Jonathan Epstein, CMO of Sentient Technologies, joins us to talk about the advancements in Artificial Intelligence and how assistive marketing and merchandising is just the very beginning of AI for Commerce.

E-marketer explores how the world perceives artificial intelligence. This explosive growth of artificial intelligence brings a danger with it. Well maybe'danger' is a bit strong, but with so many companies exploring AI, how do you find the right match that aligns with your needs? We at MarianaIQ are proud to be one of the startups providing solutions in this field. Deep learning enables us to help you find the right leads by matching social, web and proprietary data regardless of source or vertical.

Your Twitter feed is about to get a lot smarter. CEO Jack Dorsey said Thursday that Twitter will expand machine learning algorithms and artificial intelligence in its core product, and there are changes coming to videos on the platform, too. "We're focused on adding more machine learning and artificial intelligence to everything that we do," Dorsey said during the company's third quarter 2016 earnings call. Twitter sees four areas where A.I. will be useful: As for video, Dorsey said there's plans for A.I. there, too: "We have some really cool and really awesome technology that enables more and more viewership because we can do just-in-time compression," he said. "So we can work on any device type through any network bandwidth and deliver a high-quality, high-definition experience. And we're just starting to apply that technology to our live experience and also to Periscope."

Recently we wrote about the development of AI and neural nets beyond the second generation Convolutional and Recurrent Neural Nets (CNNs / RNNs) which have come on so strong and dominate the current conversation about deep learning. Our research shows that the next generation of neural nets is most likely to be led by Spiking Neural Nets (SNNs) that are a return to the'strong' AI tradition and closely mimic actual brain function. Unlike CNNs that fire signals to every one of their deep layer connections every time, SNNs are modeled after the fact that in the brain neurons do not constantly communicate with one another. Rather they communicate in spikes of signals or more correctly short trains of spiking signals. As each spike in the train arrives at a neuron it raises the potential of that neuron until finally a spike arrives that tips it over its potential threshold and it in turn fires, propelling the signal onward.

The U.S. government wants to find out if artificial intelligence can help doctors diagnose and treat breast cancer more effectively. In an effort to find targeted treatments for particularly invasive types of breast cancer that don't respond well to existing drugs, the Department of Defense announced this week that it is enlisting the biopharma company Berg Health to use AI for drug discovery. The partnership supports the White House's Cancer Moonshot initiative to screen up to 250,000 patient samples in search of new biological indicators, or biomarkers, of the earliest signs of cancer. While the death rate from breast cancer has dropped steadily over the past two decades, it remains the second-biggest killer among cancers in U.S. women, according to the National Cancer Institute. Under the partnership, Berg will have access to the DoD's Clinical Breast Care Project, a bank of 13,600 samples of both healthy and diseased tissue from nearly 8,000 patients.

The latest generation of artificially intelligent robots took centre stage recently at the 2016 World Robot Conference held in the Chinese capital Beijing. But one of the stand out devices was a robot that can actually understand the intricacies of the human brain, and how a human thinks. Xiao I has the ability to analyse human languages as well as a huge amount of data, and can assemble the functions of a human brain. The advanced robot can understand and act on user's instructions by analysing the specific context, thanks to its massive database which has accumulated information concerning daily life and industries for decades, according to an exhibitor at the Xiao I booth. "The top four companies representing the best human-computer interaction technology were voted for at a summit in Orlando the day before yesterday. Xiao I ranks as the top one, and others include Apple's Siri, Microsoft's Cortana and Amazon's Echo," said the exhibitor.

You've ordered a robot online and are booting it up at home. At first the bot doesn't do much of anything; it simply follows you around and observes your daily routine: walking the dog, making lasagna, washing the dishes. But before long the bot has learned to be your surrogate, shouldering quotidian tasks so you can focus on more interesting ones. That's the world envisioned by Suzanne Gildert and Geordie Rose. They run Kindred, an ultra-secretive artificial intelligence company based in Vancouver and funded in part by Google's venture capital arm.

GPU's Role in Artificial Intelligence Advances Featured at Conference By Wayne Rash Posted 2016-10-26 Print NEWS ANALYSIS: The confluence of big data, massively powerful computing resources and advanced algorithms is bringing new artificial intelligence capabilities to scientific research. WASHINGTON, D.C.--Massively parallel supercomputing hardware and advanced artificial intelligence algorithms are being harnessed to deliver powerful new research tools in science and medicine, according to Dr. France A. Córdova, director of the National Science Foundation. Córdova spoke Oct. 26 at the GPU Technology Conference organized by Nvidia, a company that got its start making video cards for PCs and gaming systems and now manufactures advanced graphics processors for high-performance servers and supercomputers. Córdova, who is directing long-term research in AI at the NSF, said the research there is being used already in the Cancer Moonshot project currently spearheaded by Vice President Joe Biden, whose son Beau Biden died of brain cancer in 2015 at the age of 46. The Cancer Moonshot is a major effort to focus resources and funding on the fight to cure cancer on a scale similar to the original mission by NASA to land on the moon.

Is Amazon-Nvidia Pact A Threat For AMD? How to Get a Job on Amazon's Alexa Team Facebook's Director of AI Research, Yann LeCun, is our Udacity Talks guest November 1st! Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

In a lecture at the University of Cambridge this week, Stephen Hawking made the bold claim that the creation of artificial intelligence will be "either the best, or the worst thing, ever to happen to humanity". The talk was celebrating the opening of the new Leverhulme Centre of the Future of Intelligence, where some of the best minds in science will try to answer questions about the future of robots and artificial intelligence - something Hawking says we need to do a lot more of. "We spend a great deal of time studying history," Hawking told the lecture, "which, let's face it, is mostly the history of stupidity." But despite all our time spent looking back at past errors, we seem to make the same mistakes over and over again. "So it's a welcome change that people are studying instead the future of intelligence," he explained.