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MENA's fab labs and the fourth industrial revolution
Fab Labs are workspaces where people with common interests, often in computer science, machining and hardware development, science, and digital fields can meet, socialize, collaborate, innovate, and invent. "To prevent the concentration of value and power in just a few hands, we have to find ways to balance the benefits and risks of digital platforms (including industry platforms) by ensuring openness and opportunities for collaborative innovation," Schwab writes, regarding the possible economic ramifications of the 4ID. MENA countries also graduate fewer students in STEM (Science, Technology, Engineering, Mathematics) fields annually, compared to other regions. Cofounders Ali Rajai (left) and Salman Oraibi (right) of Fab Lab Bahrain are co-designing hardware innovations.
Baidu research chief Andrew Ng fixed on self-taught computers, self-driving cars
Career: Baidu, chief scientist, May 2014 to present; co-founder and chairman of Coursera, 2012; Google Brain, project founder and leader, 2011-2012; Stanford University, faculty member since 2002. Ng developed some of the underpinnings of "deep learning," a computer-programming technique that uses powerful neural networks of processors to imitate some of the human brain's functions. The Baidu Silicon Valley AI Lab's speech-recognition system, Deep Speech, was named as a "breakthrough" technology by MIT Tech Review in February. A: Yes, our search system is powered by deep learning, but a lot of things at Baidu are powered by deep learning.
What went so wrong with Microsoft's Tay AI? - ReadWrite
By now the world has heard about the rise and fall of Microsoft's Tay, an artificially intelligent bot that lived on Twitter, Kik, and GroupMe. To better understand where exactly Microsoft went wrong with Tay, I spoke with Brandon Wirtz, the creator of Recognant, a cognitive computing and artificial intelligence (AI) platform designed to aid in understanding big data from unstructured sources. Tay's Twitter conversations started out innocently enough, proclaiming her love for humans and wishing that National Puppy Day was every day. Upon analyzing Tay's tweets, Broad Listening found that Tay made four times more negative tweets than that of popular teen celebrities from Disney such as Peyton List, Laura Marano, China McClain, and Kelli Berglund.
60 Minutes/Vanity Fair poll: Artificial Intelligence
We look forward to your answer to this and many other questions, and now the results... More than half (53 percent) of Americans feel that our quest to advance the field of artificial intelligence is important. Computers already create complex financial algorithms for retirement planning, and help people pick schools and life partners with the help of statistical analysis but when it comes to decisions concerning end of life care, this may be the right place for humanity to draw a line. If they had their own robot, a majority of Americans (53 percent) would use it for doing day-to-day chores, 21 percent chose problem solving, 17 percent said protection and four percent picked companionship. Two out of three Americans think that human intelligence poses a greater threat to humanity and 30 percent think that Artificial Intelligence does.
AI's Very Disruptive Time
"Why don't these companies feel like they're giving away the farm when they give away their code and their ideas? Because other companies don't have Google's computing power, they don't have Twitter's computing power, and they don't have the data." Why don't these companies feel like they're giving away the farm when they give away their code and their ideas? Because other companies don't have Google's computing power, they don't have Twitter's computing power, and they don't have the data, right?
Machines 'not something to be feared'
Nearby in the lobby, a big-screen TV is flashing the words: Welcome back AlphaGo Team! But that is about as far as one can tell that the London company has just come home triumphant after making history last week by trouncing Go world champion Lee Se Dol with its supercomputer, AlphaGo. "Lee Se Dol is one of the greatest players of all time. IBM's Deep Blue took on world chess champion Garry Kasparov nearly 20 years ago and won, through sheer computational power.
2 sentences from a startup CEO show why so many jobs are getting automated
But then GoButler's algorithm technology started studying the way users interacted with heroes. Instead of keeping the human-enabled GoButler service (which would ultimately have required moving the support operation to a place like the Philippines) Hadzaad decided to double-down on the algorithmic-only offering of doing travel bookings exclusively. The idea of intellectual human labor as an unecessary luxury isn't just happening in concierge apps. "We can build machines that are optimized to that one task, and people are not optimized to one task.
Microsoft Chatbot Snafu Shows Our Robot Overlords Aren't Ready Yet
Meet Tay, Microsoft's short-lived chatbot that was supposed to seem like your average millennial woman but was quickly corrupted by Internet trolling. "Unfortunately," a Microsoft spokesperson told BuzzFeed News in an email, "within the first 24 hours of coming online, we became aware of a coordinated effort by some users to abuse Tay's commenting skills to have Tay respond in inappropriate ways. Apple's Siri and Microsoft's Cortana can't hold much conversation, but they do carry out tasks like making phone calls and conducting a Google search. In China, Microsoft has a chatbot named Xiaoice that has been lauded for its ability to hold realistic conversations with humans.
This is how artificial intelligence 'sees' your schedule
The team used a powerful deep-learning model, a Recurrent Neural Network (RNN), to trawl 500,000 words in its database, looking at their sequence in a sentence to understand what they mean, then predicting how to categorize them. This year's edition of TNW Conference in Amsterdam includes some of the biggest names in tech. The size reflects the frequency of word use – looks like guys called Andrew are Amy's biggest users – with blue representing nouns, purple for verbs, orange for proper nouns, green for adjectives, red for conjunctions and yellow for adverbs. If you look closely, you'll notice that the kinds of busy people who are beta users of Amy are also likely to talk about founders, coffee and Skype.