AI will help find cure for cancer ‘within our lifetimes’, says Arm Holdings chief
Rene Haas also claims artificial intelligence could pave way for widespread use of humanoid robots within five years Business live – latest updates The boss of one of the UK’s biggest chip companies has claimed AI will be able to find a cure for cancer “in our lifetime”. Rene Haas, chief executive of the chip designer Arm Holdings, said that, while modelling how a DNA marker is affected by cancer…
Arm Holdings CEO Rene Haas believes that artificial intelligence (AI) will be instrumental in finding a cure for cancer within our lifetime. While Haas acknowledges that modelling how a DNA marker is affected by cancer is currently too complex for both humans and technology, he is confident that AI will eventually solve this problem as computers become more sophisticated.
The CEO made these remarks to the BBC, stating, "AI is going to ... find a cure for cancer that today you and I, other humans [could] not in our lifetimes. I believe in our lifetime, AI will help cure cancer." Haas also predicted that AI would enable the widespread use of humanoid robots within the next five years, citing their ability to see, learn, and be reprogrammed for new tasks.
In addition to his AI predictions, Haas highlighted how AI is already being utilized in cancer research and testing. Earlier this year, the NHS reported that over 4 million patients received faster lung diagnoses thanks to AI-powered X-ray tools. However, Haas also noted that chip shortages are hindering growth in the humanoid robotics sector.
Arm Holdings, a leading chip company based in Cambridge, England, has around 500 users worldwide and employs more than 7,000 people, with nearly 3,000 based in the UK. The company is valued at $269 billion and is the largest tech firm headquartered in the UK. Haas joined Arm in 2013 and became CEO in 2022, recently taking on the role as CEO of SoftBank's international business, one of the world's largest tech investors.
Written by urgent.news from Guardian Health's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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