Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

AlphaGo Zero: Starting from scratch

Artificial intelligence research has made rapid progress in a wide variety of domains from speech recognition and image classification to genomics and drug discovery. In many cases, these are specialist systems that leverage enormous amounts of human e…

Google’s AI Chief on Why You Shouldn’t Be Afraid of AI

Astro Teller, Google’s artificial intelligence chief (technically CEO at
Google X), on the future potential of artificial intelligence.

Google’s AI Chief on Why You Shouldn’t Be Afraid of AI

Astro Teller, Google’s artificial intelligence chief (technically CEO at
Google X), on the future potential of artificial intelligence.

Using artificial intelligence to improve early breast cancer detection

Model developed at MIT’s Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries.

Epicenter of eCommerce – Artificial Intelligence

Global e-commerce activity is expanding fast with developing economies gaining prominence. E-Commerce: Payments through mobile, internet and cards – This has vastly transformed the way of doing business in the modern day. We all  have come across or mo…

Artificial Intelligence Innovation in FinTech

With advancement in technology, artificial intelligence, organisations outside the banking industry diversified and demystified financial services by targeting small & succinct margins in the space. These were organisations servicing millions of cu…

8 Essential Tips for People starting a Career in Data Science

Introduction Learning data science can be intimidating. Specially so, when you are just starting your journey. Which tool to learn – R or Python? …
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Teleoperating robots with virtual reality

A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute.

Meta-Learning for Wrestling

We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent.