Science & Tech

Google’s Nobel prize winners stir debate over AI research

The Nobel prizes in physics and chemistry that were given this week to a select group of Google GOOGL.O-affiliated pioneers in artificial intelligence have sparked discussion about the company’s hegemony in research and the proper way to honor scientific advances in computer science.

Although popular search engine has led the way in AI research, it has had to take a more defensive stance in response to growing regulatory scrutiny from the US Department of Justice and rivalry from Microsoft-backed MSFT.O OpenAI.

Along with American biologist David Baker, co-founder of most popular search engine’s Artificial Intelligence division DeepMind Demis Hassabis & colleague John Jumper was given the Nobel award in chemistry on Wednesday for their work deciphering the structures of small proteins.

In contrast, American scientist John Hopfield and former Google engineer Geoffrey Hinton were awarded the Nobel award in physics on Tuesday for their earlier machine learning breakthroughs, which laid the groundwork for the Artificial Intelligence revolution.

Prof Dame Wendy Hall, an artificial intelligence scientist and UN AI advisor, told Reuters that although the winners’ work was deserving of acknowledgement, the absence of a mathematics nor computer science Nobel Prize had skewed the results.

Nobel Prizes for Google-Aligned AI Pioneers Raise Questions About Research Dominance

“The Nobel prize committee doesn’t want to miss out on this Artificial intelligence stuff, so it’s very creative of them to push Geoffrey through the physics route,” she stated. “Despite my doubts, I believe they both deserve a Nobel Prize for the scientific work they have accomplished. Therefore, how else will you honors them?”

“How Algorithms Create and Prevent Fake News” author and associate math professor at Bentley University Noah Giansiracusa also questioned Hinton’s victory.

Was it physics that he did what was so amazing? Not in my opinion. Even if physics served as inspiration, they are neither creating a novel theory or resolving an old issue in physics.”

The Swedish inventor Alfred Nobel’s testament, which was probated in 1895, established the categories for Nobel Prize accomplishments in literature, chemistry, physics, medicine or physiology, and peace. The economics prize was added subsequently and is named for the Swedish Central Bank’s 1968 grant.

US attempt to challenge Google's search supremacy is perceived as a danger to AI growth and profit engines.

DOMINANCE

Currently, American regulators are pursuing most popular search engine in hopes of forcing it into a breakup. This would require popular search engine to sell off sections of its business, such the Android operating system and Chrome browser, which some claims allow it to continue maintaining an illegal monopoly in internet search.

Because of the money it makes from being at the forefront, the most popular search engine along with other Big Tech corporations are publishing ground-breaking Artificial Intelligence research at a faster rate than traditional universities.

Hinton has acknowledged some misgivings about his career, leaving most popular search least year to freely discuss the risks associated with artificial intelligence and to warn that computers may surpass human intelligence considerably sooner than previously thought.

“I wish I had a sort of simple recipe that if you do this, everything’s going to be okay,” he said during a news conference on Tuesday. “But I don’t, particularly with respect to the imminent danger of these things getting out of control and taking over.”

Hinton claimed that most popular search engine behaved extremely responsibly when he resigned from the firm in 2023 because to his fears about artificial intelligence.

Certain scholars argue that the recent Nobel prize winners highlight the increasing difficulty of traditional academic pursuits. Giansiracusa stated to a news agency that increased public funding for research was necessary.

“So much of Big Tech is not orientated towards the next deep learning breakthrough but making money by pushing chatbots or putting ads all over the internet,” he stated. “There are pockets of innovation, but much of it is very unscientific.”

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