Page 5 - Robotry Artificial Intelligence News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Robotry artificial intelligence. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Robotry Artificial Intelligence Today - Breaking & Trending Today

A speedy trial: What it takes to be the fastest land predator


 E-Mail
IMAGE: A team of researchers from Japan devised a simple analytical model emulating vertical hopping and spine bending movement displayed by cheetahs during running and obtained criteria for determining flight types.
view more 
Credit: Image courtesy: Tomoya Kamimura from Nagoya Institute of Technology
What makes cheetah the fastest land mammal? Why aren t other animals, such as horses, as fast? While we haven t yet figured out why, we have some idea about how cheetahs, as it turns out, make use of a galloping gait at their fastest speeds, involving two different types of flight : one with the forelimbs and hind limbs beneath their body following a forelimb liftoff, called gathered flight, while another with the forelimbs and hind limbs stretched out after a hind limb liftoff, called extended flight (see Figure 1). Of these, the extended flight is what enables cheetahs to accelerate to high speeds, and it depends on ground reaction forces s ....

Tomoya Kamimura , Nagoya Institute Of Technology , Nagoya Institute Of Technology Nitech , Creative Engineering Program , Nagoya Institute , Scientific Reports , Engineering Program , Technology Engineering Computer Science , Robotry Artificial Intelligence , நாகோயா நிறுவனம் ஆஃப் தொழில்நுட்பம் , படைப்பு பொறியியல் ப்ரோக்ர்யாம் , நாகோயா நிறுவனம் , அறிவியல் அறிக்கைகள் , பொறியியல் ப்ரோக்ர்யாம் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Artificial intelligence enables smart control and fair sharing of resources in energy communities


Credit: HW University
Energy communities will play a key role in building the more decentralised, less carbon intensive, and fairer energy systems of the future. Such communities enable local prosumers (consumers with own generation and storage) to generate, store and trade energy with each other using locally owned assets, such as wind turbines, rooftop solar panels and batteries. In turn, this enables the community to use more locally generated renewable generation, and shifts the market power from large utility companies to individual prosumers.
Energy community projects often involve jointly-owned assets such as community-owned wind turbines or shared battery storage. Yet, this raises the question of how these assets should be controlled - often in real time, and how the energy outputs jointly-owned assets should be shared fairly among community members, given not all members have the same size, energy needs or demand profiles. ....

United Kingdom , New Delhi , City Of , Valentin Robu , Sonam Norbu , Smart Systems Group , Scottish Renewables , Community Energy Demand Reduction , Indian Institute Of Technology , Young Professional Green Energy Academic Award , Watt University , Watt University In Edinburgh , Artificial Intelligence , Applied Energy , Heriot Watt University , Responsive Flexibility , Orkney Islands , Indian Institute , Energy Fuel Non Petroleum , Energy Sources , Technology Engineering Computer Science , Robotry Artificial Intelligence , Climate Change , ஒன்றுபட்டது கிஂக்டம் , புதியது டெல்ஹி , நகரம் ஆஃப் ,

Medical AI models rely on 'shortcuts' that could lead to misdiagnosis of COVID-19


 E-Mail
Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical decision-making to improve patient outcomes. From diagnosing disease, to personalizing treatment, to predicting complications from surgery, AI could become as integral to patient care in the future as imaging and laboratory tests are today.
But as University of Washington researchers discovered, AI models like humans have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
In a new paper published May 31 in
Nature Machine Intelligence, UW researchers examined multiple models recently put forward as potential tools for accurately detecting COVID-19 from chest radiography, otherwise known as chest X-rays. The team found that, rather than learning genuine medical pathology, these models rely instead on shortcut learning to draw spurious associat ....

Gabriel Erion , Pascal Sturmfels , Scott Lundberg , Alex Degrave , Joseph Janizek , Microsoft Research , University Of Washington , Uw Medical Scientist Training Program , National Institutes Of Health , National Science Foundation , Allen School , Nature Machine Intelligence , Computer Science , Scientist Training , Su In Lee , Nature Machine , National Institutes , Health Care Systems Services , Infectious Emerging Diseases , Technology Engineering Computer Science , Computer Science , Software Engineering , Robotry Artificial Intelligence , கேப்ரியல் ஏரிஓன் , ஸ்காட் லண்ட்பெர்க் , மைக்ரோசாஃப்ட் ஆராய்ச்சி ,