Lifeboat Foundation

“We should not start from steam and railways, or the old technologies—that is already done,” Assefa argues.

That makes sense to academics like Singh — though he also cautions that political forces are often slow to see the bigger picture. There is definitely an opportunity for developing countries, he says. “But any time we have a technological revolution, the political institutions have to catch up.”

A 2017 report (pdf) by the World Wide Web Foundation suggested that Ethiopian “intelligence services are using machine intelligence techniques to break encryption and find patterns in social media posts that can be used to identify dissidents.” And while mobile phone and internet penetration in Ethiopia is comparatively poor—a situation made worst amid widespread anti-government protests, which prompted an internet crackdown in February — the report added that government surveillance and oppression could increase as the use of smartphones expands.

Continue reading “Futurists in Ethiopia are betting on artificial intelligence to drive development” »

LG will build its next artificial intelligence (AI) research lab in Toronto, it announced Wednesday.

The South Korean electronics company said the Canadian lab is an extension of its newly expanded Silicon Valley AI Lab in Santa Clara, California. It also has AI labs in South Korea, India and Russia.

“Early implementations of AI in connected devices today are setting the stage for tomorrow’s smart cities, smart homes, smart businesses and smart devices, all with capabilities that no one has even dreamed of yet.” said LG President and Chief Technology Officer Il-pyung Park.

These are literally tiny metallic robots capable of attacking diseases at the cellular level. It’s mind-blowing.

It’s also the result of where we are in the current technology landscape. Scientists, engineers and software specialists are coming together to solve problems that most laypeople think are impossible.

We’re at the point where AI can take on mundane household tasks – if slowly. And the implications of this technology go far beyond folding laundry.

A reinforcement learning algorithm allows Dactyl to learn physical tasks by practicing them in a virtual-reality environment.

This robot was designed for harvesting vegetables inside greenhouses.

This robot cleans all of the glass surfaces in your home via ECOVACS ROBOTICS.

Space agencies have successfully studied asteroid and comets up close on several occasions, but capturing one for mining is also in the works. A group of Chinese scientists is looking to go a step further. Their ambitious plan involves not just capturing an asteroid, but bringing it down to the surface of Earth for study and mining.

This does sound pretty crazy on the face of it, but researchers from the National Space Science Center of the Chinese Academy of Sciences say it’s feasible. Researcher Li Mingtao and his team presented the idea at a conference to explore ideas for future technology in Shenzhen. Li says that the mission could focus on asteroids that cross Earth’s orbit, which could make them a potential hazard in the future. The Chinese plan could turn a hazard into a new source of rare materials.

The asteroids targeted by this project would be on the small side — probably just a few hundred tons. The first step is to send a fleet of small robotic probes to intercept the space rock. Then, they would deploy a “bag” of some sort that covers the asteroid, allowing the robots to slowly alter its course and steer it back to Earth.

Continue reading “Chinese Scientists Want to Capture a Small Asteroid and Land it on Earth” »

Companies like to flaunt their use of artificial intelligence to the point where it’s virtually meaningless, but the truth is that AI as we know it is still quite dumb. While it can generate useful results, it can’t explain why it produced those results in meaningful terms, or adapt to ever-evolving situations. DARPA thinks it can move AI forward, though. It’s launching an Artificial Intelligence Exploration program that will invest in new AI concepts, including “third wave” AI with contextual adaptation and an ability to explain its decisions in ways that make sense. If it identified a cat, for instance, it could explain that it detected fur, paws and whiskers in a familiar cat shape.

Importantly, DARPA also hopes to step up the pace. It’s promising “streamlined” processes that will lead to projects starting three months after a funding opportunity shows up, with feasibility becoming clear about 18 months after a team wins its contract. You might not have to wait several years or more just to witness an AI breakthrough.

Continue reading “DARPA pushes for AI that can explain its decisions” »