A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles such as glass walls, providing an alternative to high-performance sensors. This technology can be used in existing robots, negating the need for additional equipment while ensuring detection performance that is equal to that offered by expensive conventional equipment.A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles such as glass walls, providing an alternative to high-performance sensors. This technology can be used in existing robots, negating the need for additional equipment while ensuring detection performance that is equal to that offered by expensive conventional equipment.[#item_full_content]
As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap between promise and practice, Jann Spiess, an associate professor of operations, information, and technology at Stanford Graduate School of Business, is exploring how algorithms can be designed to most effectively support—rather than replace—human decision-makers.As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap between promise and practice, Jann Spiess, an associate professor of operations, information, and technology at Stanford Graduate School of Business, is exploring how algorithms can be designed to most effectively support—rather than replace—human decision-makers.Computer Sciences[#item_full_content]
As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap between promise and practice, Jann Spiess, an associate professor of operations, information, and technology at Stanford Graduate School of Business, is exploring how algorithms can be designed to most effectively support—rather than replace—human decision-makers.As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap between promise and practice, Jann Spiess, an associate professor of operations, information, and technology at Stanford Graduate School of Business, is exploring how algorithms can be designed to most effectively support—rather than replace—human decision-makers.[#item_full_content]
Your last opportunity to vote on the TechCrunch Disrupt 2025 agenda lineup
We’re thrilled by the overwhelming response to our call for speakers at TechCrunch Disrupt 2025, taking place October 27–29 at Moscone West in San Francisco. After a careful selection process, we’ve narrowed it down to 20 impressive finalists—10 breakout sessions and 10 roundtables. Now it’s your turn to help shape the agenda. Audience Choice voting […]We’re thrilled by the overwhelming response to our call for speakers at TechCrunch Disrupt 2025, taking place October 27–29 at Moscone West in San Francisco. After a careful selection process, we’ve narrowed it down to 20 impressive finalists—10 breakout sessions and 10 roundtables. Now it’s your turn to help shape the agenda. Audience Choice voting[#item_full_content]
TechCrunch Sessions: AI Trivia Countdown — Ready to test your AI knowledge?
As we count down the final days to TechCrunch Sessions: AI on June 5 at UC Berkeley’s Zellerbach Hall, we’re offering one last chance to score a special deal. We’ve launched the TC Sessions: AI Trivia Countdown — your shot to show off your AI knowledge and win big. Just answer a few short AI-specific […]As we count down the final days to TechCrunch Sessions: AI on June 5 at UC Berkeley’s Zellerbach Hall, we’re offering one last chance to score a special deal. We’ve launched the TC Sessions: AI Trivia Countdown — your shot to show off your AI knowledge and win big. Just answer a few short AI-specific[#item_full_content]
Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like training robots or playing complex games, rewards are few and far between, making it easy for AI to waste time on dead ends.Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like training robots or playing complex games, rewards are few and far between, making it easy for AI to waste time on dead ends.Computer Sciences[#item_full_content]
Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like training robots or playing complex games, rewards are few and far between, making it easy for AI to waste time on dead ends.Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like training robots or playing complex games, rewards are few and far between, making it easy for AI to waste time on dead ends.[#item_full_content]
A team of roboticists and AI specialists at the Robotics & Artificial Intelligence Lab in Korea has designed, built and successfully tested a four-legged robot that is capable of conducting high-speed parkour maneuvers. In their paper published in the journal Science Robotics, the group describes how they gave their robot a controller capable of both planning and tracking its own movements to allow it to freely traverse a range of environments.A team of roboticists and AI specialists at the Robotics & Artificial Intelligence Lab in Korea has designed, built and successfully tested a four-legged robot that is capable of conducting high-speed parkour maneuvers. In their paper published in the journal Science Robotics, the group describes how they gave their robot a controller capable of both planning and tracking its own movements to allow it to freely traverse a range of environments.[#item_full_content]
A team of roboticists and AI specialists at the Robotics & Artificial Intelligence Lab in Korea has designed, built and successfully tested a four-legged robot that is capable of conducting high-speed parkour maneuvers. In their paper published in the journal Science Robotics, the group describes how they gave their robot a controller capable of both planning and tracking its own movements to allow it to freely traverse a range of environments.A team of roboticists and AI specialists at the Robotics & Artificial Intelligence Lab in Korea has designed, built and successfully tested a four-legged robot that is capable of conducting high-speed parkour maneuvers. In their paper published in the journal Science Robotics, the group describes how they gave their robot a controller capable of both planning and tracking its own movements to allow it to freely traverse a range of environments.Robotics[#item_full_content]
Grocery platform Misfits Market acquires The Rounds to further its mission of reducing food waste
Misfits Market, the online platform that delivers imperfect groceries to help minimize waste, announced the acquisition of household restocking service The Rounds on Friday. As a result of the deal, Misfits Market plans to take on over 250 items from The Rounds’ inventory. This allows the company to diversify into additional categories, such as household […]Misfits Market, the online platform that delivers imperfect groceries to help minimize waste, announced the acquisition of household restocking service The Rounds on Friday. As a result of the deal, Misfits Market plans to take on over 250 items from The Rounds’ inventory. This allows the company to diversify into additional categories, such as household[#item_full_content]
