AI Technology & Industry Review
Last Wednesday, Elon Musk caught the AI community’s attention with a tweet announcing an upcoming “Live webcast of working @Neuralink device…” On Friday, the billionaire tech entrepreneur delivered. With pigs.
DeepMind researchers call attention to another “fundamentally novel” development in AI research — deep reinforcement learning (deep RL) — which they believe also has vital implications for neuroscience and deserves more attention from neuroscientists.
Turing awardee and backpropagation pioneer Geoffrey Hinton recently co-authored a paper that takes a look back at backpropagation and explores its potential to contribute to understanding how the human cortex learns.
Recognizing faces is as natural and habitual as can be for human beings. But what actually happens inside our brains during the process of recognizing a face? Can artificial intelligence learn to recognize faces the way humans do?
Instead of investigating what steps the brain takes to process information, the authors of this paper link brain activity directly to the learning process.
From May 14 to 18, the 30th International Joint Conference on Neural Networks (IJCNN 2017) was held in Anchorage, AK, USA. Continuing the long tradition, the conference is organized by the International Neural Network Society (INNS), in cooperation with the IEEE Computational Intelligence Society (IEEE-CIS).
Thanks to AlphaGo, the term “Artificial Intelligence” (AI) came under the spotlight (again). However, Jean-Christophe Baillie doesn’t agree that AlphaGo is AI, for the reason that it’s not able to get us to full AI – an Artificial General Intelligence (AGI).
Noë proposes his ideas towards current neuroscience research using reductionism approach is far from understanding the philosophy behind our consciousness.
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