Lifeboat Foundation

Nearly 2,400 years after his death, archaeologists believe they’ve finally found the tomb of Aristotle. Researchers made the discovery during a 20-year dig in the ancient Greek city of Stagira, reports Atlas Obscura.

Aristotle was born there in 384 BC, but he died in a different city, Chalcis, about 50 miles north of Athens. Literary sources mention that Aristotle’s remains were moved to Stagira after his death, but his burial site has been a topic of debate for many years, the International Business Times reports.

The tomb in Stagira believed to be the philosopher’s is a 32-foot-tall dome with a marble floor and views of the entire city. “The thing is, the archaeologist data is in fine accordance with historical sources,” archaeologist Konstantinos Sismanidis tells CNN.

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Perhaps it’s serendipitous, then, that the machines have finally arrived. Truly smart, truly impressive robots and machine learning algorithms that may help usher in a new Green Revolution to keep humans fed on an increasingly mercurial planet. Think satellites that automatically detect drought patterns, tractors that eyeball plants and kill the sick ones, and an AI-powered smartphone app that can tell a farmer what disease has crippled their crop.

Forget scarecrows. The future of agriculture is in the hands of the machines.

A Digital Green Thumb

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And it’s not made of cardboard.

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Say ‘Goodbye’ to Cracks, Self-Healing Concrete Has Arrived.

Fujitsu is building a robot that uses 3D laser sensors to detect motion without the need for athletes to wear any special suits. The robot will be ready for the Olympics in 2020 in Japan, and will precisely score gymnasts based on measurements taken by the sensors.

Japan is making sure the 2020 Olympics will be a technological festivity. They even may be spending a staggering $8.1 million for an artificial meteor shower.

In addition to the “fireworks,” Fujitsu, in partnership with the Japan Gymnastics Association, is developing the ultimate judge to end all biases in the Olympics: a robot programmed to precisely score gymnasts at the Olympics with absolute fairness by using 3D laser sensors capable of measuring 76,800 points of motion per frame up to 30 times per second.

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This implant turns heartbeat into electricity.

Editor’s note: This is a guest post by Matt O’Brien.

As the hype and pessimism around blockchain technology converge toward reality over the next several years, one certainty emerging among Wall Street and Main Street traders is that advancements in platform technology will profoundly change how commonly used securities known as derivative contracts will be traded. The distributed ledgers inconceivable just a couple of years ago are on the precipice of ushering in a new era of innovative financial engineering and precision in risk management.

Wall Street firms are beginning to tinker with blockchain and smart contract technology that will allow buyers, sellers and central clearing houses of derivative trades to share information, such as KYC (Know Your Customer), in real time across various distributed ledger platforms unleashing incredible efficiencies.

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An Israeli medical imaging company has signed a deal with a Utah-based healthcare provider that could change the way we diagnose certain conditions. Zebra Medical Imaging is teaming up with Intermountain to work on a neural network that will compare fresh X-rays with the “millions” stored in its own database. The eventual aim of the project is to offer up suggestions to radiographers and other medical professionals and eliminate costly misdiagnoses.

For instance, let’s imagine that you’ve gone to hospital for some unknown condition and you get an X-ray. Rather than handing the slide to a doctor, who could miss a small shadow or other minor clue, the image would be handed to the computer. It would use deep learning to trawl an anonymized patient database looking for any anomalies that you might be suffering from. The current system will work on bone health, cardiovascular analysis and lung conditions, although who knows where the possibilities will end.

As deep learning technology gets more powerful, smaller and significantly cheaper, the potential for AI to assist doctors becomes more realistic. IBM has spent the last few years pushing Watson, its homegrown supercomputer, as a system to aid decision making for patients. At the same time, companies like LG are trying to shrink medical imaging technology to end the days of bulky hospital equipment being available for a chosen few. All in all, the idea of a medical tricorder is going from fantastical to plausible in less time than you’d expect.

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