Large language models have transformed natural language processing through their ability to generate and interpret humanlike text. Most modern language models rely on transformer architectures, whose self-attention mechanisms provide powerful capabilities for learning relationships within long sequences. However, training and running these models can require substantial computational resources and energy, creating challenges for their wider use in embedded systems, edge devices and other environments where computing resources are limited.Large language models have transformed natural language processing through their ability to generate and interpret humanlike text. Most modern language models rely on transformer architectures, whose self-attention mechanisms provide powerful capabilities for learning relationships within long sequences. However, training and running these models can require substantial computational resources and energy, creating challenges for their wider use in embedded systems, edge devices and other environments where computing resources are limited.Hardware[#item_full_content]
Researchers at the University of Tartu Institute of Computer Science are working with the Estonian technology company GScan to develop AI-based methods that use measurement data collected with the help of cosmic particles to locate objects more accurately. The technology is useful for assessing the condition of bridges and other large structures and identifying potential damage.Researchers at the University of Tartu Institute of Computer Science are working with the Estonian technology company GScan to develop AI-based methods that use measurement data collected with the help of cosmic particles to locate objects more accurately. The technology is useful for assessing the condition of bridges and other large structures and identifying potential damage.Computer Sciences[#item_full_content]
Researchers at the University of Tartu Institute of Computer Science are working with the Estonian technology company GScan to develop AI-based methods that use measurement data collected with the help of cosmic particles to locate objects more accurately. The technology is useful for assessing the condition of bridges and other large structures and identifying potential damage.Researchers at the University of Tartu Institute of Computer Science are working with the Estonian technology company GScan to develop AI-based methods that use measurement data collected with the help of cosmic particles to locate objects more accurately. The technology is useful for assessing the condition of bridges and other large structures and identifying potential damage.[#item_full_content]
Electricity Isn’t the Only Thing Getting More Expensive Because of AI
The post Electricity Isn’t the Only Thing Getting More Expensive Because of AI appeared first on Energy Innovation.
The post Electricity Isn’t the Only Thing Getting More Expensive Because of AI appeared first on Energy Innovation.[#item_full_content]
Operating a drone manually requires pilots to watch a screen while coordinating controls. This divides attention between the aircraft and its surroundings. Researchers are exploring ways to make drone operation more intuitive and less dependent on continuous visual monitoring. A wearable interface developed at Jeonbuk National University combines hand gestures for sending commands with abdominal vibrations that indicate the drone’s position relative to the user.Operating a drone manually requires pilots to watch a screen while coordinating controls. This divides attention between the aircraft and its surroundings. Researchers are exploring ways to make drone operation more intuitive and less dependent on continuous visual monitoring. A wearable interface developed at Jeonbuk National University combines hand gestures for sending commands with abdominal vibrations that indicate the drone’s position relative to the user.[#item_full_content]
Practically or theoretically, whether teaching a classroom full of Penn State students or pondering concepts with a smaller group of international colleagues, Heather Shoenberger brings curiosity and optimism as she considers the challenges and opportunities related to artificial intelligence.Practically or theoretically, whether teaching a classroom full of Penn State students or pondering concepts with a smaller group of international colleagues, Heather Shoenberger brings curiosity and optimism as she considers the challenges and opportunities related to artificial intelligence.Machine learning & AI[#item_full_content]
A new neural network component, developed at University of Michigan Engineering, challenges a common assumption in robot learning: that the same general-purpose neural networks used for image recognition are equally suited to controlling physical movement.A new neural network component, developed at University of Michigan Engineering, challenges a common assumption in robot learning: that the same general-purpose neural networks used for image recognition are equally suited to controlling physical movement.[#item_full_content]
A new neural network component, developed at University of Michigan Engineering, challenges a common assumption in robot learning: that the same general-purpose neural networks used for image recognition are equally suited to controlling physical movement.A new neural network component, developed at University of Michigan Engineering, challenges a common assumption in robot learning: that the same general-purpose neural networks used for image recognition are equally suited to controlling physical movement.Robotics[#item_full_content]
The control of large-scale industrial bioreactors is one of the most complex tasks in the process industry. In the often huge plants, the smallest differences in temperature, pH value or oxygen content determine the success or failure of a process.The control of large-scale industrial bioreactors is one of the most complex tasks in the process industry. In the often huge plants, the smallest differences in temperature, pH value or oxygen content determine the success or failure of a process.Engineering[#item_full_content]
A research team led by professor Zhu Hui from the Institute of Intelligent Machines at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed two methods to improve reconstruction fidelity, helping robots build more accurate representations of their surroundings.A research team led by professor Zhu Hui from the Institute of Intelligent Machines at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed two methods to improve reconstruction fidelity, helping robots build more accurate representations of their surroundings.Automotive[#item_full_content]
