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Search resuls for: "Deepmind's"


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☆ How an AI breakthrough from Alphabet's DeepMind 'changed scientific history' and could lead to new cures
  + stars: | 2023-02-28 | by ( Andrew Dunn | ) www.businessinsider.com   time to read: +11 min
"AlphaFold has sparked a wave of innovation by showing people what's possible," said Chris Bahl, the chief scientist at AI Proteins, a Boston startup using AlphaFold to help develop drugs. "AlphaFold, amazing as it, is just the beginning," Demis Hassabis, the CEO of DeepMind, said on a podcast last year. AlphaFold2 was built with far more biological and physics knowledge of proteins, Jumper said. Next uses will be 'progressively harder' as DeepMind stays secretive on its future workJohn Jumper, a senior staff research scientist at DeepMind who helped develop AlphaFold. "But AI will also continue to progress rapidly, and the folks at DeepMind are very good, so I'm optimistic."
☆ Alphabet-owned AI firm DeepMind shutters office in Canada's Edmonton
  + stars: | 2023-01-24 | by ( ) www.reuters.com   time to read: +1 min
Jan 24 (Reuters) - DeepMind Technologies, owned by Alphabet Inc (GOOGL.O), is closing its office in the Canadian city of Edmonton, a spokesperson for the AI firm said, just days after Google's parent announced it would lay off 12,000 employees. London-based DeepMind's Edmonton office is the only international site directly managed by the artificial intelligence firm, making it far more resource-intensive to operate, the spokesperson said. Researchers have been offered the option to relocate to another DeepMind office, such as DeepMind Montreal, based in Google’s Montreal office, the spokesperson added. Google acquired DeepMind in 2014, putting the tech giant ahead in the AI race than most of its peers. Reporting by Chavi Mehta in Bengaluru and Jeffrey Dastin in Palo Alto; Editing by Maju SamuelOur Standards: The Thomson Reuters Trust Principles.
☆ Google's big fear is AI running wild. After ChatGPT, it's too late.
  + stars: | 2023-01-19 | by ( Hasan Chowdhury | ) www.businessinsider.com   time to read: +6 min
It's in Google's financial interest to present itself as a responsible custodian of AI. On Monday, some of Google's most senior executives, including CEO Sundar Pichai, senior vice president James Manyika, and the chief executive of its AI research unit DeepMind, Demis Hassabis, published an explainer on their approach to AI research, titled "Why we focus on AI (and to what end)." This is a "thinly veiled swipe at OpenAI and ChatGPT", according to a research note from Richard Windsor of Radio Free Mobile. In other words: If ChatGPT and its successors cause widespread havoc, it'll ruin AI adoption for everyone, including Google. There'll be more ChatGPT momentsThere is a flood of money pouring into generative AI startups promising real-world applications.
☆ Bank of America sees AI transforming the internet over the next five years—top stocks to ride trend
  + stars: | 2022-12-06 | by ( Michelle Fox | ) www.cnbc.com   time to read: +4 min
Artificial intelligence will be a catalyst for big tech stocks in the next five years, according to Bank of America. However, artificial intelligence is the "backbone" of the internet and will be increasingly tied to the stock performance of big tech companies, Bank of America analyst Justin Post said. Meta also uses AI to predict what content will matter to users in their news feeds, as well as to determine suggested content in its video component, Reels. Alphabet Artificial intelligence has become Alphabet's focus across its investments, acquisitions and internal spending, Post said. Amazon The e-commerce giant uses artificial intelligence and machine learning to power Alexa, Go Store and its recommendation engine.
☆ This startup helps Fortune 500 companies build computer vision AI models. Check out the 44-slide animated pitch deck V7 used to raise a $33 million Series A.
  + stars: | 2022-11-29 | by ( Riddhi Kanetkar | ) www.businessinsider.com   time to read: +3 min
The startup allows machine learning teams to build computer vision AI models. Computer vision models extract information from visual data sources, such as images and videos, to help computers and machines to better interpret these visual inputs. Many computer vision models are powered by machine learning technology, but this process can be time-consuming to engineer. This helps companies to develop AI models much faster and cuts down on the time needed to manage machine learning data, according to V7. V7 labels data automatically, so that teams do not have to annotate the data from scratch.
☆ 100-hour workweeks and a bit of luck: How a 25-year-old CEO raised $50 million for his new drug discovery startup
  + stars: | 2022-11-22 | by ( Andrew Dunn | Sarah Braner | ) www.businessinsider.com   time to read: +10 min
In June, Charm said it raised $50 million, valuing the firm at $100 million to $150 million. Charm has raised $50 million from top investorsDemis Hassabis, the CEO and a cofounder of DeepMind Technologies. In the spring, Aithani raised the $37 million million round that was announced in June, with investors like Khosla Ventures and General Catalyst joining OrbiMed and F-Prime Capital. The raise values Charm at between $100 million and $150 million, Aithani said, and brings the company's total funding to $50 million. This article was corrected on August 19 to show that Charm has raised two rounds of funding totaling $50 million.
☆ In internal meetings and leaked documents, Amazon dreams of taking on Google's DeepMind by using machine learning to revolutionize drug discovery, genomics, clinical trials and more
  + stars: | 2022-10-21 | by ( Eugene Kim | ) www.businessinsider.com   time to read: +7 min
Amazon held an internal machine learning conference last week. The deployment of machine learning across healthcare was a major topic. The event was all about machine learning, a powerful type of artificial intelligence that has already transformed Amazon's business and those of other tech giants. He was joined at last week's Amazon Machine Learning Conference by Amazon's chief medical officer Taha Kass-Hout. One of the workshops was about machine learning for "human health."
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