A talk with Marco Menichelli, CTO at XSENSE Corp

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In 1999 he represented the Italian universities at the Platform Aerospace in Paris, in 2012 he won the Lamarck Prize at SMAU thanks to Leonardo Human Language Code, the embryonic version of XSENSE and last April he was speaker at TEDx in Rome. Let's get to know him better and meet him at BLAST 2017: book your pass now! Let's start from the beginning: who is Marco Menichelli? How did your passion for artificial intelligence start? Sincerely, I still do not know enough myself to say who I am.



XSENSE : Self-Programming AI

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The first time that, with my collaborators, we watched XSENSE launch the tests, independently modify its own knowledge base, and run the non-regression tests until the tests were all perfect, we felt like we were watching a Symphony Orchestra, and now I'm writing this article, to make you understand what I felt.


AI is the desire to replicate intelligence in machines: Shivaram Kalyanakrishnan

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Shivaram Kalyanakrishnan is an assistant professor in the department of computer science and engineering at the Indian Institute of Technology-Bombay. He specialises in artificial intelligence (AI) and is the only author from India who is part of an 18-member study panel of the Stanford University-hosted report titled Artificial Intelligence and Life. Kalyanakrishnan's expertise broadly fits in the area of machine learning. Called reinforcement learning, it defines what actions software agents should take to maximize a certain type of reward after learning from reward and punishment. In an interview, he urges people to be more optimistic about the things AI can do rather than be obsessed with the fear around AI machines.


AI is the desire to replicate intelligence in machines: Shivaram Kalyanakrishnan

#artificialintelligence

Shivaram Kalyanakrishnan is an assistant professor in the department of computer science and engineering at the Indian Institute of Technology-Bombay. He specialises in artificial intelligence (AI) and is the only author from India who is part of an 18-member study panel of the Stanford University-hosted report titled Artificial Intelligence and Life. Kalyanakrishnan's expertise broadly fits in the area of machine learning. Called reinforcement learning, it defines what actions software agents should take to maximize a certain type of reward after learning from reward and punishment. In an interview, he urges people to be more optimistic about the things AI can do rather than be obsessed with the fear around AI machines.