It works by matching up personal data with hospital records.
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A space launch every 3 hours may soon be possible using rockets carried on a fully autonomous unmanned airplane, a new startup company suggests.
Alabama-based startup Aevum aims to per mission, using an air-launch system called Ravn.
“Ravn is designed to launch every 180 minutes,” Jay Skylus, Aevum’s CEO and chief launch architect, told Space.com. “Other launch vehicles fly only a handful of times a year with an average of 18 months of lead time.” [Rocket Launches: The Latest Liftoffs, Photos & Videos].
Posted in robotics/AI, space travel
IBM Research AI team demonstrated deep neural network (DNN) training with large arrays of analog memory devices at the same accuracy as a Graphical Processing Unit (GPU)-based system. This is a major step on the path to the kind of hardware accelerators necessary for the next AI breakthroughs. Why? Because delivering the Future of AI will require vastly expanding the scale of AI calculations.
Above – Crossbar arrays of non-volatile memories can accelerate the training of fully connected neural networks by performing computation at the location of the data.
This new approach allows deep neural networks to run hundreds of times faster than with GPUs, using hundreds of times less energy.
It’s not unrealistic to think that 80% of what doctors do will be replaced by algorithms and artificial intelligence. The idea, evangelized by venture capitalist Vinod Khosla two years ago, is that machines can more accurately diagnosis us — and that will reduce deadly medical errors and free doctors up to do other things.
The bottom line: We’re getting closer to this reality. Algorithms, for example, can already diagnose diseases from imaging scans better than human radiologists. Computers possibly could take over the entire radiology specialty.
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RIPPA, a fully autonomous robot, can cover five acres a day on a solar charge — finding and exterminating pests and weeds on every single plant over the equivalent of four football fields. Are robots like RIPPA the future of farming?
RIPPA stands for “Robot for Intelligent Perception and Precision Application”.
Catalyst joins engineers from the Australian Centre for Field Robotics as they explore the world of agriculture to develop robots and smarter ways of farming.
Watch Catalyst on ABC iview now: https://iview.abc.net.au/programs/catalyst
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That growth in factory worker salaries has been a double-edged sword for China. On one hand, it has increased the purchasing power of Chinese which in turn has powered consumer-led economic growth, but on the other it has made China less competitive on wages and forced companies like Foxconn to introduce more automation.
With 1 million employees and half a dozen factories contributing 4 per cent of the country’s export value, Foxconn’s expansion symbolises China’s role as tech manufacturing powerhouse.
Robots aren’t playing professional soccer just yet, but they can certainly help predict it! With the FIFA World Cup kicking off, San Francisco-based tech firm Unanimous A.I. has used its considerable artificial intelligence expertise to predict the outcome of the 32-team men’s soccer tournament. Given that the startup has previously predicted the Super Bowl results successfully right down to the exact final score, we totally think this is worth taking seriously.
“These predictions were generated using swarm A.I. technology,” Louis Rosenberg, founder and CEO of Unanimous A.I., told Digital Trends. “This means it uses a unique combination of human insights and artificial intelligence algorithms, resulting in a system that is smarter than the humans or the machines could be on their own. It works by connecting a group of people over the internet using A.I. algorithms, enabling them to think together as a system, and converge upon predictions that are the optimized combination of their individual knowledge, wisdom, instincts, and intuitions.”
The technology is modeled on the remarkable abilities of swarms in nature, such as swarms of bees, schools of fish, or flocks of birds. These natural swarms combine the insights of large groups in optimized ways. Unanimous’ swarms utilize this same principle to answer complex questions — such as giving precise probability-based outcomes on each game in the World Cup.
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This video is the ninth in a multi-part series discussing computing and the second discussing non-classical computing. In this video, we’ll be discussing what quantum computing is, how it works and the impact it will have on the field of computing.
[0:28–6:14] Starting off we’ll discuss, what quantum computing is, more specifically — the basics of quantum mechanics and how quantum algorithms will run on quantum computers.
[6:14–9:42] Following that we’ll look at, the impact quantum computing will bring over classical computers in terms of the P vs NP problem and optimization problems and how this is correlated with AI.
[9:42–14:00] To conclude we’ll discuss, current quantum computing initiatives to reach quantum supremacy and ways you can access the power of quantum computers now!