An artificial intelligence (AI) technology has been developed to enable camera-based autonomous vehicles to perceive their surroundings more accurately. This innovative approach utilizes the geometric concept of the vanishing point—an artistic device that conveys depth and perspective in images.An artificial intelligence (AI) technology has been developed to enable camera-based autonomous vehicles to perceive their surroundings more accurately. This innovative approach utilizes the geometric concept of the vanishing point—an artistic device that conveys depth and perspective in images.Automotive[#item_full_content]

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This process is currently bottlenecked by traditional digital processors. The physical limits of conventional electronics prevent the reduction in latency and the gains in throughput required in emerging data-intensive services.Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This process is currently bottlenecked by traditional digital processors. The physical limits of conventional electronics prevent the reduction in latency and the gains in throughput required in emerging data-intensive services.Hardware[#item_full_content]

As far back as 1980, the American philosopher John Searle distinguished between strong and weak AI. Weak AIs are merely useful machines or programs that help us solve problems, whereas strong AIs would have genuine intelligence. A strong AI would be conscious.As far back as 1980, the American philosopher John Searle distinguished between strong and weak AI. Weak AIs are merely useful machines or programs that help us solve problems, whereas strong AIs would have genuine intelligence. A strong AI would be conscious.Machine learning & AI[#item_full_content]

AI is driving the stock market to record highs, dominating countless debates about the value of human labor, and radically rewiring the way schools approach education. It’s also causing a stir in the art world, with media artist Refik Anadol poised to open Dataland, the world’s first museum of AI arts, inside the Frank Gehry-designed Grand L.A. complex in downtown Los Angeles next spring.AI is driving the stock market to record highs, dominating countless debates about the value of human labor, and radically rewiring the way schools approach education. It’s also causing a stir in the art world, with media artist Refik Anadol poised to open Dataland, the world’s first museum of AI arts, inside the Frank Gehry-designed Grand L.A. complex in downtown Los Angeles next spring.Business[#item_full_content]

Contracts written by employers and landlords often result in second parties—employees and tenants—facing unfair terms because these documents contain unreasonable or ambiguous clauses, leaving the second parties vulnerable to unjust expenses or constraints.Contracts written by employers and landlords often result in second parties—employees and tenants—facing unfair terms because these documents contain unreasonable or ambiguous clauses, leaving the second parties vulnerable to unjust expenses or constraints.Business[#item_full_content]

Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently store increasing amounts of data. However, the different types of devices developed to date come with their own trade-offs, which pose limits on their overall performance and restrict their possible applications.Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently store increasing amounts of data. However, the different types of devices developed to date come with their own trade-offs, which pose limits on their overall performance and restrict their possible applications.Hardware[#item_full_content]

Generative AI has revolutionized how we make and consume images. Tools such as Midjourney, DALL-E and Sora can now conjure anything, from realistic photos to oil-like paintings—all from a short text prompt.Generative AI has revolutionized how we make and consume images. Tools such as Midjourney, DALL-E and Sora can now conjure anything, from realistic photos to oil-like paintings—all from a short text prompt.Machine learning & AI[#item_full_content]

Buying and selling online with e-commerce is old news. We’re entering the age of A-commerce, where artificial intelligence (AI) is increasingly able to shop for us.Buying and selling online with e-commerce is old news. We’re entering the age of A-commerce, where artificial intelligence (AI) is increasingly able to shop for us.Business[#item_full_content]

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience—millions of trial-and-error interactions—to achieve even modest competence.Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience—millions of trial-and-error interactions—to achieve even modest competence.Hi Tech & Innovation[#item_full_content]

Understanding how humans and AI or robotic agents can work together effectively requires a shared foundation for experimentation. A University of Michigan-led team developed a new taxonomy to serve as a common language among researchers, then used it to evaluate current testbeds used to study how human-agent teams will perform.Understanding how humans and AI or robotic agents can work together effectively requires a shared foundation for experimentation. A University of Michigan-led team developed a new taxonomy to serve as a common language among researchers, then used it to evaluate current testbeds used to study how human-agent teams will perform.Robotics[#item_full_content]