When I spoke to Tasha Hedstrom this winter, she had been sober for more than 61 days. After struggling with opioid addiction for 15 years, Hedstrom is taking Vivitrol, a drug that blocks the pleasurable effects of opioids and reduces cravings.
The $2.6 trillion logistics industry is primed for digital disruption. The shift is being driven by numerous factors, including overwhelming complexity in the supply chain, understanding the importance of data intelligence over economies of scale, and acknowledgement that existing technologies are insufficient.
When a poker-playing AI program developed at Carnegie Mellon university challenged a group of machine learning-savvy engineers and investors in China, the results were the same as when the software went up against professional card players: it beat its human competition like a drum.
Hackr.io has launched machine learning and artificial intelligence course categories for the programming community. The courses include free as well as video-based options.
Researchers at Rice University have developed a new method for interior navigational location detection using existing sensors in mobile devices. While GPS navigation works sufficiently in the open, it falters under poor signals that quickly deplete battery life when in large indoor spaces such as office complexes or shopping malls.
Inspired by Wired articles by Oren Etzioni and Joe Lonsdale titled "Deep Learning Isn't a Dangerous Magic Genie. It's Just Math" and "AI and Robots Will Take Our Jobs - But Better Ones Will Emerge for Us," I wanted to share six quick - and down-to-earth - thoughts about artificial intelligence.
While deep learning racks up the likes among the big data crowd, a potentially bigger phenomenon is the emergence of extremely simple machine learning models that do not require sophisticated technical and mathematical skills, or what machine learning expert Ted Dunning calls "cheesy and cheap machine learning," or simply "cheap learning."
Sisense is adding machine learning algorithms to analyze patterns in specific sets of data within a BI app that doesn't require data to be exported.
Over the last decade, Mexican drug cartels have been fighting each other-and corrupt police and military units-for control of the lucrative drug trade, plunging the country into chaos. Outsiders might think of Mexico as sunny and tequila-soaked, but beyond the beach resorts of Cancun and Mazatlan there hides a grimmer tale: levels of murder, rape, and kidnapping are hitting levels rarely seen outside hotspots in Africa, Asia, and South America.
"Artificial Intelligence, deep learning, machine intelligence-whatever you're doing if you don't understand it-learn it. Because otherwise you're going to be a dinosaur within three years." - Mark Cuban If you work in marketing, chances are you're hearing a lot about machine learning these days.
While it's true that artificial intelligence and computer-based algorithms are making their way into both the lab and clinical practice, the adoption of these new technologies will not replace the work of the researchers themselves. On the contrary: it'll enable them to become more effective than ever before.
Edge Computing and Serverless are set to redefine the DevOps processes to deal with Machine Learning models. While the heavy lifting for ML will be done in the cloud, the edge layer will simplify the deployment experience and Serverless will streamline the developer experience.
By Jeff Sanford Toronto, Ontario -- April 15, 2017 -- This week's Autonomous Report digs into the upcoming AutoDrive challenge, a three-year competition between eight universities working on self-driving tech; a Ford exec who says autonomous vehicles (AVs) will be ready in five years, but it will be another decade before the public can buy them; how Cadillac's autonomous tech has caught up to Tesla's and much, much more!
Water-Gen Ltd., an Israeli company whose technology captures humidity in order to make drinking water out of air, is not likely to experience the cash-flow squeeze that afflicts many fast-growing companies. That's because Russian-Israeli entrepreneur and billionaire Michael Mirilashvili, who is also the vice president of the World Jewish Congress, bought control of the company last summer, and because it has high-profile advocates.
Imagine yourself as a leading researcher. How many academic papers do you think you can read in a week? In a good week, with no other urgent work or distractions, even the best could probably get through about ten.
Kieran O'Neill, CEO of London fashion startup Thread, is building a new way of shopping for clothes. "We went to Liberty for a bit and I went to the men's section," O'Neill said in an interview at Thread's London office.
