The Impact of Automation and Artificial Intelligence: Part 1 - Reynolds Center

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As technology continues to grow, here are some ways you should start thinking about how automation and artificial intelligence will impact local businesses. Automation has already shaken up many blue collar industries, but it's set to change white collar industries as well. Revenue from artificial Intelligence software will grow from a $644 million in 2016 to nearly $39 billion in 2025, according to IBM. As this technology grows, there are many chances for technologists to implement AI into many facets of our lives and careers. We're already used to virtual assistance like Siri and Alexa, and with more sophisticated forms of artificial intelligence these virtual assistants will be able to give us direction on how to get to the store, while also telling us to get better exercise and other life tips.


Google's AI Fight Club Will Train Systems to Defend Against Future Cyberattacks

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When artificial intelligence (AI) is discussed today, most people are referring to machine learning algorithms or deep learning systems. While AI has advanced significantly over the years, the principle behind these technologies remains the same. Someone trains a system to receive certain data and asks it to produce a specified outcome -- it's up to the machine to develop its own algorithm to reach this outcome. Alas, while we've been able to create some very smart systems, they are not foolproof. Data science competition platform Kaggle wants to prepare AI systems for super-smart cyberattacks, and they're doing so by pitting AI against AI in a contest dubbed the Competition on Adversarial Attacks and Defenses.


From CB Insights with Zenedge - Old School Vs. New School: How Artificial Intelligence Is Transforming Cybersecurity

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IoT & Endpoints: IoT devices and other endpoints, including smartphones, tablets, and laptops within enterprise networks, pose a specific threat to individuals and organizations. Today's connected devices lack supporting infrastructure for robust security protocols. Old-school approaches to defending these devices include pushing security updates from the cloud to the device, but with the dynamic nature of malware today, connected devices do not have enough memory or computing power to effectively store protocols to deal with the multitude of threats that come their way. Instead, the new-school approach involves utilizing machine learning algorithms that can monitor network device traffic to model a baseline of "normal" device behavior, and subsequently flag when the normal behavior of an IoT ecosystem is compromised. Startups addressing the threats facing IoT and endpoints include: Fortscale Security, Tanium, and CUJO.


Artificial intelligence doesn't require burdensome regulation

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One of the most important issues that Congress will face in 2018 is how and when to regulate our growing dependence on artificial intelligence (AI). During the U.S. National Governors Association summer meetings, Elon Musk urged the group to push forward with regulation "before it's too late," stating that AI was an "existential threat to humanity."


New Artificial Intelligence Threat Prediction Platform Detects Cyberattacks in Real Time

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A new artificial intelligence (AI) SaaS application was introduced at the RSA Conference 2017 courtesy of PatternEx. PatternEx is making the application available as a free trial to enable selected customers to see just how good it really is. AI is a fantastic tool and one that will be used in almost everything soon, and now experts are using it to detect cyber attacks in real time. The new Threat Prediction Platform by PatternEx is human-assisted. It's been proven that this approach produces around five times less false positives while at the same time detecting ten times more the attacks than other detector solutions.