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Iowa State part of US National Science Foundation newly established artificial intelligence …


One of the 11 institutes, called the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), is led by The …

Elon Musk's New Tesla Recruiting Strategy: A Day to Show Off Artificial Intelligence


Musk announced that Tesla’s ‘AI Day’ will take place on August 19. Similar themed events in other industries could help companies recruit specialized …

Product News: ZEISS applies artificial intelligence to 3D x-ray microscope reconstruction …


Two new reconstruction technologies introduced by ZEISS use Artificial Intelligence (AI) to improve data collection and analysis, and speed up …

AI system could help protect health of US Navy divers


Researchers in the US have received funding to develop an artificial intelligence (AI) system that can help protect divers from waterborne bacteria, …

AI predicts protein structure


Proteins are essential building blocks of living organisms. Every human cell is replete with them. While the understanding of the shapes of proteins is important for making medical advances, only a fraction of these had been deciphered until recently. The ability to use artificial intelligence (AI) to predict the structures of almost every protein made by the human body could help to accelerate the discovery of new drugs to treat disease. A program called AlphaFold can predict the structures of 350,000 proteins belonging to humans and other organisms.

Becoming Human: AI Progress


People can acquire and apply general knowledge to solve problems in a wide range of subject areas. Some of them are absorbed by all people, such as walking and talking. Over the past five years, AI has made a huge impact. Not a day goes by without media coverage of AI applications, and start-up activity skyrocketing and new ventures thriving in the field. For example, according to this report, AI companies increased their activity by 72% in 2018 compared to 2017.

Where AI can help care for the sick and elderly – and where it can't


As populations age, more and more people are asking how best to organise care for the elderly in future. Trained staff will be important, as will technology and innovation – which may include artificial intelligence (AI). Some people get fearful when talk turns to AI, a topic riddled with misconceptions. At the end of the day, what it means is the attempt to map human decisions using computers, says Andreas Hein, an expert in assistance systems at Oldenburg University in Germany. In a medicine or health care setting, that means providing doctors and nurses suggestions that a computer has created based on data.

Future of Artificial Intelligence (AI) for Business


Artificial intelligence (AI) is continuing its migration out of the research lab and into the world of business. Leading companies across hundreds of industries are harnessing its power -- from banks analyzing countless data points in seconds to detect fraud, to call centers deploying chatbots to improve customer interactions. These early uses are still fairly limited, but huge advances in deep learning (a subset of machine learning) are starting to impact AI in ways that will soon help society and business tackle a wider set of more general problems. Such advances will also make it possible to automate more complex physical tasks that require adaptability and agility. At Salesforce, we believe AI has tremendous potential for improving the way organizations operate (and you can learn how AI is built into our entire Salesforce Customer 360 here).

AI spots early eye changes that signal diabetic retinopathy - Futurity


You are free to share this article under the Attribution 4.0 International license. New biomarkers in the eyes could help manage diabetic retinopathy, and perhaps even diabetes, according to new research. During its early stages, diabetes can affect the eyes before the changes are detectable with a regular clinical examination. New research shows these changes can be measured earlier than previously thought with specialized optical techniques and computer analysis. The ability to detect biomarkers for this sight-threatening condition may lead to the early identification of people at risk for diabetes or visual impairment, as well as improve physicians' ability to manage these patients.