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]
If “to err is human,” you could say robots are superhuman. They’re more error-prone than we are, even when tasked with things like home and factory chores, which we might consider easy. One reason for these mistakes is that robots struggle to extract relevant details from the past and act on them in real time, even with vision-language models (VLMs), which interpret visual inputs such as videos and images along with natural language.If “to err is human,” you could say robots are superhuman. They’re more error-prone than we are, even when tasked with things like home and factory chores, which we might consider easy. One reason for these mistakes is that robots struggle to extract relevant details from the past and act on them in real time, even with vision-language models (VLMs), which interpret visual inputs such as videos and images along with natural language.[#item_full_content]
If “to err is human,” you could say robots are superhuman. They’re more error-prone than we are, even when tasked with things like home and factory chores, which we might consider easy. One reason for these mistakes is that robots struggle to extract relevant details from the past and act on them in real time, even with vision-language models (VLMs), which interpret visual inputs such as videos and images along with natural language.If “to err is human,” you could say robots are superhuman. They’re more error-prone than we are, even when tasked with things like home and factory chores, which we might consider easy. One reason for these mistakes is that robots struggle to extract relevant details from the past and act on them in real time, even with vision-language models (VLMs), which interpret visual inputs such as videos and images along with natural language.Robotics[#item_full_content]
Many AI platforms will end up eventually adopting advertising, the head of the online advertising agency Criteo told AFP Tuesday, as investors are focused on whether the technology will ever be profitable.Many AI platforms will end up eventually adopting advertising, the head of the online advertising agency Criteo told AFP Tuesday, as investors are focused on whether the technology will ever be profitable.Machine learning & AI[#item_full_content]
AI is often criticized for the energy its data centers consume, which is driving more fossil fuel use and contributing to climate change.AI is often criticized for the energy its data centers consume, which is driving more fossil fuel use and contributing to climate change.Machine learning & AI[#item_full_content]
Researchers at Colorado State University have developed a flexible robot that functions like an elephant’s trunk to grip objects, with a goal of one day sending teams of these machines to aid in space exploration or to help with any number of other complex tasks.Researchers at Colorado State University have developed a flexible robot that functions like an elephant’s trunk to grip objects, with a goal of one day sending teams of these machines to aid in space exploration or to help with any number of other complex tasks.[#item_full_content]
