DEDHAM, MA--(Marketwired - May 17, 2016) - Rage Frameworks, a provider of knowledge-based automation technology and services, today announced that it will attend MIT Technology Review's fourth annual West Coast Emerging Digital Technologies (EmTech Digital) Conference, which brings together innovators, entrepreneurs, business leaders and venture capitalists to examine what's next for artificial intelligence across professional industries. The event will explore the latest research on artificial intelligence techniques, including deep learning and speech and image recognition, that are providing machines with valuable new capabilities and making the automation of more business decisions possible. Rage Frameworks' CEO Dr. Venkat Srinivasan will present "AI in the Enterprise" at the EmTech Digital Conference, where he will outline how artificial intelligence is already impacting daily lives and the ways in which Rage's traceable deep learning technology, RAGE AI, is helping global financial services, consumer products and manufacturing firms overcome business problems faster than ever. RAGE AI enables intelligent systems with end-to-end knowledge-based automation including contextual, traceable deep learning. Where natural language is involved, using deep linguistic parsing and proprietary linguistics-based innovations it enables the understanding of the real meaning of documents and interprets them as a human would.

HARI SREENIVASAN: The man who led the Afghan Taliban for the past year was killed in a U.S. operation over the weekend. The group had been gaining ground and waging a bloody war against the Afghan government. So, what's next for the Taliban, and the countries who fight it? Chief foreign affairs correspondent Margaret Warner begins our coverage. MARGARET WARNER: Smoldering wreckage on a Pakistani roadside was all that remained of the Taliban commander's vehicle hours after he died in it Saturday.

Next up in our series on top Kagglers is the #1: Owen Zhang (Zhonghua Zhang). Owen comes from an engineering background and currently works as the Chief Product Officer at DataRobot. Back in 2011 I had just switched to analytics as a full time job (after several years working in IT), and was eager to improve my skills and to "prove myself". So it was fortuitous that Kaggle came along with the first Allstate competition. Being in the same industry I felt I had some advantage as well.

This is what has happened with Bitcoin mining (mostly in Tibet/China) since cost-differentiation between miners is no longer about who is using specialized hardware, but about who uses them most cheaply.

We're excited for tomorrow's online discussion about automatic text summarization! During the event, Mohamed AlTantawy, CTO of Agolo, will explain the tech behind their summarization tool. In this blog post, he describes how his team evaluates the quality of summaries produced by their system. Join us tomorrow to learn more and ask questions about the approach! Evaluating the quality of algorithmically created summaries is a very hard task.

When the artificial intelligence program AlphaGo defeated champion Go player Lee Sedol earlier this year, everyone praised its advanced software brain. But the program, developed by Google's DeepMind research team, also had some serious hardware brawn standing behind it. The program was running on custom accelerators that Google's hardware engineers had spent years building in secret, the company said. With the new accelerators plugged into the AlphaGo servers, the program could recognize patterns in its vast library of game data faster than it could with standard processors. The increased speed helped AlphaGo make the kind of quick, intuitive judgments that define how humans approach the game.

Earlier this year, the Institute of Electrical and Electronics Engineering's (IEEE) published "AI's 10 to Watch" – a list of 10 people who are doing phenomenal work in the field of artificial intelligence. A Pakistani researcher Haris Aziz, who had graduated from LUMS, had his name published in this prestigious list for his work in the field related to computational social choice, an intersection between artificial intelligence and economics. Its seems that was just the beginning of the road for Haris Aziz, who is now back in the news for solving an'unsolvable' mathematical situation. Who will get the larger share of the profit from a business? Shall it be equally allocated or otherwise? Perhaps its your child's birthday and its time to cut and divide the cake in a way that none of the children gets sad by his/her share?

Overwatch sounds like a game I shouldn't want to play: a hero-focused team shooter that seems aimed at players given to godlike acts of ballistic skill. But I should know better. This is Blizzard we're talking about, after all, a studio that turned a generic fantasy-verse born from a niche real-time strategy game into a global online roleplaying sensation. After chatting with Overwatch co-director Jeffrey Kaplan, I'm almost convinced it's a game for me--the sort of lapsed, Quake-era clanner who has lost interest in competitive shooters. Here, by way of our lightly edited conversation, is a rundown of why.

A certain type of person might look at the Cowa Robot Suitcase and say (with an irritated, world-weary sigh), "A smart suitcase? When will this Internet of Things end?" I am not that person, and if you are, I have some bad news for you. The Internet of Things (IoT) has no end. There is no product, however trivial, on the do-not-upgrade list.

I was chatting with an old friend yesterday and he reminded me of a conversation we had nearly 50 years ago. I tried to explain to him what I did for living and he was trying to understand why getting computers to understand was more complicated than key word analysis. I explained about concepts underlying sentences and explained that sentences used words but that people really didn't use words in their minds except to get to the underlying ideas and that computers were having a hard time with that. Fifty years later, key words are still dominating the thoughts of people who try to get computers to deal with language. But, this time, the key word people have deceived the general public by making claims that this is thinking, that AI is here, and that, by the way we should be very afraid, or very excited, I forget which.