Large Language Models (LLMs) such as ChatGPT and Bard have taken the world by storm this year, with companies investing millions to develop these AI tools, and some leading AI chatbots being valued in the billions.Large Language Models (LLMs) such as ChatGPT and Bard have taken the world by storm this year, with companies investing millions to develop these AI tools, and some leading AI chatbots being valued in the billions.Security[#item_full_content]

Service robots have started to appear in various daily tasks such as parcel delivery, as guide dogs for the visually impaired, as public servants at airports, or as seen in Joensuu: in the inspection of construction works. Robots are able to move in different ways: on legs, on wheels or by flying. They know the shortest or easiest route to the destination. A guide dog can search for bus schedules or even order a taxi when needed.Service robots have started to appear in various daily tasks such as parcel delivery, as guide dogs for the visually impaired, as public servants at airports, or as seen in Joensuu: in the inspection of construction works. Robots are able to move in different ways: on legs, on wheels or by flying. They know the shortest or easiest route to the destination. A guide dog can search for bus schedules or even order a taxi when needed.Robotics[#item_full_content]

Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated a new approach to peer deeper into the complex behavior of materials. The team harnessed the power of machine learning to interpret coherent excitations, collective swinging of atomic spins within a system.Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated a new approach to peer deeper into the complex behavior of materials. The team harnessed the power of machine learning to interpret coherent excitations, collective swinging of atomic spins within a system.Machine learning & AI[#item_full_content]

Forget the cloud. Northwestern University engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data and perform artificial intelligence (AI) tasks in real time without beaming data to the cloud for analysis.Forget the cloud. Northwestern University engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data and perform artificial intelligence (AI) tasks in real time without beaming data to the cloud for analysis.Electronics & Semiconductors[#item_full_content]

Recent developments in neuroscience and brain-inspired artificial intelligence have opened up new possibilities in understanding intelligence. Now, a research team led by Tianzi Jiang at the Institute of Automation of the Chinese Academy of Sciences has outlined the key components and properties of an innovative platform called the Digital Twin Brain, which could bridge the gap between biological and artificial intelligence and provide new insights into both.Recent developments in neuroscience and brain-inspired artificial intelligence have opened up new possibilities in understanding intelligence. Now, a research team led by Tianzi Jiang at the Institute of Automation of the Chinese Academy of Sciences has outlined the key components and properties of an innovative platform called the Digital Twin Brain, which could bridge the gap between biological and artificial intelligence and provide new insights into both.Machine learning & AI[#item_full_content]

When is an apple not an apple? If you’re a computer, the answer is when it’s been cut in half.When is an apple not an apple? If you’re a computer, the answer is when it’s been cut in half.Computer Sciences[#item_full_content]

For three global organizations, the discourse around AI has shifted from negative concerns about privacy and the mass collection of data to more positive debates about how it can be used as a tool and a facilitator of change, says a Malmö University academic in a recently published article in AI & SOCIETY.For three global organizations, the discourse around AI has shifted from negative concerns about privacy and the mass collection of data to more positive debates about how it can be used as a tool and a facilitator of change, says a Malmö University academic in a recently published article in AI & SOCIETY.Business[#item_full_content]

It is now apparent that the mass-produced artifacts of technology in our increasingly densely populated world—whether electronic devices, cars, batteries, phones, household appliances, or industrial robots—are increasingly at odds with the sustainable bounded ecosystems achieved by living organisms based on cells over millions of years.It is now apparent that the mass-produced artifacts of technology in our increasingly densely populated world—whether electronic devices, cars, batteries, phones, household appliances, or industrial robots—are increasingly at odds with the sustainable bounded ecosystems achieved by living organisms based on cells over millions of years.Electronics & Semiconductors[#item_full_content]

Cornell researchers have developed a new optimization tool to estimate motion throughout an input video, which has potential applications in video editing and generative AI video creation.Cornell researchers have developed a new optimization tool to estimate motion throughout an input video, which has potential applications in video editing and generative AI video creation.Computer Sciences[#item_full_content]

Edge detection is the process of outlining objects in a scene by identifying areas where changes in color or intensity signal boundaries between objects. It is vital in computer vision applications like object recognition, image segmentation, and feature extraction. Traditionally, its accuracy depends on image quality.Edge detection is the process of outlining objects in a scene by identifying areas where changes in color or intensity signal boundaries between objects. It is vital in computer vision applications like object recognition, image segmentation, and feature extraction. Traditionally, its accuracy depends on image quality.Computer Sciences[#item_full_content]