Intel CEO Brian Krzanich, BMW CEO Harald Krueger, and Mobileye CTO and cofounder Amnon Shashua pose after a press conference in Munich on July 1, 2016. Intel started making lots of noise about the autonomous car market last year. But it's a long slog getting into a market like automotive, where it can take years to get designed into a vehicle. On Monday, the chip giant announced it would just buy its way into the market with a $15.3 billion acquisition of Mobileye, a leading provider of advanced driver assistant systems based in Israel. A massive consolidation spree is sweeping the semiconductor industry.
Our third regional GPU Technology Conference in as many weeks reached another packed house today, as NVIDIA co-founder and CEO Jen-Hsun Huang unveiled technology that will accelerate the deep learning revolution. "GPU computing is at the beginning of something very, very important, a brand new revolution, what people call the AI revolution, the beginning of the fourth industrial revolution," Huang told a crowd of 1,600 scientists, engineers, entrepreneurs and press, gathered at Amsterdam's gleaming waterfront music hall. "However you describe it, we think something really big is around the corner." In the latest stop in a tour that will bring GTC to eight cities around the world, Huang unveiled Xavier, our next-generation system-on-chip for powering self-driving cars; announced an agreement with TomTom, the Dutch mapping and navigation group, to use AI to create a cloud-to-car mapping system for self-driving cars; detailed our DriveWorks Alpha 1 release, and highlighted the work we're doing with some of Europe's most innovative startups and research labs. In the previous two weeks, Haung spoke at regional GTCs in Beijing and Taiwan that each drew crowds of more than 2,000.
As Vatican lights Christmas tree, Pope reflects on Nativity scene'A gravely critical moment': Catholic scholars call on Bishops to support the four Cardinals Listen to God for guidance to build a better world Pope's prayer for the Immaculate in Piazza di Spagna Be like Mary – say yes to God, but not halfway, Pope Francis says'A gravely critical moment': Catholic scholars call on Bishops to support the four Cardinals ROME: Artificial intelligence is "an extremely important goal that has not been achieved yet," said Stanislas Dehaene, a professor of cognitive neuroscience at the College de France, adding that "we don't want to create a system full of machines that don't share our intuitions of what should be a better world." The Vatican hosted a high-level discussion in the world of science, gathering experts to discuss the progress, benefits and limits of advances in artificial intelligence. A new conference at the Vatican drew experts in various fields of science and technology for a two-day dialogue on the "Power and Limits of Artificial Intelligence," hosted by the Pontifical Academy for Sciences. Among the scheduled speakers were several prestigious scientists, including Stephen Hawkins, a prominent British professor at the University of Cambridge and a self-proclaimed atheist, as well as a number of major tech heads such as Demis Hassabis, CEO of Google DeepMind, and Yann LeCun of Facebook. The event, which ran from Nov. 30-Dec.
This article is a part of an evolving theme. Here, I explain the basics of Deep Learning and how Deep learning algorithms could apply to IoT and Smart city domains. Specifically, as I discuss below, I am interested in complementing Deep learning algorithms using IoT datasets. I elaborate these ideas in the Data Science for Internet of Things program which enables you to work towards being a Data Scientist for the Internet of Things (modelled on the course I teach at Oxford University and UPM – Madrid). Deep learning is often thought of as a set of algorithms that'mimics the brain'. A more accurate description would be an algorithm that'learns in layers'.
This article is a part of an evolving theme. Here, I explain the basics of Deep Learning and how Deep learning algorithms could apply to IoT and Smart city domains. Specifically, as I discuss below, I am interested in complementing Deep learning algorithms using IoT datasets. I elaborate these ideas in the Data Science for Internet of Things program which enables you to work towards being a Data Scientist for the Internet of Things (modelled on the course I teach at Oxford University and UPM – Madrid).