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There’s a race underway to build artificial general intelligence, a futuristic vision of machines that are as broadly smart as humans or at least can do many things as well as people can.
The next Drag Race Ru-volution doesn’t involve Ru at all.
The fact that colossal amounts of energy are needed to Google away, talk to Siri, ask ChatGPT to get something done, or use AI in any sense, has gradually become common knowledge.
Cornell researchers have developed a wristband device that continuously detects hand positioning—as well as objects the hand interacts with—using AI-powered, inaudible soundwaves.
Apple researchers develop AI system that understands screen references and context, enabling more natural voice assistant interactions.Read More
To settle a years-long lawsuit, Google has agreed to delete “billions of data records” collected from users of “Incognito mode,” illuminating the pitfalls of relying on Chrome to protect your privacy.
Five ways generative AI can help with the cybersecurity skills shortage — from lowering the bar to entry to improving collaboration.Read More
Voice Engine is a new text-to-speech AI model for creating synthetic voices. OpenAI has said a wide release would be too risky.
Vehicles that can drive themselves have been a long sought after goal both of robotics research and the automotive industry. While various companies have been investing in these vehicles and testing them, they have so far only deployed them in a limited number of settings.
A research team led by Prof. Kwon Hyuk-jun of the DGIST Department of Electrical Engineering and Computer Science has developed a next-generation AI semiconductor technology that mimics the human brain’s efficiency in AI and neuromorphic systems.