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Category: robotics/AI

Space exploration company SpaceX’s founder and chief executive officer Elon Musk on Tuesday said he expected humans to land on Mars in six years. He also said that SpaceX plans to launch an unmanned spacecraft and land on Mars in two years, with a chance of the first human landing on Mars in four years instead of six.

United States’ space agency NASA’s Perseverance rover which was launched in July 2020 is scheduled to land at Jezero Crater on Mars on 18 February 2021. It will look at signs of ancient life and collect rock and soil samples for a possible return to Earth.

It is carrying instruments that will use high-temperature electrolysis but the Mars Oxygen In-Situ Resource Utilization Experiment (MOXIE) will be producing oxygen only, from the carbon dioxide in the air.

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A new type of energy-generating synthetic skin could create more affordable prosthetic limbs and robots capable of mimicking the sense of touch, scientists say.

In an early-view paper published in the journal IEEE Transactions on Robotics, researchers from the University of Glasgow describe how a wrapped in their flexible solar is capable of interacting with objects without using dedicated and expensive .

Instead, the skin puts the array of miniaturized integrated on its soft polymer surface to a clever dual use. The cells generate enough energy to power the micro-actuators which control the hand’s movements, but they also provide the hand with its unique sense of ‘touch’ by measuring the variations in the solar cells’ output.

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Yes, we’re talking about Ford the automaker, and a massive mixed-use, multimodal development project centered around a train station.

Many automakers have been dabbling in micromobility and autonomous vehicles as they try to prepare for the transport transformations of the 21st century rather than crumble underneath them. But a 30-acre walkable community centered around a train station is something else.

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Diseases caused by folded proteins in the body are all over the news every day, like cancer, Alzheimer’s, and COVID-19. And now, a Google model powered by artificial intelligence could map these folded proteins in more detail than ever before, allowing scientists to “unfold” proteins and better explore possible treatments.

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AI solves a 50 year biological problem of protein folding!

Han from WrySci HX goes through the recent scientific breakthrough by AlphaFold from DeepMind. The ability to accurately predict a protein structure just based on an amino acid sequence will be a complete game changer. More below ↓↓↓

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Video credits from DeepMind: https://www.youtube.com/watch?v=gg7WjuFs8F4

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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. Here’s a selection of studies presented at this year’s 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.

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Artificial intelligence (AI) has solved one of biology’s grand challenges: predicting how proteins curl up from a linear chain of amino acids into 3D shapes that allow them to carry out life’s 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.

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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.

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