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GTC 2019 Accelerating AI Performance, Ease of Use with Ubuntu and NVIDIA DGX

Carmine Rimi of Canonical and Tony Paikeday, NVIDIA, discuss the need for flexibility, performance, and ease of use in AI development solutions. They continue to address how NVIDIA's DGX platforms and Ubuntu emphasize accessibility for these data scientists and engineers, allowing them to get up and running quickly with familiar technology.

An Introduction to Artificial Intelligence and Machine Learning - Everything You Need to Know

AI and ML adoption in the enterprise is exploding from Silicon Valley to Wall Street. Ubuntu is becoming the premier platform for these ambitions — from developer workstations, to racks, to clouds and to the edge with smart connected IoT. But with new developer trends comes a plethora of new technologies and terminologies to understand.

Five worthy reads: AI and ML: Keys to the next layer of endpoint protection

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we’ll talk about why incorporating AI into your UEM strategy may be inevitable.

Tracking insider threats with AI

If you thought masked hackers in dark rooms spreading malware were your only security concern, think again. In its Insider Threat Report for 2018, Crowd Research Partners brought to light that almost 90 percent of organizations find themselves vulnerable to insider threats. What’s worse is that 50 percent of these organizations experienced an insider attack in 2018.

6 myths and facts about deep learning

Despite decades of development, deep learning has been boosted by the increasing processing power of computers and the immense amount of data available, which has allowed it to obtain some achievements that were unthinkable years ago. Deep learning is at the heart of what we know today as artificial intelligence. However, like everything that is talked about a lot, deep learning has formed a series of myths that do not always obey reality.