So AI is now designing robots. đ
At first the designs were nonsense, but the (human) engineers trained it on animals and arthropods.
Category: robotics/AI – Page 1,841
Tesla Should Launch a Human Driven Ride-Hail Service to Accelerate Its Autonomous Strategy
ARK previously detailed the tactical advantages Tesla would enjoy if it were to launch a vertically integrated ride-hail service. Here, we detail the strategic logic of Tesla launching that service.
RSNA 2020: AI highlights from an all-virtual annual meeting
The annual meeting of the Radiological Society of North America highlighted how artificial intelligence is being used to augment medical imaging.
RSNA 2020, the annual meeting of the Radiological Society of North America, showcases the latest research advances and product developments in all areas of radiology. Hereâs a selection of studies presented at this yearâs all-virtual event, all of which demonstrate the increasingly prevalent role played by artificial intelligence (AI) techniques in diagnostic imaging applications.
Deep-learning model helps detect TB
Early diagnosis of tuberculosis (TB) is crucial to enable effective treatments, but this can prove challenging for resource-poor countries with a shortage of radiologists. To address this obstacle, Po-Chih Kuo, from Massachusetts Institute of Technology, and colleagues have developed a deep-learning-based TB detection model. The model, called TBShoNet, analyses photographs of chest X-rays taken by a phone camera.
âThe game has changed.â AI triumphs at solving protein structures
Artificial intelligence (AI) has solved one of biologyâs grand challenges: predicting how proteins curl up from a linear chain of amino acids into 3D shapes that allow them to carry out lifeâs tasks. Today, leading structural biologists and organizers of a biennial protein-folding competition announced the achievement by researchers at DeepMind, a U.K.-based AI company. They say the DeepMind method will have far-reaching effects, among them dramatically speeding the creation of new medications.
AI Solves 50-Year-Old Biology âGrand Challengeâ Decades Before Experts Predicted
A long-standing and incredibly complex scientific problem concerning the structure and behaviour of proteins has been effectively solved by a new artificial intelligence (AI) system, scientists report.
DeepMind, the UK-based AI company, has wowed us for years with its parade of ever-advancing neural networks that continually trounce humans at complex games such as chess and Go.
All those incremental advancements were about much more than mastering recreational diversions, however.
How autonomous robots are changing construction
Thereâs a lot of buzz around self-driving cars, but autonomous driving technology could revolutionize the construction industry first. That industry hasnât changed much over the last several decades, according to some experts, making it an ideal candidate for automation.
âThe way we build today is largely unchanged from the way we used to build 50 years ago,â said Gaurav Kikani, vice president of Built Robotics. âWithin two years, I think weâre really going to turn the corner, and youâre going to see an explosion of robotics being used on construction sites.â
The industry is also faced with a labor shortage that the Covid-19 pandemic has further complicated.
AI solves 50-year-old science problem in âstunning advanceâ
A 50-year-old science problem has been solved and could allow for dramatic changes in the fight against diseases, researchers say.
For years, scientists have been struggling with the problem of âprotein foldingâ â mapping the three-dimensional shapes of the proteins that are responsible for diseases from cancer to Covid-19.
Googleâs Deepmind claims to have created an artificially intelligent program called âAlphaFoldâ that is able to solve those problems in a matter of days.
DeepMind solves 50-year-old âgrand challengeâ with protein folding A.I.
LONDON â Alphabet-owned DeepMind has developed a piece of artificial intelligence software that can accurately predict the structure that proteins will fold into in a matter of days, solving a 50-year-old âgrand challengeâ that could pave the way for better understanding of diseases and drug discovery.
Every living cell has thousands of different proteins inside that keep it alive and well. Predicting the shape that a protein will fold into is important because it determines their function and nearly all diseases, including cancer and dementia, are related to how proteins function.
âProteins are the most beautiful, gorgeous structures and the ability to predict exactly how they fold up is really very, very challenging and has occupied many people over many years,â Professor Dame Janet Thornton from the European Bioinformatics Institute told journalists on a call.
