Ashish Vaswani

Ashish Vaswani
Born	1986
Alma mater	University of Southern California (PhD) Birla Institute of Technology, Mesra (B.Tech)
Known for	Transformer (deep learning architecture)
Scientific career
Fields	Natural Language Processing Deep Learning Artificial Intelligence
Institutions	Google Brain (2016-2021)
Thesis	Smaller, Faster, and Accurate Models for Statistical Machine Translation  (2014)
Doctoral advisor	David Chiang Liang Huang
Website	https://www.isi.edu/~avaswani/

Ashish Vaswani is a computer scientist working in deep learning, who is known for his significant contributions to the field of artificial intelligence (AI) and natural language processing (NLP). He is one of the co-authors of the seminal paper "Attention Is All You Need" which introduced the Transformer model, a novel architecture that uses a self-attention mechanism and has since become foundational to many state-of-the-art models in NLP. Transformer architecture is the core of language models that power applications such as ChatGPT. He was a co-founder of Adept AI Labs and a former staff research scientist at Google Brain.

Career

Vaswani completed his engineering in Computer Science from BIT Mesra in 2002. In 2004, he moved to the US to pursue higher studies at University of Southern California. He did his PhD at the University of Southern California under the supervision of Prof. David Chiang. He has worked as a researcher at Google, where he was part of the Google Brain team. He was a co-founder of Adept AI Labs but has since left the company.

Notable works

Vaswani's most notable work is the paper "Attention Is All You Need", published in 2017. The paper introduced the Transformer model, which eschews the use of recurrence in sequence-to-sequence tasks and relies entirely on self-attention mechanisms. The model has been instrumental in the development of several subsequent state-of-the-art models in NLP, including BERT, GPT-2, and GPT-3.