Lifeboat Foundation

Not everything is knowable. In a world where it seems like artificial intelligence and machine learning can figure out just about anything, that might seem like heresy – but it’s true.

At least, that’s the case according to a new international study by a team of mathematicians and AI researchers, who discovered that despite the seemingly boundless potential of machine learning, even the cleverest algorithms are nonetheless bound by the constraints of mathematics.

“The advantages of mathematics, however, sometimes come with a cost… in a nutshell… not everything is provable,” the researchers, led by first author and computer scientist Shai Ben-David from the University of Waterloo, write in their paper.

Circa 2019

Technology has long been helping to hack world hunger. These days most conversations about tech’s impact on any sector of the economy inevitably involves artificial intelligence—sophisticated software that allows machines to make decisions and even predictions in ways similar to humans. Food waste tech is no different.

Continue reading “Food Waste Is a Serious Problem. AI Is Trying to Solve It” »

IBM and the University of Tokyo will form the Japan – IBM Quantum Partnership, a broad national partnership framework in which other universities, industry, and government can engage. The partnership will have three tracks of engagement: one focused on the development of quantum applications with industry; another on quantum computing system technology development; and the third focused on advancing the state of quantum science and education.

Under the agreement, an IBM Q System One, owned and operated by IBM, will be installed in an IBM facility in Japan. It will be the first installation of its kind in the region and only the third in the world following the United States and Germany. The Q System One will be used to advance research in quantum algorithms, applications and software, with the goal of developing the first practical applications of quantum computing.

IBM and the University of Tokyo will also create a first-of-a-kind quantum system technology center for the development of hardware components and technologies that will be used in next generation quantum computers. The center will include a laboratory facility to develop and test novel hardware components for quantum computing, including advanced cryogenic and microwave test capabilities.

Editor’s note: Geoff Woollacott is Senior Strategy Consultant and Principal Analyst at Technology Business Research. IBM and NC State are coperating on quantum computing development.

HAMPTON, N.H. – JPMorgan Chase announced on Jan. 22 the hiring of Marco Pistoia from IBM. A 24-year IBM employee with numerous patents to his credit, Pistoia most recently led an IBM team responsible for quantum computing algorithms. Algorithm development will be key to developing soundly engineered quantum computing systems that can deliver the business outcomes enterprises seek at a faster and more accurate pace than current classical computing systems.

A senior hire into a flagship enterprise in the financial services industry is the proverbial canary in the coal mine, as TBR believes such actions suggest our prediction of quantum achieving economic advantage by 2021 remains on target. Quantum executives discuss the three pillars of quantum commercialization as being:

Grey hair seems to be driven by stem cell exhaustion, one of the suggested reasons we age. One researcher believes we can turn back the clock on greying hair.

Melissa Harris’s research points to a new paradigm for hair graying. “We thought that once you go gray the stem cells are all lost — there’s no going back,” Harris said. “But presumably they can be reactivated.”

Continue reading “Going gray isn’t a one-way trip? UAB researcher exploring ways to ‘rejuvenate’ gray hairs” »

Artificial intelligence helped detect an outbreak of the coronavirus one week before the CDC issued a warning.

The BlueDot algorithm scours news reports and airline ticketing data to predict the spread of diseases like those linked to the flu outbreak in China.

The algorithm lets robots find the shortest route in unfamiliar environments, opening the door to robots that can work inside homes and offices.

The news: A team at Facebook AI has created a reinforcement learning algorithm that lets a robot find its way in an unfamiliar environment without using a map. Using just a depth-sensing camera, GPS, and compass data, the algorithm gets a robot to its goal 99.9% of the time along a route that is very close to the shortest possible path, which means no wrong turns, no backtracking, and no exploration. This is a big improvement over previous best efforts.

Why it matters: Mapless route-finding is essential for next-gen robots like autonomous delivery drones or robots that work inside homes and offices. Some of the best robots available today, such as Spot and Atlas made by Boston Dynamics and Digit made by Agility Robotics, are packed with sensors that make them pretty good at keeping their balance and avoiding obstacles. But if you dropped them off at an unfamiliar street corner and left them to find their way home, they’d be screwed. While Facebook’s algorithm does not yet handle outside environments, it is a promising step in that direction and could probably be adapted to urban spaces.

A method and apparatus for ameliorating the aging process and the effects of aging and maintaining the integrity of health is provided. The method includes subjecting biological systems to alternating and steady magnetic fields having flux densities ranging from 10^-6 gauss to 10^-20 gauss and frequencies from 0 Hertz to 10¹⁴ Hertz. The calculation is made with reference to the equation mc² =Bvlq, where m=mass; c=speed of light; B=magnetic flux density; v=inertial velocity of the mass contained in l; l=length of the conductive body; q=unity. The process begins by targeting the larger targets first and then diminishing the field magnitude slowly and incrementally according to the targets. The frequency when AC is indicated is calculated with the cyclotron resonance formula, f_c =qB/(2πm). The apparatus includes a specially constructed pool or tub for generating the specific magnetic flux necessary for treatment. Orientation of the patient with reference to North, South, East and West is varied. The earth’s position in relation to the sun is taken into account. The patient may be in an upright, prone or swimming position depending on the specific treatment scheme.

A new Facebook algorithm could lead to safer and more efficient bots.