Lifeboat Foundation

Unlike in other years, this year’s Microsoft Build developer conference is not packed with huge surprises — but there’s one announcement that will surely make developers’ ears perk up: The company is now using OpenAI’s massive GPT-3 natural language model in its no-code/low-code Power Apps service to translate spoken text into code in its recently announced Power Fx language.

Now don’t get carried away. You’re not going to develop the next TikTok while only using natural language. Instead, what Microsoft is doing here is taking some of the low-code aspects of a tool like Power Apps and using AI to essentially turn those into no-code experiences, too. For now, the focus here is on Power Apps formulas, which despite the low-code nature of the service, is something you’ll have to write sooner or later if you want to build an app of any sophistication.

“Using an advanced AI model like this can help our low-code tools become even more widely available to an even bigger audience by truly becoming what we call no code,” said Charles Lamanna, corporate vice president for Microsoft’s low-code application platform.

Circa 2016

From driverless buses to an AI council worker called Amelia, municipal services are becoming increasingly automated. But what does that mean for the future of our cities – and the jobs market?

Robots and artificial intelligence will replace workers on Australia’s first fully automated farm created at a cost of $20 million.

Most computer systems are designed to store and manipulate information, such as documents, images, audio files and other data. While conventional computers are programmed to perform specific operations on structured data, emerging neuro-inspired systems can learn to solve tasks more adaptively, without having to be engineered to carry out a set type of operations.

Researchers at University of Pennsylvania and University of California recently trained a recurrent neural network (RNN) to adapt its representation of complex information based only on local data examples. In a paper published in Nature Machine Intelligence, they introduced this RNN and outlined the key learning mechanism underpinning its functioning.

Continue reading “A recurrent neural network that infers the global temporal structure based on local examples” »

Graphics-chip maker Nvidia announced its latest gaming processors and artificial intelligence initiatives at Computex. But Nvidia stock fell.

Welcome to the rapidly advancing world of autonomous weapons — the cheap, highly effective systems that are revolutionizing militaries around the world. These new unmanned platforms can make U.S. forces much safer, at far lower cost than aircraft carriers and fighter jets. But beware: They’re being deployed by our potential adversaries faster than the Pentagon can keep up, and they increase the risk of conflict by making it easier and less bloody for the attacker.

Artificial intelligence and drones are transforming the battlefield into something that looks more like a video game than hand-to-hand combat. It could save lives — but also increase the risk of combat.

“The Russian military is more technologically advanced than the U.S. realized and is quickly developing artificial intelligence capabilities to gain battlefield information advantage, an expansive new report commissioned by the Pentagon warned.”

Need more money for AI research.

A new report written for the Pentagon warns of more technologically advanced Russian force that’s focused on winning information advantage over the United States.

Continue reading “A warning to DoD: Russia advances quicker than expected on AI, battlefield tech” »

Self-driving cars are taking longer to come to market than many expected. In fact, it’s looking like they may be outpaced by pilotless planes and driverless trucks. A truck isn’t much different than a car, but self-driving technology is already coming in handy on long-haul trucking routes, as a recent cross-country trip showed.

Last month TuSimple, a transportation company focused on self-driving technology for heavy-duty trucks, shipped a truckload of watermelons from Arizona to Oklahoma using the truck’s autonomous system for over 80 percent of the journey. The starting point was Nogales, at Arizon’s southern end right on the border with Mexico. A human driver took the wheel for the first 60 miles or so, from Nogales to Tucson—but from there the truck went on auto-pilot, and not just for a little while. It drove itself all the way to Dallas, 950 miles to the east (there was a human safety driver on board the whole time, but not controlling the truck).

If you look at the most direct route, it’s pretty straightforward: there’s one fork where I-10 splits off and merges with I-20, but other than that, it’s straight on through ‘til morning. Literally, in this case; the truck drove the route in 14 hours and 6 minutes, as compared to the given estimate of the average time it takes a human to drive the same route—24 hours and 6 minutes.

Instacart wants to replace army of gig shoppers with robots.

(Bloomberg) — Instacart Inc. has an audacious plan to replace its army of gig shoppers with robots—part of a long-term strategy to cut costs and put its relationship with supermarket chains on a sustainable footing.