OEC promoting AI in Africa.
Ranjan KC
Artificial intelligence (AI) is learning more about how to work with (and on) humans. A recent study has shown how AI can learn to identify vulnerabilities in human habits and behaviours and use them to influence human decision-making.
A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.
The algorithm, devised by a scientist at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), applies machine learning, the form of artificial intelligence (AI) that learns from experience, to develop the predictions. “Usually in physics, you make observations, create a theory based on those observations, and then use that theory to predict new observations,” said PPPL physicist Hong Qin, author of a paper detailing the concept in Scientific Reports. “What I’m doing is replacing this process with a type of black box that can produce accurate predictions without using a traditional theory or law.”
Qin (pronounced Chin) created a computer program into which he fed data from past observations of the orbits of Mercury, Venus, Earth, Mars, Jupiter, and the dwarf planet Ceres. This program, along with an additional program known as a “serving algorithm,” then made accurate predictions of the orbits of other planets in the solar system without using Newton’s laws of motion and gravitation. “Essentially, I bypassed all the fundamental ingredients of physics. I go directly from data to data,” Qin said. “There is no law of physics in the middle.”
Researchers at the Max Planck Institute for Intelligent Systems (MPI-IS) and ETH Zürich have recently created HuggieBot 2.0, a robot that can hug users at their request. This robot, set to be presented at the ACM/IEEE International Conference on Human-Robot Interaction (HRI) in March, builds on a previous robotic system created by Alexis E. Block, one of the authors, during her Master’s degree.
57:03 “A tool that would be used for millenia.”
Foresight biotech & health extension group sponsored by 100 plus capital.
The toolset runs with Q-CTRL’s flagship BOULDER OPAL software for developers and R&D teams, automated closed-loop hardware optimization is also trained to obtain new experimental data/results from quantum computers while simultaneously running optimizations for algorithms. It can be used as a standalone tool or in tandem with a machine-learner online optimization package (M-LOOP) that manages quantum experiments autonomously.
You’ve been hoaxed.
The hoax seems harmless enough. A few thousand AI researchers have claimed that computers can read and write literature. They’ve alleged that algorithms can unearth the secret formulas of fiction and film. That Bayesian software can map the plots of memoirs and comic books. That digital brains can pen primitive lyrics1 and short stories—wooden and weird, to be sure, yet evidence that computers are capable of more.
But the hoax is not harmless. If it were possible to build a digital novelist or poetry analyst, then computers would be far more powerful than they are now. They would in fact be the most powerful beings in the history of Earth. Their power would be the power of literature, which although it seems now, in today’s glittering silicon age, to be a rather unimpressive old thing, springs from the same neural root that enables human brains to create, to imagine, to dream up tomorrows. It was the literary fictions of H.G. Wells that sparked Robert Goddard to devise the liquid-fueled rocket, launching the space epoch; and it was poets and playwrights—Homer in The Iliad, Karel Čapek in Rossumovi Univerzální Roboti—who first hatched the notion of a self-propelled metal robot, ushering in the wonder-horror of our modern world of automata.
Platform addressing labor shortage to be released next fiscal year.
TOKYO — Japanese shipbuilder Mitsui E&S Holdings will soon start selling a navigation system that plans routes and allows vessels to dock automatically.
This is part of the company’s push to use state-of-the-art technology to seize on demand for products that address a labor shortage in the shipping industry.
Continue reading “Autonomous ships powered by Mitsui E&S tech can dock at ports” »
Circa 2018 o, o.
When it comes to the future of transportation, there is no shortage of intriguing and possibly crazy vehicle concepts. By 2100, commuters could be zipping around in passenger pods that fly through vacuum sealed tubes at 700 mph, soaring through the skies in autonomous personal rotorcraft that look like quadcopter drones, blasting off in rockets that fly from city to city, or even boarding commercial jetliners to fly more than five times the speed of sound.
But as far as wild transportation ideas go, Akka Technologies’ flying train might take the cake.
The mechanisms that allow the computer to learn are directly embedded in its hardware structure—no extra AI software required.
