Artificial intelligence grabs headlines on an almost daily basis – and for good reason. Technology will have a profound impact on almost every aspect of life for billions of people around the world. Over the past year, we’ve watched as two giants — Google-owned DeepMind and Microsoft-backed OpenAI — fight for supremacy in a battle of the AI colossi.
Hearing more about the current state of the revenue-generating AI space race is just one reason we’re excited that DeepMind founder and CEO Demis Husbis will join us for a great chat on the AI stage at TechCrunch Disrupt 2023, which takes place Sept. Place 19–21 in San Francisco. Don’t forget, you can bring a friend to hear Demis during our 2-for-1 Memorial Day Sale.
We look forward to having Hassabis take on Google’s recent consolidation of its AI research divisions, merging the teams in DeepMind and Google Brain into a new entity, Google DeepMind. We are curious about the reasoning behind this decision and whether it will change the nature of AI research at Google.
It’s also no secret that Google has had a hold on OpenAI’s ChatGPT for the past year — an unfamiliar situation for the leader in AI research. What role can DeepMind play in changing this?
In 2021, Hassabis founded Isomorphic Labs, a digital biology company that uses AI for drug discovery. It’s been pretty quiet since launch, and we’d love to hear about its progress.
A chess and programming prodigy, Demis Hassabis is a computer scientist, neuroscientist and video game designer. In 2010, he founded DeepMind, now part of Alphabet, which in 2020 continues to produce breakthroughs like AlphaFold – a solution to the 50-year-old grand challenge of protein folding.
Hassabis graduated from the University of Cambridge and earned a PhD in cognitive neuroscience at University College London. He is a fellow of the Royal Society and the Royal Academy of Engineering, and received a Commander of the Order of the British Empire for services to science and technology.
Hear more conversations with leading experts on The AI Stage, covering topics such as biometrics, natural language generation, reactive machines, speech recognition and more. It is one of six new steps for six successful areas of disruption.
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