Researchers at ETH Zurich have developed artificial muscles that contain microbubbles and can be controlled with ultrasound. In the future, these muscles could be deployed in technical and medical settings as gripper arms, tissue patches, targeted drug delivery, or robots.Researchers at ETH Zurich have developed artificial muscles that contain microbubbles and can be controlled with ultrasound. In the future, these muscles could be deployed in technical and medical settings as gripper arms, tissue patches, targeted drug delivery, or robots.[#item_full_content]
Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo extremely expensive training?Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo extremely expensive training?Hardware[#item_full_content]
San Francisco mayor: ‘We should be the testbed for emerging tech’
While San Francisco’s mayor Daniel Lurie is opening his arms to autonomous vehicles, other cities are more resistant. Boston, for instance, has considered a ban on autonomous vehicles in the city.While San Francisco’s mayor Daniel Lurie is opening his arms to autonomous vehicles, other cities are more resistant. Boston, for instance, has considered a ban on autonomous vehicles in the city.[#item_full_content]
Startups should rethink how they pursue sales and traction, according to VC Tim Chen
After a small startup exit and being turned down by every VC firm he applied to, Tim Chen began angel investing and eventually stumbled into raising his own fund. Now, as the solo investor behind Essence VC, he just closed his fourth fund at $41 million “without even trying.” Chen’s secret weapon? Being technical enough […]After a small startup exit and being turned down by every VC firm he applied to, Tim Chen began angel investing and eventually stumbled into raising his own fund. Now, as the solo investor behind Essence VC, he just closed his fourth fund at $41 million “without even trying.” Chen’s secret weapon? Being technical enough[#item_full_content]
Scientists at TU Delft, the Netherlands, have developed a new algorithm that allows multiple autonomous drones to work together to control and transport heavy payloads, even in windy conditions. Drones are ideal for reaching and maintaining hard-to-reach infrastructure, like offshore wind turbines. With often harsh weather, limited payload capacity and unpredictable contact with the environment, it is difficult for current drones to operate safely and effectively.Scientists at TU Delft, the Netherlands, have developed a new algorithm that allows multiple autonomous drones to work together to control and transport heavy payloads, even in windy conditions. Drones are ideal for reaching and maintaining hard-to-reach infrastructure, like offshore wind turbines. With often harsh weather, limited payload capacity and unpredictable contact with the environment, it is difficult for current drones to operate safely and effectively.[#item_full_content]
As anyone who uses the internet will know, the way we find information has fundamentally changed. For the last three decades, search engines have delivered ranked lists of links in response to our queries, and it was our job to search through them to find what we wanted. Now, major search engines use generative AI tools to deliver a single coherent answer, often embedded with a few links. But how does this approach compare with the traditional method? In a comprehensive new study, scientists compared these two approaches to see what we are gaining and losing.As anyone who uses the internet will know, the way we find information has fundamentally changed. For the last three decades, search engines have delivered ranked lists of links in response to our queries, and it was our job to search through them to find what we wanted. Now, major search engines use generative AI tools to deliver a single coherent answer, often embedded with a few links. But how does this approach compare with the traditional method? In a comprehensive new study, scientists compared these two approaches to see what we are gaining and losing.Internet[#item_full_content]
Startup Character.AI announced Wednesday it would eliminate chat capabilities for users under 18, a policy shift that follows the suicide of a 14-year-old who had become emotionally attached to one of its AI chatbots.Startup Character.AI announced Wednesday it would eliminate chat capabilities for users under 18, a policy shift that follows the suicide of a 14-year-old who had become emotionally attached to one of its AI chatbots.Consumer & Gadgets[#item_full_content]
How AI labs use Mercor to get the data companies won’t share
Mercor CEO Brendan Foody has built a $10 billion empire freeing up valuable data from legacy industries, and making it available to AI labs.Mercor CEO Brendan Foody has built a $10 billion empire freeing up valuable data from legacy industries, and making it available to AI labs.[#item_full_content]
Generative artificial intelligence, which produces original content by drawing on large existing datasets, has been hailed as a revolutionary tool for lawyers. From drafting contracts to summarizing case law, generative AI tools such as ChatGPT and Lexis+ AI promise speed and efficiency.Generative artificial intelligence, which produces original content by drawing on large existing datasets, has been hailed as a revolutionary tool for lawyers. From drafting contracts to summarizing case law, generative AI tools such as ChatGPT and Lexis+ AI promise speed and efficiency.Consumer & Gadgets[#item_full_content]
Technological anxiety is at least as old as the industrial revolution, so the rapid development of generative artificial intelligence (genAI) products has spurred research and analysis on the impact this technology will have on labor markets. In chapters in a new book, researchers examine how the structure of tasks can facilitate or impede the adoption of genAI, how workers of different types choose to use genAI, and where workers are likely to look for jobs if they are displaced from their work due to genAI. GenAI will likely widen the “cone of automation” by substituting for labor in more complex work or in work that occurs less frequently, the authors conclude.Technological anxiety is at least as old as the industrial revolution, so the rapid development of generative artificial intelligence (genAI) products has spurred research and analysis on the impact this technology will have on labor markets. In chapters in a new book, researchers examine how the structure of tasks can facilitate or impede the adoption of genAI, how workers of different types choose to use genAI, and where workers are likely to look for jobs if they are displaced from their work due to genAI. GenAI will likely widen the “cone of automation” by substituting for labor in more complex work or in work that occurs less frequently, the authors conclude.Machine learning & AI[#item_full_content]
