Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2,139

It won’t be simple. As with the advent of the car, many serious implications will be emergent, and the harshest effects borne by communities with the least powerful voices. We need to move our gaze from individuals to systems to communities, and back again. We must bring together diverse expertise, including workers and citizens, to develop a framework that health systems can use to anticipate and address issues. This framework needs an explicit mandate to consider and anticipate the social consequences of AI — and to keep watch over its effects. That is the best way to ensure that health technologies meet the needs of all, and not just those in Silicon Valley.

Health authorities are overlooking risks to systems and society in their evaluations of new digital technologies, says Melanie Smallman.

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YORKSHIRE, U.K. — 7 MARCH, 2019 — Optalysys Ltd. (@ Optalysys), a disruptive technology company developing light-speed optical AI systems announced today that the world’s first optical co-processor system, the FT: X 2000, is now available to order.

Optical processing comes at a pivotal time of change in computing. Demand for AI is exploding just as silicon-based processing is facing the fundamental problem of Moore’s Law breaking down. Optalysys is addressing this problem with its revolutionary optical processing technology — enabling new levels of AI performance for high resolution image and video-based applications.

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Going forward into our exponential future…

“By our very nature, we humans are linear thinkers. We evolved to estimate a distance from the predator or to the prey, and advanced mathematics is only a recent evolutionary addition. This is why it’s so difficult even for a modern man to grasp the power of exponentials. 40 steps in linear progression is just 40 steps away; 40 steps in exponential progression is a cool trillion (with a T) – it will take you 3 times from Earth to the Sun and back to Earth.” –Alex M. Vikoulov, The Syntellect Hypothesis: Five Paradigms of the Mind’s Evolution.

Today is a special day for me. My AI assistant Ava scheduled few hours aside from my otherwise busy daily lineup to relive select childhood and adolescence memories recreated in virtual reality with a help of a newly developed AI technique ‘Re: Live’. Ava is my smart home assistant, too. I can rearrange furniture in any room, for example, just by thinking. Digital landscape wallpaper is changed by Ava by knowing my preferences and sensing my moods.

I still like to sleep in an old-fashioned natural way from time to time, even though it’s now optional with accelerated sleep simulation and other sleep bypassing technologies. So, when I opt to sleep, I like falling asleep and waking up on a virtual cloud projected directly to my consciousness, as most VR experiences are streamed via optogenetics.

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A startup called CogitAI has developed a platform that lets companies use reinforcement learning, the technique that gave AlphaGo mastery of the board game Go.

Gaining experience: AlphaGo, an AI program developed by DeepMind, taught itself to play Go by practicing. It’s practically impossible for a programmer to manually code in the best strategies for winning. Instead, reinforcement learning let the program figure out how to defeat the world’s best human players on its own.

Drug delivery: Reinforcement learning is still an experimental technology, but it is gaining a foothold in industry. DeepMind has talked of using it to optimize the performance of data centers and wind turbines. Amazon recently launched a reinforcement-learning platform, but it is aimed more at researchers and academics. CogitAI’s first commercial customers include those working in robotics for drug manufacturing. Its platform lets the robot figure out the optimal way to process drug orders.

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“Monks don’t discuss the true meaning of the Heart Sutra to worshippers; they just read it like poetry,” Kohei Ogawa, a robotics professor at the University of Osaka who worked on the robot, told The Diplomat. “But this doesn’t work. The monks are like robots.”

Androgynous Android

The Mindar android also bends gender, according to The Diplomat, with its human-like face and chest designed to evoke both male and female characteristics.

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