Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to allow computers to learn without explicitly being programmed. While discussions surrounding AI algorithms, such as ChatGPT and other generative models, are taking place at all levels of society, the machine learning capabilities of quantum computers are still somewhat unexplored.Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to allow computers to learn without explicitly being programmed. While discussions surrounding AI algorithms, such as ChatGPT and other generative models, are taking place at all levels of society, the machine learning capabilities of quantum computers are still somewhat unexplored.[#item_full_content]

If a robot traveling to a destination has just two possible paths, it needs only to compare the routes’ travel time and probability of success. But if the robot is traversing a complex environment with many possible paths, choosing the best route amid so much uncertainty can quickly become an intractable problem.If a robot traveling to a destination has just two possible paths, it needs only to compare the routes’ travel time and probability of success. But if the robot is traversing a complex environment with many possible paths, choosing the best route amid so much uncertainty can quickly become an intractable problem.[#item_full_content]

Computers work in digits—0s and 1s, to be exact. Their calculations are digital; their processes are digital; even their memories are digital. All of which require extraordinary power resources. As we look to the next evolution of computing and developing neuromorphic or “brain-like” computing, those power requirements are unfeasible.Computers work in digits—0s and 1s, to be exact. Their calculations are digital; their processes are digital; even their memories are digital. All of which require extraordinary power resources. As we look to the next evolution of computing and developing neuromorphic or “brain-like” computing, those power requirements are unfeasible.[#item_full_content]

Room-scale virtual reality (VR) is one where users explore a VR environment by physically walking through it. The technology provides many benefits, given its highly immersive experience. Yet the drawback is that it requires large physical spaces. It can also lack haptic feedback when touching objects.Room-scale virtual reality (VR) is one where users explore a VR environment by physically walking through it. The technology provides many benefits, given its highly immersive experience. Yet the drawback is that it requires large physical spaces. It can also lack haptic feedback when touching objects.[#item_full_content]

In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid progress been possible?In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid progress been possible?[#item_full_content]

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]