At CogX London 2018 (11-12 June), we’ll be having a keynote from Riccardo Sabatini (Orionis Biosciences) on Genome-Scale Drug Design and a panel on whether AI can cure cancer chaired by Dr Jack Kreindler. Grab your ticket here.
Read on to learn about cleaning code with AI, predictive policing, Israeli AI startups, and more.
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Zurich-based DeepCode claims that their system — essentially a tool for analysing and improving code — is like Grammarly for programmers. The system, which uses a corpus of 250,000 rules, reads your public and private GitHub repositories and tells you how to fix problems, remain compatible and generally improve your programs.
“We built a platform that understands the intent of the code,” said founder and CEO Boris Paskalev. “We autonomously understand millions of repositories and note the changes developers are making. Then we train our AI engine with those changes and can provide unique suggestions to every single line of code analysed by our platform.”
Research advances over the past five years in artificial intelligence and machine learning have caused organisations of all kinds to look for ways to apply these powerful algorithms and techniques in their businesses. Eventually, AI could have the same impact that electricity had across all industries a hundred years ago by transforming industries, displacing existing jobs and creating new ones, and requiring massive policy changes.
In this episode of Greymatter, Greylock’s Sarah Guo and Dr Andrew Ng, one of the foremost leaders in AI discuss AI and ML techniques being used in industry today, areas of ongoing research, how companies can leverage this technology, and the broader impact on the future workforce.
Jeff Brantingham is as close as it gets to putting a face on the controversial practice of “predictive policing.” Over the past decade, the University of California-Los Angeles anthropology professor adapted his Pentagon-funded research in forecasting battlefield casualties in Iraq to predicting crime for American police departments, patenting his research and founding a for-profit company named PredPol, LLC.
PredPol quickly became one of the market leaders in the nascent field of crime prediction around 2012, but also came under fire from activists and civil libertarians who argued the firm provided a sort of “tech-washing” for racially biased, ineffective policing methods. Now, Brantingham is using military research funding for another tech and policing collaboration with potentially damaging repercussions: using machine learning, the Los Angeles Police Department’s criminal data, and an outdated gang territory map to automate the classification of “gang-related” crimes. Check out this article for more.
Shuly Galili (Upwest Labs) writes about how beyond “sexy” AI applications in robotics and medical imaging, there is a disproportionate focus, especially in the US, on using AI to optimise digital processes in internet-based industries like marketing, commerce, and finance.
The [Israeli] advantage is perhaps most evident in “behind the scenes” industries like mining and oil refining, which are critical to energy production around the globe and require substantial expertise to be conducted safely and efficiently. They are also historically slow to innovate since both require so much specialised equipment and expertise. But with the emergence of AI and machine learning, even cumbersome industries like these can harness their own data to streamline processes.
A recently developed neural network is capable of captioning a series of images in a method which imitates human storytelling. Rather than simply identifying and describing objects, the AI makes inferences about what’s happening in a picture. And it’s eerily good at its job.
The team, researchers from UC Santa Barbara, developed the AI to determine if a neural network could be used to deduce novel, abstract stories from images (check out the whitepaper here). The implications for a storytelling AI are exciting. As developers figure out how to make the outputs generated by a neural network better align with human-thinking, we’ll begin to see far-reaching advantages to plain language processors.
An AI tool that helps emergency call dispatchers detect a heart attack situation is set for wider testing in Europe. The Corti digital assistant, made by a company of the same name based in Copenhagen, Denmark, listens in on emergency calls and picks up on cues like breathing patterns, tone of voice and background noises to provide dispatchers with recommendations in real time.
EENA said on Wednesday that it’s teamed with Corti’s creator to bring the system to four new sites throughout Europe for testing. Impressive results in Copenhagen, where Corti is already on the job, led to the expanded tests, which will take place from September 2018 to April 2019.
A group of Japanese roboticists have created the J-deite Ride, a 12-foot tall humanoid robot that transforms into a working car, much like Bumblebee, Jazz, or the leader of the Autobots, Optimus Prime.
Last Thursday, just before 3 p.m., things began stirring inside the truck-size box that sat among melting piles of snow at the airport in Fairbanks, Alaska. Inside, software ran checks on instruments to measure atmospheric temperature, humidity, and pressure; a tray slid into place; and a nozzle began filling a large balloon with gas. Finally, the roof of the box yawned open and a weather balloon took off into the sunny afternoon, instruments dangling. The entire launch was triggered with the touch of a button, 5 kilometers away at an office of the National Weather Service (NWS).
The flight was smooth, just one of hundreds of twice-daily balloon launches around the world that radio back crucial data for weather forecasts. But most of those balloons are launched by people; the robotic launchers, which are rolling out across Alaska, are proving to be controversial. NWS says the autolaunchers will save money and free up staff to work on more pressing matters. But representatives of the employee union question their reliability, and say they will hasten the end of Alaska’s remote weather offices, where forecasting duties and hours have already been slashed. “The autolauncher is just another nail in their coffin,” says Kimberly Vaughan, a union steward in Juneau.
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