Recently, there has been a flurry of publicity about the planned upgrades to OpenAI’s ChatGPT AI-powered chatbot and Meta’s Llama system, which powers the company’s chatbots across Facebook and Instagram.Recently, there has been a flurry of publicity about the planned upgrades to OpenAI’s ChatGPT AI-powered chatbot and Meta’s Llama system, which powers the company’s chatbots across Facebook and Instagram.Consumer & Gadgets[#item_full_content]
A team of researchers from the Universitat Oberta de Catalunya (UOC) has designed and tested a new system for detecting asbestos that has not yet been removed from the roofs of buildings, despite regulatory requirements.A team of researchers from the Universitat Oberta de Catalunya (UOC) has designed and tested a new system for detecting asbestos that has not yet been removed from the roofs of buildings, despite regulatory requirements.Engineering[#item_full_content]
The rate of businesses in the U.S. using AI is still relatively small but growing rapidly, with firms in information technology, and in locations like Colorado and the District of Columbia, leading the way, according to a new paper from U.S. Census Bureau researchers.The rate of businesses in the U.S. using AI is still relatively small but growing rapidly, with firms in information technology, and in locations like Colorado and the District of Columbia, leading the way, according to a new paper from U.S. Census Bureau researchers.Business[#item_full_content]
To avoid catastrophic climate impacts, excessive carbon emissions must be addressed. At this point, cutting emissions isn’t enough. Direct air capture, a technology that pulls carbon dioxide out of ambient air, has great potential to help solve the problem.To avoid catastrophic climate impacts, excessive carbon emissions must be addressed. At this point, cutting emissions isn’t enough. Direct air capture, a technology that pulls carbon dioxide out of ambient air, has great potential to help solve the problem.Energy & Green Tech[#item_full_content]
It didn’t take long for Harshraj Ghai to respond to the impact of California’s new $20 an hour minimum wage for his 3,700 fast-food employees.It didn’t take long for Harshraj Ghai to respond to the impact of California’s new $20 an hour minimum wage for his 3,700 fast-food employees.Business[#item_full_content]
Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly improve the practicality—and safety—of robots for a range of applications, including self-driving cars, delivery drones, household assistants and automation.Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly improve the practicality—and safety—of robots for a range of applications, including self-driving cars, delivery drones, household assistants and automation.Robotics[#item_full_content]
Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly improve the practicality—and safety—of robots for a range of applications, including self-driving cars, delivery drones, household assistants and automation.Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly improve the practicality—and safety—of robots for a range of applications, including self-driving cars, delivery drones, household assistants and automation.[#item_full_content]
Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions—essentially, high-level representations of complex concepts that skip less-important details—and thus sputter when asked to do more sophisticated tasks.Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions—essentially, high-level representations of complex concepts that skip less-important details—and thus sputter when asked to do more sophisticated tasks.Robotics[#item_full_content]
Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions—essentially, high-level representations of complex concepts that skip less-important details—and thus sputter when asked to do more sophisticated tasks.Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions—essentially, high-level representations of complex concepts that skip less-important details—and thus sputter when asked to do more sophisticated tasks.[#item_full_content]
A new publication in Opto-Electronic Advances discusses efficient stochastic parallel gradient descent training for on-chip optical processors.A new publication in Opto-Electronic Advances discusses efficient stochastic parallel gradient descent training for on-chip optical processors.[#item_full_content]
