The integration of electronic chips in commercial devices has significantly evolved over the past decades, with engineers devising various integration strategies and solutions. Initially, computers contained a central processor or central processing unit (CPU), connected to memory units and other components via traditional communication pathways, known as front-side-bus (FSB) interfaces.The integration of electronic chips in commercial devices has significantly evolved over the past decades, with engineers devising various integration strategies and solutions. Initially, computers contained a central processor or central processing unit (CPU), connected to memory units and other components via traditional communication pathways, known as front-side-bus (FSB) interfaces.[#item_full_content]

With the race to build a new generation of computers heating up, European companies are eyeing the game-changing opportunities.With the race to build a new generation of computers heating up, European companies are eyeing the game-changing opportunities.[#item_full_content]

Image classification is a complex task that deep learning architectures perform successfully. Those deep architectures are usually comprised of many layers, with each layer consisting of many filters.Image classification is a complex task that deep learning architectures perform successfully. Those deep architectures are usually comprised of many layers, with each layer consisting of many filters.[#item_full_content]

While most computing in the world is still digital, the data around us is captured in analog via sensors–images through cameras, temperature, and sound, for example, and has to be converted into a digital form for precision. But imagine an autonomous vehicle that needs to capture what’s on the road and then make decisions instantaneously: this data needs to be converted very quickly with low energy and high precision.While most computing in the world is still digital, the data around us is captured in analog via sensors–images through cameras, temperature, and sound, for example, and has to be converted into a digital form for precision. But imagine an autonomous vehicle that needs to capture what’s on the road and then make decisions instantaneously: this data needs to be converted very quickly with low energy and high precision.[#item_full_content]

Over the next decade, quantum computers are expected to have a transformative impact on numerous industry sectors, as they surpass the computational capabilities of classical computers. In finance, for example, quantum computing will one day be used to speed banking, make financial predictions and analyze financial patterns and risks.Over the next decade, quantum computers are expected to have a transformative impact on numerous industry sectors, as they surpass the computational capabilities of classical computers. In finance, for example, quantum computing will one day be used to speed banking, make financial predictions and analyze financial patterns and risks.[#item_full_content]

The growing popularity of video games is putting an increased focus on their accessibility for people with disabilities. While large productions are increasingly taking this into account by adding accessibility features, this aspect is usually completely absent in indie productions due to a lack of resources.The growing popularity of video games is putting an increased focus on their accessibility for people with disabilities. While large productions are increasingly taking this into account by adding accessibility features, this aspect is usually completely absent in indie productions due to a lack of resources.[#item_full_content]

New research from U.S. Naval Research Laboratory (NRL) researchers delivers a novel contribution to fiber optics computing. Titled “Fiber optic computing using distributed feedback,” the paper published in Communications Physics journal brings the Navy one step closer to faster, more efficient computing technologies.New research from U.S. Naval Research Laboratory (NRL) researchers delivers a novel contribution to fiber optics computing. Titled “Fiber optic computing using distributed feedback,” the paper published in Communications Physics journal brings the Navy one step closer to faster, more efficient computing technologies.[#item_full_content]

In many cities worldwide, the notion of walking as sustainable urban mobility is becoming increasingly popular. Improving the walkability of cities has many benefits, including improved health, reduced traffic, and consequently lower air pollution. To improve walkability, it is important to conduct a thorough analysis of what factors make cities more walkable.In many cities worldwide, the notion of walking as sustainable urban mobility is becoming increasingly popular. Improving the walkability of cities has many benefits, including improved health, reduced traffic, and consequently lower air pollution. To improve walkability, it is important to conduct a thorough analysis of what factors make cities more walkable.[#item_full_content]

The intensity image is consistent with human vision, but sometimes, the target cannot be completely distinguished from the background. Polarization images can distinguish the target more effectively and highlight the contour and texture details, although it does not conform to human visual perception.The intensity image is consistent with human vision, but sometimes, the target cannot be completely distinguished from the background. Polarization images can distinguish the target more effectively and highlight the contour and texture details, although it does not conform to human visual perception.[#item_full_content]

A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.[#item_full_content]