How Google DeepMind CEO Went From Chess to AI, | Global Market News
Google DeepMind CEO Demis Hassabis’s AI journey had an sudden begin: his early mastery of chess.Years earlier than Hassabis would obtain the 2024 Nobel Prize in Chemistry for creating an AI program that predicted protein buildings, he was a youngster chess champion who began taking part in the sport on the age of 4. By age 13, he was a chess grasp competing in opposition to adults in worldwide competitions.In a lecture earlier this month on the University of Cambridge, Hassabis, now 48, defined that chess acquired him “thinking about thinking itself” or exploring the mental processes behind advanced ideas.
“How does our mind come up with these plans, these ideas?” Hassabis requested. “Perhaps more fascinating to me than the games I was playing was the actual mental process behind it.”Related: Google Is Paying $2.7 Billion to Reportedly Rehire an Early Employee Who Built an AI Chatbot Before ChatGPT
Hassabis’ first publicity to programming as a youngster was by means of an digital chess laptop, a bodily board succesful of taking part in chess in opposition to a human participant. Though Hassabis was meant to take a look at out totally different chess methods on the pc, he was more interested by how the pc labored and how somebody had programmed it to play chess.”I remember being fascinated by the fact that someone had programmed this lump of inanimate plastic to play chess really well against you,” Hassabis stated. “I was really fascinated by how that was done and how someone could program something like that.”In his early teenagers, Hassabis started making an attempt to construct AI packages himself on an early home laptop, the Amiga 500. From then on, he “was hooked” on AI and determined to spend his whole profession making advances within the discipline.Demis Hassabis. Photographer: Stefan Wermuth/Bloomberg by way of Getty Images
Hassabis co-founded AI company DeepMind in 2010, and it was acquired by Google in 2014 for more than $500 million. He later invented AlphaZero in 2017, an AI algorithm that needed solely the foundations of chess and 4 hours of taking part in in opposition to itself to turn out to be the strongest chess participant ever, beating human chess masters.Hassabis was awarded the Nobel Prize in Chemistry in 2024 with fellow laureate and DeepMind director John Jumper for creating an AI model, AlphaFold2, that precisely predicted the advanced buildings of virtually all 200 million proteins, every within minutes. The AlphaFold Protein Structure Database, which makes these protein buildings freely out there, has reached over two million customers in 190 international locations, serving to pave the best way for superior analysis in areas like Parkinson’s therapies and antibiotic resistance.Related: Google Co-Founder Sergey Brin Is Back on the Company ‘Pretty Much Every Day.’ Here’s What He’s Working On.Hassabis identified in his Cambridge lecture that it takes an average of 10 years, plus billions of {dollars}, to create a new drug. According to the London School of Economics and Political Science, the average price of developing a drug ranges from $314 million to $2.8 billion.
In the lecture, Hassabis touched on the chance of developing medicine more shortly and cheaply utilizing AI, “from potentially years down to minutes and seconds.”Hassabis informed DeepMind staff in London earlier this month that he thinks artificial intelligence will turn out to be more clever than human beings within the subsequent decade.
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