An AI called Lengpudashi, the latest Poker machine from Carnegie Mellon University, has comprehensively beaten a six-man team led by World Series champion Alan Du to win $792,327 in virtual chips in 36,000 hands over 5 days. Lengpudashi, whose name means "cold poker master", is the latest creation of CMU professor Tuomas Sandholm and Noam Brown his PhD student.
Nope, you can't buy it. The Study Watch is a new tool for investigative medicine.
The problem? Picking up the pace If startups are speedboats, big businesses are cruise ships. This is how Kent Bradley, founder of BTN Advisors, describes the players in healthcare innovation. The speedboat is agile and entrepreneurial, but can only fit so many people and has only so much gas.
A cute, robotic language tutor called Musio, has made it from crowdfunding campaign to full-fledged product with a debut in stores this week in Japan. Priced at JPY 98,000 (about US $900), Musio is now sold online through SoftBank's marketplace and Amazon Japan, and through a handful of brick-and-mortars stores.
Bryson Koehler is the chief technology officer of IBM Watson and IBM cloud. Watson is IBM's artificial intelligence software in use by various businesses. At the sidelines of the IBM Interconnect Conference earlier this month, Koehler spoke with TOI on IBM's strategy and expectations in cloud computing and the state of its India operations.
Lippincott, a global creative consultancy, asked 2,000 "leading edge" consumers in the U.S. whether they were excited to welcome our robot overlords or terrified of them. The survey looks at how AI, machine learning, and on-demand everything will affect society and our way of life.
In addition, you'll now get text messages whenever changes are made to your account, so you'll get a heads up if someone else is tinkering things in there. The company says it already uses a machine learning model that predicts whether it's the true owner or a hijacker who's trying to log in based on locations and IPs.
The Human Genome Project was one of the world's most ambitious scientific endeavours. Launched in 1990, it took 13 years, almost $3bn and help from seven governments to produce the first "map" of...
Artificial Intelligence has been around for sixty years, and through this long time it has had many ups and downs, but mostly downs. The "AI winters", as they are commonly known, were caused because of the insurmountable obstacles that declarative programming presented when building the knowledge base of an intelligent system.
IT'S a defining anxiety in an age of rapid technological change that increasingly we will be competing against machines for our jobs. And those concerns could be justified by growing inequality and political discontent, according to a soon-to-be published book by two Australians.
It was my blessing and my curse to be the world chess champion when computers finally reached a world championship level of play. When I resigned the final match game against the IBM supercomputer Deep Blue on May 11, 1997, I became the first world champion to be defeated in a classical match by a machine.
It seems like even the biggest hyperscale platform developers who have long touted software-defined architectures as the key to computing nirvana are starting to learn a cardinal rule of infrastructure: No matter how much you try to abstract it, basic hardware still matters.
In this special guest feature, Michael Tso, CEO of Cloudian, discusses how AI is rapidly changing the business world, and for AI to deliver business value, the storage industry will play a key role - scale-out object storage with full S3 compatibility matches this role perfectly.
Executive Summary A survey by Tata Consultancy Services reveals that while some jobs have been lost to machine intelligence, that's not the major way companies are using AI today. Companies are more likely to be using AI to improve computer-to-computer tasks while employing the same number of people.
Aiming to provide data engineers with new and better tools for creating production data pipelines, Databricks yesterday released Databricks for Data Engineering, a new version of its Apache Spark-based cloud platform optimized specifically for data engineering workloads. Databricks, founded by the creators of Apache Spark, already provides a version of the cloud platform geared toward supporting data science workloads.
On the promise of machine learning: Machine learning applied to every vertical is the easiest layup in all of startups right now. I think you can take this idea and apply it to farming, self-driving cars, radiology. I think there is a new massive company to be built in every vertical.
Doctors have lots of tools for predicting a patient's health. But-as even they will tell you-they're no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates.
