One factor that could prevent a similar outcome in the upcoming race is the ability to test-run cars on a virtual racetrack. The simulation software company Ansys Inc. has already developed a model of the Indianapolis Motor Speedway on which teams will test their algorithms as part of a series of qualifying rounds. "We can create, with physics, multiple real-life scenarios that are reflective of the real world," Ansys President Ajei Gopal told The Wall Street Journal. "We can use that to train the AI, so it starts to come up to speed." Still, the race could reveal that self-driving cars aren't quite ready to race at speeds of over 110 mph.
The "China Medical Robot Industry Report, 2020-2026" report has been added to ResearchAndMarkets.com's offering.The report highlights the following:Development environment for China medical robot industry (global market, economic environment and policy climate);Development of China medical robot industry (status quo, market size, market structure, competitive landscape, market segments and development trends);Global and Chinese companies (operation and medical robot business).Medical robot is the most promising segment of service robot market. By one estimate, globally 7,200 units of medical robots were sold and valued at $2.58 billion in 2019, compared with 5,100 units (up by 50% YoY) in 2018.Medical robot grows fastest in the US. As of March 31, 2020, Intuitive Surgical has installed 5,669 units of Da Vinci surgical system in all worldwide, including 3,581 units in the US, or 63.2% of the total.China's intelligent medical robot industry started later than its foreign peers. In current stage, the whole industry is in a transitional phase from research and development and clinical trials to commercialization and mass production. In 2019, China's medical robot market was worth $620 million.Rehabilitation robot has been the largest segment in China's medical robot market thanks to a combination of positive factors such as broad application and favorable policies, sweeping 42.9% …
It's no secret that healthcare costs have risen faster than inflation for decades. Some experts estimate that healthcare will account for over 20% of the US GDP by 2025. Meanwhile, doctors are working harder than ever before to treat patients as the U.S. physician shortage continues to grow. Many medical professionals have their schedules packed so tightly that much of the human element which motivated their pursuit of medicine in the first place is reduced. In healthcare, artificial intelligence (AI) can seem intimidating.
IBM says it has made progress toward developing ways to estimate the severity of Parkinson's symptoms by analyzing physical activity as motor impairment increases. In a paper published in the journal Nature Scientific Reports, scientists at IBM Research, Pfizer, the Spivack Center for Clinical and Translational Neuroscience, and Tufts created statistical representations of patients' movement that could be evaluated using AI either in-clinic or from a more natural setting, such as a patient's home. And at the 2020 Machine Learning for Healthcare Conference (MLHC), IBM and the Michael J. Fox Foundation intend to detail a disease progression model that pinpoints how far a person's Parkinson's has advanced. The human motor system relies on a series of discrete movements, like arm swinging while walking, running, or jogging, to perform tasks. These movements and the transitions linking them create patterns of activity that can be measured and analyzed for signs of Parkinson's, a disease that's anticipated to affect nearly 1 million people in the U.S. this year alone.
A research group, consisting of astronomers mainly from the National Astronomical Observatory of Japan (NAOJ), applied a deep-learning technique, a type of AI, to classify galaxies in a large dataset of images obtained with the Subaru Telescope. Thanks to its high sensitivity, as many as 560,000 galaxies have been detected in the images. It would be extremely difficult to visually process this large number of galaxies one by one with human eyes for morphological classification. The AI enabled the team to perform the processing without human intervention. Automated processing techniques for extraction and judgment of features with deep-learning algorithms have been rapidly developed since 2012.
Pixabay – Martin Büdenbender Researchers from the Eindhoven University of Technology and the Catharina Hospital in Eindhoven have developed a new algorithm for rapid screening of COVID-19. The software is intended for use in Emergency Rooms, to quickly exclude the presence of corona in incoming patients. As a result, doctors need to conduct fewer standard coronavirus tests, increasing efficiency. The quick scan for COVID-19 was developed within three months and is already in use by doctors in the Emergency Room (ER) of the Catharina Hospital.
Machine learning could be the key to preventing cyber-attacks Image credit: Nexusby / Shutterstock / PortSwigger Ltd Artificial intelligence can help internet service providers prevent DDoS attacks before they happen, say researchers. Findings from the National University of Singapore and Ben-Gurion University of the Negev, Israel, presented a new method in the peer-reviewed journal Computers & Security. The method uses machine learning to detect vulnerable smart home devices, which are an attractive target for hackers who assemble botnets to launch DDoS attacks.
For the third straight year, Deloitte surveyed executives about their companies' sentiments and practices regarding AI technologies. We were particularly interested in understanding what it will take to stay ahead of the pack as AI adoption grows--and we wanted to learn how adopters are managing risk around the technologies as AI governance, trust, and ethics become more of a boardroom issue. Get the Deloitte Insights app. Adopters continue to have confidence in AI technologies' ability to drive value and advantage. We see increasing levels of AI technology implementation and financial investment. Adopters say they are realizing competitive advantage and expect AI-powered transformation to happen for both their organization and industry. Early-mover advantage may fade soon. As adoption becomes ubiquitous, AI-powered organizations may have to work harder to maintain an edge over their industry peers.
The Iraqi army says two senior security officials have been killed in a "blatant Turkish drone attack" in the country's north, where Ankara has for weeks been raiding positions of fighters it considers "terrorists". The drone targeted a vehicle belonging to the Iraqi border guards in the Bradost area, north of Erbil, the military said in a statement on Tuesday. The strike caused the deaths of the two border guard battalion commanders and the vehicle's driver. There was no immediate statement by Turkey. The deaths announced by the military marked the first time members of the regular Iraqi forces have been killed since Turkey launched a cross-border ground and air operation in mid-June against the Kurdistan Workers' Party (PKK) in the mountainous terrain of northern Iraq.