Listen, you're kinda spooked about the rise of artificial intelligence, and I get that. It's a tremendously powerful technology that promises to transform the very nature of work, inevitably leading to the automation of certain white-collar jobs. But AI also promises to make human labor smarter and more efficient, even something as traditional as small-scale farming. To that end, researchers have developed a smartphone-based program that can automatically detect diseases in the cassava plant--the most widely grown root crop on Earth--with darn near 100 percent accuracy. The most impressive bit about the technology is that the neural network that powers it runs entirely on the smartphone, no cloud computing or hulking processors required, as the researchers detail in a preprint paper to be published in Frontiers in Plant Science.

With the crisis in Puerto Rico unfolding--and expanding--daily in the wake of Hurricane Maria, the scale of the devastation is coming into horrifying focus. It's not just that the American territory has been, by many accounts, "destroyed." It's that crucial relief supplies aren't reaching the island. "We are dying here," San Juan Mayor Carmen Yulín Crus said Friday. Getting food, water, and medicine to and throughout Puerto Rico is a "logistical nightmare," former FEMA boss Michael Brown told CNBC.

Knowing how to write high quality software -- the days of one team writing throwaway models and another team implementing them in production are slowly coming to an end. With programming languages like Python and R and their packages making it easy to work with data and models, it is reasonable to expect a data scientist or machine learning engineer to attain a high level of programming proficiency and understand the basics of system design. While "big data" is a term used way too often, it is true that the cost of data storage is on a dramatic downward trend. This means that there are more and more data sets from different domains to work with and apply models to. And yes, knowing something about at least one of the popular areas of the field that have gotten traction lately -- deep learning for computer vision and perception, recommendation engines, NLP -- would be a great thing once you have the fundamental understanding and technical proficiency.

Pete Warden wants you to throw your voice-recognition hardware in the trash. And then buy more--and more, and more. This Google engineer is on a quest to make voice recognition dirt cheap. His idea is simple enough: cut down the neural networks that are usually used to process sound until they're efficient enough to run on cheap, lightweight chips. "What I want is a 50-cent chip that can do simple voice recognition and run for a year on a coin battery," he explained during last week's Arm Research Summit in Cambridge, U.K. "We're not there yet … but I really think this is doable with even the current technology that we have now."

I'm standing in what is soon to be the center of the world, or is perhaps just a very large room on the seventh floor of a gleaming tower in downtown Toronto. Showing me around is Jordan Jacobs, who cofounded this place: the nascent Vector Institute, which opens its doors this fall and which is aiming to become the global epicenter of artificial intelligence. We're in Toronto because Geoffrey Hinton is in Toronto, and Geoffrey Hinton is the father of "deep learning," the technique behind the current excitement about AI. "In 30 years we're going to look back and say Geoff is Einstein--of AI, deep learning, the thing that we're calling AI," Jacobs says. Of the AI researchers at the top of the field, Hinton has more citations than the next three combined. His students and postdocs have gone on to run the AI labs at Apple, Facebook, and OpenAI; Hinton himself is a lead scientist on the Google Brain AI team. The Vector Institute, this monument to the ascent of Hinton's ideas, is a research center where companies from around the U.S. and Canada--like Google, and Uber, and Nvidia--will sponsor efforts to commercialize AI technologies. Money has poured in faster than Jacobs could ask for it; two of his cofounders surveyed companies in the Toronto area, and the demand for AI experts ended up being 10 times what Canada produces every year. Vector is in a sense ground zero for the now-worldwide attempt to mobilize around deep learning: to cash in on the technique, to teach it, to refine and apply it. Data centers are being built, towers are being filled with startups, a whole generation of students is going into the field.

Google is expected to announce some new devices next week on Oct. 4, including a smaller Google Home Mini. However, it looks like Google is also working on a different type of Google Home speaker that will apparently offer a high-end audio experience. Google is said to be developing a "premium" Google Home smart speaker. This version of the device will apparently be equipped with a set of stereo speakers and has the tentative name of Google Home "Max," according to 9To5Google. The idea behind the Google Home Max is that it will be the company's way of competing with the likes of the Sonos Play:3, which is able to deliver stereo sound with deeper bass for an immersive listening experience.

U.S. airstrikes across eastern Syria have hobbled Islamic State's deadly drone program, U.S. officials say, but commanders warn that proliferation of the inexpensive technology may allow terrorist groups to launch other aerial attacks around the globe. U.S.-backed fighters have reported small drones flown by the militants seven times this month in Iraq and Syria as Islamic State struggles to maintain the crumbling borders of its self-declared caliphate, according to the U.S. military task force in Baghdad. That's down from more than 60 drone sightings earlier this year, especially during the battle for the Iraqi city of Mosul, which was liberated in early July. Dozens of Iraqis were killed or wounded by 40-millimeter grenades and light explosives dropped from remote-controlled devices that one U.S. commander likened to killer bees. The use of camera-equipped quadcopters and model-plane-sized drones, sometimes flying in swarms, had become a signature tactic of Islamic State, much as the growing U.S. fleet of large missile firing Predator and Reaper drones have changed the face of modern warfare.

NEW YORK (Reuters) - Microsoft Corp Chief Executive Officer Satya Nadella said on Wednesday the company's search engine, Bing, will focus on expanding in the PC search market after losing its deal with Apple Inc's Siri.

Roboticists worldwide are spending an obscene amount of time and effort trying to teach large humanoid robots how to not fall over. We rejoice every time there is even the smallest incremental bit of progress towards success, because not falling over is super hard, especially if you want your robot to be doing something useful. And even though some large humanoid robots can occasionally survive falling over, most of them don't enjoy it very much. Led by Kei Okada and Masayuki Inaba, a team from the University of Tokyo and Kawasaki Heavy Industries is working on their own life-sized humanoid robot, and they've come up with a new strategy for not worrying about falls: not worrying about falls. Instead, they've built their robot from the ground up with an armored structure that makes it totally okay with falling over and getting right back up again.