BROUGHT TO YOU BY LONDON ARTIFICIAL INTELLIGENCE AND DEEP LEARNING MEETUP GROUP
- 1800-1830: Pizza time
- Welcoming Remarks by H2O.ai team
- Tech talks
- Networking until 8pm
Talk 1: Towards faster Internet with Reinforcement Learning by Viswanath Sivakumar, Researcher at Facebook AI Research
Industry estimates show that more than 150 exabytes of data per month were sent over the internet in 2018 and this expected to nearly double by 2021. Effective network congestion control strategies are key to keeping the Internet operational at this massive scale. For decades, these systems have been dominated by handcrafted heuristics that can react to dynamic traffic patterns but are not able to learn new ways to anticipate them. Reinforcement Learning (RL) holds the promise of taking proactive steps to reduce network congestion and adapt to varying network scenarios, and yet to our knowledge none has been transferred to a real-world production system. This talk will cover a research platform to advance RL for congestion control and the fundamental challenges involved.
Talk 2: Why not to use AI? by Jyoti Mishra, Machine Learning/Natural Language Processing Engineer at Wluper
The talk will cover different challenges of AI projects and details of technical infrastructure required to build a successful AI Product. It will also cover several misconceptions of how AI is perceived by people and the business loss caused.
Talk 3: Tackling Climate Change with AI by Vanya Pisinska, Blooger at FairAI.io
One of the most significant challenges we face is climate change, and the consequences of not reacting on time are going to be catastrophic. This session will cover the use of AI in the battle against the climate crisis and present ideas of how we can contribute positively using technology that is already available.
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