Essential AI's open science frontier model uses a research approach that focusses on sharing and openness in all stages of the scientific process
Ashish Vaswani, Co-founder, Essential AI Image: Courtesy Essential AI
For as long as he can remember, Ashish Vaswani has been fascinated by science and mathematics. The son of an architect and a doctor, he grew up in Oman before his family shifted to Nagpur when he was 15. “I am not able to recall if it was then or later, but you pick up your heroes. I was a big fan of a lot of Indian scientists like Bose (Jagdish Chandra Bose) and CV Raman,” Vaswani says. Equally fascinating to him, while in school, was the story of how Bill Gates and Paul Allen founded Microsoft. That, in many ways, led Vaswani into the world of computers.
After he finished school in Nagpur, Vaswani went on to study at the Birla Institute of Technology, Mesra, where he graduated in computer science and engineering. A life in the IT sector as a computer engineer followed, and he spent a few years in Delhi before realising that his true calling was in the world of science.
“I enjoyed algorithms, early theory of computation and was also interested in data structures,” Vaswani says. That prompted him to leave his job and move to the University of Southern California where he completed his master’s before going on to do his PhD in computer sciences. “I was doing my PhD in natural language,” Vaswani says. “My lab was not doing deep learning, but I could sense this was the one. Second, I thought this was going to be where breakthroughs are going to come from.”
His work on natural language models took him to Google where he worked for more than six years on the Google Brain project. Google Brain was a deep learning artificial intelligence (AI) research team that served as the sole AI branch of Google before being merged with Google DeepMind. It was at Google that Vaswani and his then-colleague, Niki Parmar, became the first and third authors of Google’s 2017 research paper ‘Attention Is All You Need’, which introduced the “transformer” deep learning architecture. That architecture was primarily responsible for the chatbot, ChatGPT, and in many ways reshaped the AI race globally and remains a foundational paper in the AI boom.
(This story appears in the 13 June, 2025 issue of Forbes India. To visit our Archives, click here.)