and this is where you can find all of our live updates. Over the next few days, TechCrunch reporters will be on the ground giving you the latest announcements and product reveals from Samsung,
Jensen Huang is the CEO of Nvidia ( NVDA 3.70%), a company whose chips power the vast majority of artificial intelligence (AI) systems. At a technology conference last year, Huang made a bold declaration: "The next wave of AI is here. Robotics, powered by physical AI, will revolutionize industries."
The GPU king also unveiled agentic AI software tools, robotics training frameworks, and a dedicated AI workstation.
As AI systems become more complex and ubiquitous, powering them efficiently will be one of the defining challenges of our time.
AI and Robotics in Aerospace and Defense Industry size is expected to register 7.7% CAGR between 2025 and 2034 propelled by advancements in ai enhancing autonomy in aerospace systems.Selbyville, Delaware ,
Global X Robotics & Artificial Intelligence is diversified across capital goods, hardware, and healthcare, reducing valuation premiums. Learn more on BOTZ ETF here.
Watch AI in the seas: marine monitoring turtle robot on Interesting Engineering. Explore the latest in technology!
Hyundai Motor Group on Friday announced that the company has formed a strategic alliance with Nvidia for the development of advanced artificial intelligence (AI) technologies, which are related to future mobility.
Hyundai Motor Group collaborates with NVIDIA to develop advanced AI technologies for future mobility. Their efforts include AI applications in robotics, autonomous driving, and smart factories. The partnership will use NVIDIA's computing and AI software to manage data and improve manufacturing efficiencies.