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Machine Learning Street Talk (MLST)
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Machine Learning Street Talk (MLST)

Author: Machine Learning Street Talk (MLST)

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
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Zak Andrews

Face recognition technology for surveillance and security applications has truly revolutionized the way we approach safety and monitoring. The seamless integration of this technology allows for quick and accurate identification of individuals, enhancing the overall efficiency of security systems, check for more on https://www.thefreemanonline.org/face-recognition-for-surveillance-and-security-applications/ . The experience of using face recognition for surveillance is incredibly intuitive and user-friendly, making it a valuable tool for both large-scale operations and everyday security measures. The precision and speed at which faces can be recognized is truly impressive, providing a sense of reassurance and peace of mind. Overall, the utilization of face recognition technology in surveillance and security applications has undoubtedly raised the bar in terms of safety and protection.

Mar 31st
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Fabiano PS

2:58:00 the moment Eliezer loses

Nov 30th
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