Cisco Northern Europe podcast

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

πριν 2 μέρες1:14:43

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1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

Cisco Northern Europe Podcast

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Cisco Northern Europe Podcast

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Part 2: How new technology can improve cybersecurity 17:48

πριν 7 years17:48

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17:48

Part 2: How new technology can improve cybersecurity Description: On part 2 of this two-part podcast, cybersecurity experts Christian Heinel and Petr Cernohorsky will deep dive into how to use automation, artificial intelligence and machine learning to make security more effective. They also analyse trends such as encryption, IoT and cryptomining and the emerging security threats associated to them.…

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Part 1: How new technology can improve cybersecurity 16:08

πριν 7 years16:08

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16:08

In Northern Europe, one of the most mature markets for cybersecurity in the world, 53% of companies see more than 10,000 alerts a day, and 30% see more than 100,000. On part 1 of this two-part podcast, cybersecurity experts Christian Heinel and Petr Cernohorsky will cover the difference between automation, artificial intelligence and machine learning, and how to use these technologies to better prioritise security alerts. Resources: ACR 2018: https://www.cisco.com/c/en/us/products/security/security-reports.html Cisco Expert Talks on ETA: https://www.cisco.com/c/m/en_emear/campaigns/ciscoexperttalks/north/webinars/traffic-analytics/index.html Securing Encrypted Traffic on a Global Scale: https://blogs.cisco.com/security/securing-encrypted-traffic-on-worldwide-scale As Encrypted Malicious Web Traffic Increases, Defenders Need Advanced Tools That Provide Visibility: https://blogs.cisco.com/security/as-encrypted-malicious-web-traffic-increases-defenders-need-advanced-tools-that-provide-visibility…

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