A lip-reading app from Irish startup Liopa is said to represent a breakthrough in the field of visual speech recognition (VSR), which trains AI to read lips without any audio input. Liopa's product, SRAVI (Speech Recognition App for the Voice Impaired) is a communication aid for speech-impaired patients. It is likely to be the first lip-reading AI app available for public purchase, according to an account from Vice/Motherboard. Researchers driven by a range of potential commercial applications including surveillance tools have been working for years to teach computers to lip-read, and it has proven a challenging task. Liopa is working to certify SRAVI as a Class I medical device in Europe, hoping to complete the certification by August.
NASA's latest Mars rover is done with its testing and is ready to embark upon its first scientific mission. After landing on the planet in February, the Perseverance rover has been busy trying out its many instruments--converting atmospheric carbon dioxide into oxygen that would be needed for manned missions, flying a helicopter and taking photos. Now, it will begin its mission: looking for evidence of life. Over the coming months, it will use a variety of sophisticated instruments to scan the planet's Jezero Crater for places of interest, drill into rocks and soil, and collect specimens to be retrieved and brought to Earth by future spacecraft. The rover is packed with 23 cameras, sensors, a laser and a drill-equipped robotic arm.
Organizations around the globe are becoming more aware of the risks artificial intelligence (AI) may pose, including bias and potential job loss due to automation. At the same time, AI is providing many tangible benefits for organizations and society. For organization, this is creating a fine line between the potential harm AI might cause and the costs of not adopting the technology. Three emerging practices can help organizations navigate the complex world of moral dilemmas created by autonomous and intelligent systems. AI risks continue to grow, but so does the number of public and private organizations that are releasing ethical principles to guide the development and use of AI.
Like any technology, AI has just as much potential for harm as for good. Some experts predict that once the excitement and novelty of AI-assisted clinical procedures wear off, problems will begin to pop up. For example, few of the 130 AI devices the U.S. Food and Drug Administration (FDA) has approved over the past couple of years have been tested in clinical trials. As a result, AI could miss a tumor during a CT scan, recommend the wrong medication, give a hospital bed to a patient who needs it less than another and produce many other errors. And if there is a fundamental flaw in the programming, it could misdiagnose thousands of patients instead of just one.
Dr. Dhonam Pemba is the CEO and Co-Founder of KidX, he is a neural engineer by education, a former rocket scientist by work, and AI entrepeneur by entrepeneurship. He received his Biomedical Engineering undergraduate degree from Johns Hopkins University, and hi PhD from the University of California, Irvine also in BME, but worked on neural interface for his thesis. Can you me about the NASA JPL project and how it was related to your PhD work? My PhD work was building micro implantable neural implants. Very similar to the work that Elon Musks's company Neuralink is now doing.
NASA's InSight lander is struggling to retain power as it explores Mars as dust is accumulating on its solar panels, which could result in its mission ending within the next year. The American space agency announced Tuesday that 80 percent of the solar panels are obstructed by dust, leaving less than 700 watt-hours of power per Martian day. It was hoped that winds would clean the lander and allow it to continue to collect seismic data on its extended mission, which was supposed to last until the end of 2022. NASA attempted to remove dust from the top on InSight earlier this month using the lander's robotic arm, which trickled sand near one solar panel with the hopes wind would carry off the panel's dust. NASA's InSight lander is struggling to retain power as it explores Mars due to Martian dust accumulating on its solar panels, which could result in its mission within the next year The death of InSight was discussed at a June 21 meeting of NASA's Mars Exploration Program Analysis Group, SpaceNews reports.
IMAGE: A new machine-learning method developed by researchers at the University of Minnesota, University of Pittsburgh, and U.S. Geological Survey will provide more accurate stream and river temperature predictions, even when... view more Machine learning algorithms do a lot for us every day--send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to watch next. Now, we are increasingly using these same algorithms to make environmental predictions for us. A team of researchers from the University of Minnesota, University of Pittsburgh, and U.S. Geological Survey recently published a new study on predicting flow and temperature in river networks in the 2021 Society for Industrial and Applied Mathematics (SIAM) International Conference on Data Mining (SDM21) proceedings. The study was funded by the National Science Foundation (NSF). The research demonstrates a new machine learning method where the algorithm is "taught" the rules of the physical world in order to make better predictions and steer the algorithm toward physically meaningful relationships between inputs and outputs.
Editor's note: This is the second part of a two-part series. The first installment can be found here. The first part installment in this series examined the benefits of Artificial Intelligence/Machine Learning (AI/ML) and noted the considerations that regulatory bodies are studying for use with AI/ML algorithms. The second and final installment explores the past and current regulations, and summarizes the latest framework proposed by the U.S. Food and Drug Administration's (FDA). While current guidance around AI/ML implementation in medical devices is lacking, the FDA is working to solve the problem.
The Biden administration launched a new task force June 10 that will work across healthcare, technology and other sectors to make government data more available to artificial intelligence researchers, according to The Wall Street Journal. The White House Office of Science and Technology Policy and the National Science Foundation will lead the task force, dubbed the National Artificial Intelligence Research Resource Task Force. The group comprises 12 members from academia, government and industry organizations. The task force will develop a strategy for creating an AI research resource that could give researchers secure access to anonymous data about Americans, from demographics to health habits. Medical data could also be made available for research by both private and academic institutions, officials said.
Is there training at NASA or elsewhere for this kind of stuff? There are analogues of the space station and the modules to prepare you for how to handle things. You go see how you're going to do the so-called mundane things you'll be doing in space. And when it comes to figuring out how you'll do these things in space, there's the parabolic flights you go on, where you experience weightlessness for 25 seconds at a time. But we never really take weightlessness training to do other things, like cleaning your teeth.