Intelligence isn't a nice to have. It's a necessity. Especially when it comes to improving the customer experience. There's so much data generated by each customer journey, from beginning to end of the entire lifecycle and we need to understand it as best possible to ensure we acquire and retain happy customers.
Among the emerging uses of artificial intelligence is the processing and interpretation of large volumes of data in order to spot patterns. Machine learning tools are surfacing to automate time-consuming business processes, in theory freeing users to connect the dots and make better decisions.
Reports of the demise of Apple Inc.'s self-driving car program may be exaggerated. California's Department of Motor Vehicles on Friday gave Apple the go-ahead to test autonomous cars on public roads in the state. The permit clears the way for testing of "three vehicles, all 2015 Lexus RX450h (models), and six drivers."
As machine-learning algorithms solve bigger and more complex problems, such as language translation and image understanding, training them can require massive amounts of pre-labelled data. Market-based access to data and algorithms will lower entry barriers and lead to an explosion in new applications of artificial intelligence (AI).
In a letter to shareholders, Jeff Bezos wrote about how the company is making machine-learning tools widely available.
"I'm personally excited about healthcare because I'm obsessed with trying to do something for the greater good in this world, and it starts with the human species." With these words, Olivier Rabenschlag, head of creative at Google, discussed why healthcare is different from the other industries he's worked in throughout his career.
In this contributed article, Lisa Orr, senior data scientist at Urban Airship, describes how her team predicted mobile app user churn and Urban Airship trained and scaled their machine learning model over the last year - and how now it's reaping valuable insights.
Anyone involved in writing books or TV and film scripts knows that whilst the entertainment and publishing sectors are constantly on the look out for the next blockbuster, nobody is quite sure what one actually looks like.
Relations are hard. Any relationship counselor can tell you that, as well as anyone who has ever done research on any topic. Finding what other people have done in your domain is hard work, but it is necessary to properly position and relate your work, discover competitors or collaborators, and improve experimental design.
(Newser) - Artificial intelligence has come a long way in recent years, and algorithms with machine-learning applications are proving skillful at things like playing poker, lip-reading, and, unfortunately, being biased. Researchers at Princeton proved the point in an experiment involving an algorithm known as GloVe, which has learned about 840 billion words from the internet, notes .
Travel planning is incredibly stressful. Between researching options, paying for bookings, and organizing your itinerary, you may also have to contend with the risk of being beaten and dragged off planes. Luckily, machine intelligence can alleviate some of the pain points for both you and the travel companies you book with.
The world of high-tech innovation can change the destiny of industries seemingly overnight. Now we are on the cusp of a new grand leap thanks to the democratization of machine learning, a form of artificial intelligence that enables computers to learn without being explicitly programmed.
Biostatistician Colin Weaver takes the same kind of algorithms and machine learning techniques that land a certain blender on your Amazon page or a suggested movie in your Netflix account, and he applies them to something slightly more consequential: health care.
Cloud providers are racing to invest in GPU-enabled virtual machines. These GPU machines in the cloud are going to be the backbone of any application with artificial intelligence, and if you follow Silicon Valley, it's becoming clear that the hype around artificial intelligence is warranted .
A new 'deep learning' method, DeepCpG, has been designed by researchers at the Wellcome Trust Sanger Institute, the European Bioinformatics Institute and the Babraham Institute to help scientists better understand the epigenome - the biochemical activity around the genome.
A GLIMPSE into the future of retailing is available in a smallish office in Hamburg. From there, Otto, a German e-commerce merchant, is using artificial intelligence (AI) to improve its activities. The firm is already deploying the technology to make decisions at a scale, speed and accuracy that surpass the capabilities of its human employees.
Japan joined the artificial intelligence race late. It was not until the mid-1980s, three decades later than countries like the United States, that researchers began pondering the idea of thinking machines. Japanese companies and universities are now increasingly pouring resources into unlocking the secrets of deep learning.
