Is there anyone working on either a decentralized deep learning algorithm, or a consumer facing app that uses AI to help people diagnose themselves? My wife was just diagnosed with CVID a couple of weeks ago, it's like AIDS except it's not Aquired, it's part genetic and part environmental - but it's a rare primary immunodeficiency disease. She's had this her entire life. She was misdiagnosed 3 or 4 times, most recently she was eating gluten free for the last 8 years because she was diagnosed as celiac disease. She's lost most of her hair over the last 6 months and has been in the hospital 3-4 times this year.

Washington state sued President Trump on Monday over his decision to let more employers claiming religious or moral objections opt out of providing no-cost birth control to women. Gen. Bob Ferguson, who successfully sued to block Trump's initial travel ban early this year, announced his latest lawsuit on Monday, three days after the new rules were issued. Other Democratic-leaning states, including Massachusetts and California, sued on Friday, as did the American Civil Liberties Union. Trump's policy is designed to roll back parts of former President Obama's healthcare law, which required that most companies cover birth control as preventive care for women, at no additional cost. Among those Food and Drug Administration-approved methods is the morning-after pill, which some religious conservatives call an abortion drug even though scientists say it has no effect on pregnant women. The Trump administration touted the new policy as a victory for religious freedom, and the announcement thrilled the social conservatives who make up a key part of the president's supporters.

Neither snow nor rain nor heat nor gloom of night stays these couriers from the swift completion of their appointed rounds--and if the United States Postal Service has its way, the robots won't stop them, either. Yes, the agency you know best for bringing you junk mail addressed to whomever lived in your apartment before you has caught robofever. It plans to put semiautonomous mail trucks into service in just seven years, and it seems to think it can pull off a shift away from human driving without shedding mail carrier jobs. That's all according to the postal service's Office of the Inspector General, which oversees the agency and last week released a report on its plans to work autonomy into its 228,000-vehicle fleet. Those plans are already in motion: The post office has partnered with the University of Michigan to build what it's calling an Autonomous Rural Delivery Vehicle, which it wants to launch on 28,000 rural routes nationwide as early as 2025.

If you're an experienced programmer interested in crunching data, this book will get you started with machine learning--a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research.Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a "whom to follow" recommendation system from Twitter data

"AI is going to be more impactful than the invention of the personal computer and the spread of mobile phones into your pocket," AI expert and Google Senior Fellow Jeff Dean told a TEDx Los Angeles crowd last December. So-called machine learning – where computers find their own insights without being directly programmed to do so – is set to fundamentally change the relationship between humans and robots. A reality that is both exhilarating and terrifying. As millions ponder whether AI will replace their jobs, Tesla CEO Elon Musk is warning AI could cause World War III, responding to Russian President Vladimir Putin's comment that AI's eventual leader "will become the ruler of the world." Against that backdrop, an AI arms race has been triggered between tech Goliaths such as Apple, Amazon and Google. McKinsey Global Institute, a leading think tank, estimates the tech giants invested as much as US$30 billion in artificial intelligence last year in a combination of R&D spending and startup acquisitions. McKinsey estimates venture capitalists and private equity investors plowed another US$9 billion into AI startups, particularly those focused on machine learning.

Magically seeing around corners to spot moving people or objects may not rank first in most people's superhero daydreams. But MIT researchers have shown how they could someday bestow that superpower upon anyone with a smartphone. Their secret to peeking around corners is detecting slight differences in light patterns reflected from moving objects or people. Those reflected light patterns form subtle variations in the shadowy area near the base of each corner. MIT's Computer Science and Artificial Intelligence Lab (CSAIL) created simple software that can detect fuzzy pattern variations in the pixels of a 2-D video--taken by a basic consumer camera or even a smartphone camera--and reconstruct the speed and trajectory of moving objects by stitching together multiple, distinct 1-D images.

General Motors just took another step to prepare itself for the future of driving, acquiring a startup that makes what could prove a key technology to unlock self-driving cars for use in fleets. Cruise, GM's self-driving car startup, will now source its lidar laser sensors from Strobe, a Pasadena-based startup that the Detroit automaker just acquired. GM did not disclose the terms of the deal, which it announced Monday morning, but it's a potentially crucial move in its plan to deploy large fleets of robocars, given the importance of the sensor, and the difficulty of making it not just robust and reliable, but cost effective. "Our mission is to remove the driver from the vehicle and ultimately deploy these vehicles at massive scale," says Cruise founder and CEO Kyle Vogt. "Lidar sensors have been one of the bottlenecks."

SonicWall works with 18,000 partners, and CEO Bill Conner believes collaboration is central in cybersecurity. The cybersecurity industry is currently abuzz with talk of automation, principally the central role it will play in handling the mass of threats besieging organisations daily. Automation might be a current trend, but this does not mean it is an entirely new phenomenon, as some organisations have been repelling attacks with machine learning for years. One such company is internet security provider, SonicWall, and CBR spoke to the CEO of the company, Bill Conner, to gain insight on how it is taking on the threat landscape and keeping customers safe. Mr Conner said: "We have focussed on how to use software to isolate segments in your network; our firewalls have been using machine learning for over ten years. A malware cocktail is the easiest way to think of it, these three different technical engines are looking at every file that is unknown, and it is going to block that file from going in until it can characterise it and give it a green light in real time, it is all automated."

The Office of Naval Research has announced plans to partner with the Walter Reed National Military Medical Center, the Naval Research Laboratory, and several universities to develop a new form of leg prostheses. As well as being more comfortable, these smart artificial limbs will help users avoid the risk of infection. The Monitoring OsseoIntegrated Prosthesis (MOIP) project hinges upon a titanium fixture that is surgically implanted into the recipient's femur. Bone generates around the point where it's inserted, so only the small connection point juts out. An artificial limb can be attached or detached from this connector at will.

Twenty-five years ago, Nikos Papanikolopoulos started his work in the University of Minnesota's Artificial Intelligence, Robotics and Vision lab. For the first five years, the lab researched and developed robotics that were largely unheard of. In 1997, his lab had its landmark moment, when the U.S. Military used his lab's Scout robot to survey dangerous war zones in lieu of humans. It built the lab's reputation into a national standout. Today, Papanikolopoulos and his lab are part of a rapidly emerging field of science fusing yesterday's unbelievable with today's uncharted -- artificial intelligence.