Top related persons:
Top related locs:
Top related orgs:

Search resuls for: "Vaswani"


8 mentions found


MUMBAI, Oct 21 (Reuters) - India's central bank has approved the appointment of veteran banker Ashok Vaswani as managing director and chief executive of Kotak Mahindra Bank (KTKM.NS), the private lender said in an exchange filing on Saturday. Vaswani's appointment comes after billionaire Uday Kotak, who founded Kotak Mahindra Bank, resigned as the MD and CEO last month in a surprise move, citing personal reasons. Dipak Gupta, currently the managing director and CEO, will carry out the chief executive duties until Dec. 31, the bank had said last month. "I am delighted that the RBI has approved our recommendation, Ashok Vaswani, as the next CEO of Kotak Mahindra Bank," Kotak said in the filing, describing him as a "world class leader" with digital and customer focus. KVS Manian and Shanti Ekambaram, the two most senior bankers at Kotak Mahindra Bank, will remain on the board and keep their current roles, Gupta added.
Persons: Ashok Vaswani, Vaswani, Vaswani's, Uday Kotak, Dipak Gupta, Kotak, Gupta, KVS Manian, Shanti Ekambaram, Siddhi Nayak, Ira Dugal, William Mallard Organizations: Kotak Mahindra Bank, Citigroup Asia Pacific, Barclays, Reserve Bank of India, Kotak, Siddhi, Thomson Locations: MUMBAI
Top AI researchers have been leaving for startups where their work can have more impact. That frustration over Google's slow movement has been corroborated by other former Google researchers who spoke to Insider. Niki Parmar left Google Brain after five years to serve as a cofounder and CTO of Adept, though in November, she left to found a stealth startup. Lukasz Kaiser left Google Brain after working there for more than seven years to join OpenAI in 2021. Sharan Narang, another contributor to the T5 paper, left Google Brain in 2022 after four years there.
Persons: it's, Llion Jones, OpenAI's, ChatGPT, Sundar Pichai, Bard, Daniel De Freitas, Noam Shazeer, Ilya Sutskever, Sutskever, OpenAI, Ashish Vaswani, Niki Parmar, Jakob Uszkoreit, Aidan Gomez, Nick Frosst, Lukasz Kaiser, Kaiser, Illia Polosukhin, Meena, De Freitas, Romal Thoppilan, Character.AI, LaMDA, Elon Musk, Character.ai, Winni Wintermeyer, Thoppilan, Alicia Jin, BERT BERT, BERT, Jacob Devlin, Colin Raffel, Raffel, Sharan Narang, He's, Azalia Mirhoseini, Anna Goldie, Mirhoseini, Goldie, Claude, DeepMind Mustafa Suleyman, Mustafa Suleyman, DeepMind, Suleyman, Reid Hoffman Organizations: Google, Bloomberg, New York Times, Microsoft, Street Journal, Neural Networks, OpenAI, YouTube, Elon, UNC Chapel Hill, Meta, Anthropic, Society Locations: ChatGPT, Character.AI, DeepMind
Before their startup had customers, a business plan or even a formal name, former Google AI researchers Niki Parmar and Ashish Vaswani were fielding interest from investors eager to back the next big thing in artificial intelligence. At Google, Ms. Parmar and Mr. Vaswani were among the co-authors of a seminal 2017 paper that helped pave the way for the boom in so-called generative AI. Earlier this year, only weeks after striking out on their own, they raised funds that valued their fledgling company—now called Essential AI—at around $50 million, people familiar with the company said.
Before their startup had customers, a business plan or even a formal name, former Google AI researchers Niki Parmar and Ashish Vaswani were fielding interest from investors eager to back the next big thing in artificial intelligence. At Google, Ms. Parmar and Mr. Vaswani were among the co-authors of a seminal 2017 paper that helped pave the way for the boom in so-called generative AI. Earlier this year, only weeks after striking out on their own, they raised funds that valued their fledgling company—now called Essential AI—at around $50 million, people familiar with the company said.
May 4 (Reuters) - Two prominent former Google (GOOGL.O) researchers who authored the groundbreaking paper that paved the way for the generative AI boom, have raised $8 million for their new startup Essential AI, four sources told Reuters. Thrive Capital had led the round in Essential AI, founded by Ashish Vaswani and Niki Parmar. Thrive Capital, founded by Joshua Kushner, is also an investor in Microsoft-backed OpenAI. Essential AI aims to build software for enterprises to use large language models, the core software of a new artificial intelligence system that has powered generative AI applications such as ChatGPT, sources said. The raise came after Vaswani and Parmar left Adept AI, a company they also co-founded in 2021 with former Google director David Luan.
Top AI researchers have been leaving for startups where their work can have more impact. That frustration over Google's slow movement has been corroborated by other former Google researchers who spoke to Insider. Niki Parmar left Google Brain after five years to serve as a co-founder and CTO of Adept, though like Vaswani she recently left for a stealth startup. Lukasz Kaiser left Google Brain after over seven years to join OpenAI in 2021. Sharan Narang, another contributor to the T5 paper, left Google Brain in 2022 after four years.
VCs have flocked to central and eastern European startups for their efficiency and technical talent. Central and eastern Europe includes countries like the Czech Republic, Hungary, Slovenia, Romania, Russia, and Ukraine, according to the World Atlas. The promise of central and eastern Europe starts with a surplus of strong engineering talent, Vaswani said. "Eastern Europe is the former Communist Bloc, and during communism, one of the dangerous things for the communist regimes were humanistic subjects," Bartos said. Additionally, central and eastern European startups are often more capital-efficient due to lower personnel and living costs, an advantage that founders like Jendruszak have leveraged firsthand.
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.
Total: 8