Risky Business is a weekly information security podcast featuring news and in-depth interviews with industry luminaries. Launched in February 2007, Risky Business is a must-listen digest for information security pros. With a running time of approximately 50-60 minutes, Risky Business is pacy; a security podcast without the waffle.
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CNA द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री CNA या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
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MP3•एपिसोड होम
Manage episode 323712706 series 1932286
CNA द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री CNA या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
Andy and Dave discuss the latest in AI news and research, including an announcement that Ukraine’s defense ministry has begun to use Clearview AI’s facial recognition technology and that Clearview AI has not offered the technology to Russia [1:10]. In similar news, WIRED provides an overview of a topic mentioned in the previous podcast – using open-source information and facial recognition technology to identify Russian soldiers [2:46]. The Department of Defense announces its classified Joint All-Domain Command and Control (JADC2) implementation plan, and also provides an unclassified strategy [3:24]. Stanford University Human-Centered AI (HAI) releases its 2022 AI Index Report, with over 200 pages of information and trends related to AI [5:03]. In research, DeepMind, Oxford, and Athens University present Ithaca, a deep neural network for restoring ancient Greek texts, while including both geographic and chronological attribution; they designed the system to work *with* ancient historians, and the combination achieves a lower error rate (18.3%) than either alone [10:24]. NIST continues refining its taxonomy for identifying and managing bias in AI, to include systemic bias, human bias, and statistical/computational bias [13:51]. Authors Pavel Brazdil, Jan N. van Rijn, Carlos Soares, and Joaquin Vanschoren, Springer-Verlag makes Metalearning available for download, which provides a comprehensive introduction to metalearning and automated machine learning [15:28]. And finally, CNA’s Dr. Anya Fink joins Andy and Dave for a discussion about the uses of disinformation in the Ukraine-Russian conflict [17:15]. https://www.cna.org/CAAI/audio-video
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116 एपिसोडस
MP3•एपिसोड होम
Manage episode 323712706 series 1932286
CNA द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री CNA या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
Andy and Dave discuss the latest in AI news and research, including an announcement that Ukraine’s defense ministry has begun to use Clearview AI’s facial recognition technology and that Clearview AI has not offered the technology to Russia [1:10]. In similar news, WIRED provides an overview of a topic mentioned in the previous podcast – using open-source information and facial recognition technology to identify Russian soldiers [2:46]. The Department of Defense announces its classified Joint All-Domain Command and Control (JADC2) implementation plan, and also provides an unclassified strategy [3:24]. Stanford University Human-Centered AI (HAI) releases its 2022 AI Index Report, with over 200 pages of information and trends related to AI [5:03]. In research, DeepMind, Oxford, and Athens University present Ithaca, a deep neural network for restoring ancient Greek texts, while including both geographic and chronological attribution; they designed the system to work *with* ancient historians, and the combination achieves a lower error rate (18.3%) than either alone [10:24]. NIST continues refining its taxonomy for identifying and managing bias in AI, to include systemic bias, human bias, and statistical/computational bias [13:51]. Authors Pavel Brazdil, Jan N. van Rijn, Carlos Soares, and Joaquin Vanschoren, Springer-Verlag makes Metalearning available for download, which provides a comprehensive introduction to metalearning and automated machine learning [15:28]. And finally, CNA’s Dr. Anya Fink joins Andy and Dave for a discussion about the uses of disinformation in the Ukraine-Russian conflict [17:15]. https://www.cna.org/CAAI/audio-video
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116 एपिसोडस
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