Francisco is the Founder and CEO of cortical.io, Francisco's medical background in genetics combined with over two decade's of experience in Information Technology, inspired him to create a groundbreaking technology, called Semantic Folding, which is based on the latest findings on the way the human neocortex processes information. Francisco founded Matrixware Information Services, a company that developed the first standardized database of patents. Francisco also initiated the Information Retrieval Facility, a non-profit research institute, with the goal to bridge the gap between science and industry in the information retrieval domain. Let me introduce you to Francisco Webber, Founder and CEO of cortical.io.

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.

Neural activity during cognitive tasks exhibits complex dynamics that flexibly encode task-relevant variables. Recurrent neural networks operating in the near-chaotic regime, which spontaneously generate rich dynamics, have been proposed as a model of cortical computation during cognitive tasks. However, existing methods for training these networks are either biologically implausible, and/or require a continuous, real-time error signal to guide the learning process. The lack of a biological learning method currently restricts the plausibility of recurrent networks as models of cortical computation. Here we show that a biologically plausible learning rule can train such recurrent networks, guided solely by delayed, phasic rewards at the end of each trial, for nontrivial tasks.

Apple has acquired the Indian startup Tuplejump. This is the fourth machine learning company acquired by the high-tech giant over a one year period. Tuplejump's takeover by Apple actually happened in June but went unnoticed until now, according to Bloomberg. Tuplejump founder Rohit Rai is not living in Seattle, where Turi is located and he began working for Apple in May. Among Tuplejump's dozen workers, many were already based on the U.S. west coast.

Over the last few decades, globalization has created great wealth and brought millions out of poverty. Today, a combination of technology, politics, and social pressures seems to be reversing globalization. While the new technology will continue to create wealth, it will favor developed countries. The increasing regionalization of economies and differences in rates of growth will create instability and challenge international security arrangements. The Economist defines globalization as the "global integration of the movement of goods, capital and jobs." The combination of labor cost advantages, efficient freight systems, and trade agreements fueled globalization by providing regional cost advantages for manufacturing. Over the last six decades, it transformed agricultural societies into industrial powerhouses.

Microsoft has deployed reprogrammable computer chips in Azure datacentres across 15 countries to ensure its infrastructure can efficiently process the data generated by its artificial intelligence (AI) activities at scale. A collection of our most popular articles on datacentre management, including: Cloud vs. Colocation: Why both make sense for the enterprise right now; AWS at 10: How the cloud giant shook up enterprise IT and Life on the edge: The benefits of using micro datacenters This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time.

Are the NYU Deep Learning course taken down? I want to re-watch some of the videos, but it seems like they taken down.

Today the use of artificial intelligence is in so much of the technology we use every day. Since 2011 investments in artificial intelligence related products has exceeded 2 billion. There has also been progress made with cognitive artificial intelligence such as with IBM Watson. Technology is being created that can think for itself as well as adapt and solve problems by itself, much like how the human brain works. Artificial intelligence tends to have many definitions but can be summed up as technology that can perform tasks which normally require human intelligence.

Artificial intelligence startups are emerging as a magnet for venture capital investment. Today, it was the San Francisco-based Skymind Inc. that took the spotlight after raising 3 million in funding from Chinese web giant Tencent Holdings Ltd., Y Combinator and three other early-stage backers. The group joins an already impressive list of investors that includes Lookout Security Inc. Deepmind will use the capital to spread the word about its open-source Deeplearning4j framework, which promises to speed up the development of artificial intelligence applications. The project distinguishes itself from the numerous free alternatives out there by providing a number of value-added features specifically geared towards the requirements of large enterprises.

From deep learning neural networks to artificial intelligence-based facial recognition, artificial intelligence has taken leaps and bounds in 2016. Virtual assistants and autopilot driving services are already influencing our lives, and the pace of innovation is frightening to some – but exciting for others. But if you work in cyber security, these advances also herald more challenging times ahead. Cyber security is already one of the top business risks today, and adding artificial intelligence (AI) to the hacker's already-sophisticated toolkit will make the job of defending against cyber attackers harder still. Modern hackers don't just target governments or large organisations – they can infiltrate any network activity and impact public services and individuals too.