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Visualizing an AI model's blind spots
Anyone who has spent time on social media has probably noticed that GANs, or generative adversarial networks, have become remarkably good at drawing faces. They can predict what you'll look like when you're old and what you'd look like as a celebrity. But ask a GAN to draw scenes from the larger world and things get weird. A new demo by the MIT-IBM Watson AI Lab reveals what a model trained on scenes of churches and monuments decides to leave out when it draws its own version of, say, the Pantheon in Paris, or the Piazza di Spagna in Rome. The larger study, Seeing What a GAN Cannot Generate, was presented at the International Conference on Computer Vision this week. "Researchers typically focus on characterizing and improving what a machine-learning system can do -- what it pays attention to, and how particular inputs lead to particular outputs," says David Bau, a graduate student at MIT's Department of Electrical Engineering and Computer Science and Computer Science and Artificial Science Laboratory (CSAIL).
Researchers use laser to hack voice-activated devices like Amazon Echo
Suddenly, the garage door opens, a burglar slides in, uses another laser to have the Echo start the car and drives off. Researchers from the University of Michigan have used laser lights to exploit a wide variety of voice-activated devices, giving them access to everything from thermostats to garage door openers to front door locks. The researchers have communicated their findings to Amazon, Google and Apple, which are studying the research. Working with researchers from the University of Electro-Communications in Japan, U-M's researchers published a paper and a web site detailing how it works. There are also videos showing it in action.
Artificial Intelligence in Healthcare: The Hope, The Hype, The Promise, The Peril - Stanford Center for Continuing Medical Education - Continuing Education (CE)
Registration for this conference is now closed. This conference is anchored and building on the preview of the Special National Academy of Medicine (NAM) publication titled: "Artificial Intelligence in Healthcare: The Hope, The Hype, The Promise, The Peril." Co-led by Michael Matheny and Sonoo Thadaney Israni. Registration includes course materials, certificate of participation, breakfast and lunch. CME Certificate Fee: $25.00 Note: If you would like to receive CE Credit for your attendance, there will be a $25.00 fee option after the conference evaluation is completed and your conference attendance is verified. Your email address is used for critical information, including registration confirmation, evaluation, and certificate.
Artificial Intelligence Detects Depression by Analyzing Voice
Scientists developed a new system with the help of the latest technology to keep an eye on your depression. Isn't this amazing that whenever you talk, Artificial Intelligence can analyze your voice within seconds either you are depressed or not? Some diseases are easy to detect with its symptoms, for example, chest pain points out heart problems but it is very difficult to detect depression. Depression is a common and very serious issue of today's generation that leads to health complications. According to the World Health Organization (WHO), India ranked 6th most depressed country.
Global Family Doctor - WONCA Online
From the President: November 2019 President's Messages November 2019 Espaรฑol Franรงais ไธญๆ Our Executive and many of our members are involved in numerous ways in the development and use of Artificial Intelligence (AI) in relation to their practice. As an organization we emphasise that nothing can replace the face to face and continuous contact between family doctor and patient. At the same time, we acknowledge that AI is around, available and in increasing use both by our patients and by us. I am pleased that the WONCA Working Party on eHealth, chaired by Pramendra Prasad, is taking the lead on this issue on behalf of family medicine. WONCA is now engaged in a pilot project with Ping An Good Doctors of China (PAGD) to assess an AI assisted primary care system.
Farmers are using AI to spot pests and catch diseases -- and many believe it's the future of agriculture
In Leones, Argentina, a drone with a special camera flies low over 150 acres of wheat. It's able to check each stalk, one-by-one, spotting the beginnings of a fungal infection that could potentially threaten this year's crop. The flying robot is powered by computer vision: a kind of artificial intelligence being developed by start-ups around the world, and deployed by farmers looking for solutions that will help them grow food on an increasingly unpredictable planet. Many food producers are struggling to manage threats to their crop like disease and pests, made worse by climate change, monocropping, and widespread pesticide use. Catching things early is key.
Smart Review: Google AI Experiments Getting Smart
Artificial Intelligence is now one of the fastest-growing and most needed educational initiatives in the world. With that being said, schools are researching and adapting AI programs to meet the needs of students. One of the latest programs available to educators and students in the classroom is Google AI Experiments. In April of 2019, we (Louis and Justin) had the privilege of traveling to Google's New York City Chelsea office space. Louis was invited by Barron Webster, Google Creative Lab Designer, to present his sixth-grade science fair project to the Experiments with Google team.
The challenges of using machine learning to identify gender in images
In recent years, computer-driven image recognition systems that automatically recognize and classify human subjects have become increasingly widespread. These algorithmic systems are applied in many settings โ from helping social media sites tell whether a user is a cat owner or dog owner to identifying individual people in crowded public spaces. A form of machine intelligence called deep learning is the basis of these image recognition systems, as well as many other artificial intelligence efforts. This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology. Interactive: How does a computer "see" gender?
Data Council New York City 2019
Data Council is the first community-powered data-platforms, science, & analytics event for software engineers, data scientists, deep learning researchers, and technical founders who want to discover tools & insights to build AI-based products. Happening on Nov 12 - 13, 2019 - @ Columbia University - Alfred Lerner Hall in NYC Click to remind me.
Google BERT algorithm update impacts search & snippets
Google named their algorithm update after my beloved Muppet, Bert, from Sesame Street. Choosing this world-renown name shows that Google has a sense of humour. They timed its release just before the TV show's 50th anniversary, which premiered on November 10, 1969. Launched on October 28, 2019, BERT impacts 1 in 10 searches, plus organic rankings and featured snippets. SEO companies are going to make big bucks to tell you what you need to do to your site to boost your online presence.