Artificial intelligence (AI) is often cast as wreaking havoc and destroying jobs in reports about its growing use by companies. The recent coverage of telecom group BT’s plans to reduce its number of employees is a case in point.Artificial intelligence (AI) is often cast as wreaking havoc and destroying jobs in reports about its growing use by companies. The recent coverage of telecom group BT’s plans to reduce its number of employees is a case in point.Business[#item_full_content]
Bio-inspired robots, robotic systems that emulate the appearance, movements, and/or functions of specific biological systems, could help to tackle real-world problems more efficiently and reliably. Over the past two decades, roboticists have introduced a growing number of these robots, some of which draw inspiration from fruit flies, worms, and other small organisms.Bio-inspired robots, robotic systems that emulate the appearance, movements, and/or functions of specific biological systems, could help to tackle real-world problems more efficiently and reliably. Over the past two decades, roboticists have introduced a growing number of these robots, some of which draw inspiration from fruit flies, worms, and other small organisms.[#item_full_content]
As artificial intelligence programs continue to develop and access is easier than ever, it’s making it harder to separate fact from fiction. Just this week, an AI-generated image of an explosion near the Pentagon made headlines online and even slightly impacted the stock market until it was quickly deemed a hoax.As artificial intelligence programs continue to develop and access is easier than ever, it’s making it harder to separate fact from fiction. Just this week, an AI-generated image of an explosion near the Pentagon made headlines online and even slightly impacted the stock market until it was quickly deemed a hoax.Machine learning & AI[#item_full_content]
Current computer systems are very good at performing exact calculations. But as we are using more and more AI-based applications, we also need more efficient systems that are able to process data in real time with the same precision. TU/e researcher Eveline van Doremaele is working on a new generation of computers modeled after the human brain. What’s more, she used organic materials for the unique chip she developed with neuromorphic computing, which means it is able to interact with our bodies.Current computer systems are very good at performing exact calculations. But as we are using more and more AI-based applications, we also need more efficient systems that are able to process data in real time with the same precision. TU/e researcher Eveline van Doremaele is working on a new generation of computers modeled after the human brain. What’s more, she used organic materials for the unique chip she developed with neuromorphic computing, which means it is able to interact with our bodies.Hardware[#item_full_content]
BT recently announced that it would be reducing its staff by 55,000, with around 11,000 of these related to the use of artificial intelligence (AI). The remainder of the cuts were due to business efficiencies, such as replacing copper cables with more reliable fiber optic alternatives.BT recently announced that it would be reducing its staff by 55,000, with around 11,000 of these related to the use of artificial intelligence (AI). The remainder of the cuts were due to business efficiencies, such as replacing copper cables with more reliable fiber optic alternatives.Consumer & Gadgets[#item_full_content]
In theory, quantum computers vastly outperform classical computers in terms of computing speed. For them to do so in practice, it is necessary to design more and novel high-speed algorithms, says ETH supercomputing specialist Torsten Hoefler.In theory, quantum computers vastly outperform classical computers in terms of computing speed. For them to do so in practice, it is necessary to design more and novel high-speed algorithms, says ETH supercomputing specialist Torsten Hoefler.[#item_full_content]
Neural radiance fields (NeRFs) are advanced machine learning techniques that can generate three-dimensional (3D) representations of objects or environments from two-dimensional (2D) images. As these techniques can model complex real-world environments realistically and in detail, they could greatly support robotics research.Neural radiance fields (NeRFs) are advanced machine learning techniques that can generate three-dimensional (3D) representations of objects or environments from two-dimensional (2D) images. As these techniques can model complex real-world environments realistically and in detail, they could greatly support robotics research.[#item_full_content]
AI algorithms are everywhere. They underpin nearly all autonomous and robotic systems deployed in security applications. This includes facial recognition, biometrics, drones and autonomous vehicles used in combat surveillance and military targeting applications.AI algorithms are everywhere. They underpin nearly all autonomous and robotic systems deployed in security applications. This includes facial recognition, biometrics, drones and autonomous vehicles used in combat surveillance and military targeting applications.Security[#item_full_content]
The boss of OpenAI, the firm behind the massively popular ChatGPT bot, said Friday his company had no plans to leave the European Union—a day after he hinted at a possible exit.The boss of OpenAI, the firm behind the massively popular ChatGPT bot, said Friday his company had no plans to leave the European Union—a day after he hinted at a possible exit.Machine learning & AI[#item_full_content]
Surface electromyography (EMG) has been widely used to measure the electrical activity of muscles. However, the variability in EMG sensing signals due to biological differences of different users significantly degrades the performance and potential of EMG systems.Surface electromyography (EMG) has been widely used to measure the electrical activity of muscles. However, the variability in EMG sensing signals due to biological differences of different users significantly degrades the performance and potential of EMG systems.[#item_full_content]
