AAAI: Fast Engineering and Reasoning in the Spotlight

AAAI: Fast Engineering and Reasoning in the Spotlight

The Association for the Advancement of Artificial Intelligence’s annual Conference on Artificial Intelligence (AAAI) received about 9,000 paper submissions this year, requiring a relatively large program committee with two program chairs and four associate program chairs. Kai-Wei Chang, associate professor of computer science at the University of California, Los Angeles; an Amazon Visiting Academic in … Read more

On a mission to demystify artificial intelligence

On a mission to demystify artificial intelligence

Parmida Beigi’s career has touched many facets of machine learning and data science. From her PhD research in computer vision and time series forecasting to her work in Alexa AI end-to-end systems. Today, Beigi pursues—among other things—speech recognition and natural language processing initiatives to help Amazon’s Alexa customers through her work on the local info … Read more

Pai-Ling Yin brings an academic’s lens to the study of buying and selling at Amazon

Pai-Ling Yin brings an academic's lens to the study of buying and selling at Amazon

Online bidding services disrupted the auction industry when Pai-Ling Yin began pursuing her Ph.D. in Economics in 1997 at Stanford University. She seized the data these services generate to study and understand the new economy emerging from this industry in transition. “The Internet is accelerating and scaling up transactions,” Yin said. “All these auctions were … Read more

Amazon and Howard University announce academic collaboration

Amazon and Howard University announce academic collaboration

In an ongoing effort to create lasting pipelines of diverse scientific talent and differentiated research, Amazon today announced a collaboration with Howard University, a historically black college or university (HBCU) located in Washington, DC. Founded in 1867, Howard is a research university that includes 14 schools and colleges. As part of the collaboration, which will … Read more

Amazon Launches $68 Million AI PhD Fellowship Program

Amazon Launches $68 Million AI PhD Fellowship Program

Today, Amazon is announcing its new AI PhD Fellowship program, which will provide two years of funding to more than 100 PhD students at nine universities researching core AI disciplines such as machine learning, computer vision and natural language processing. The goal of the program is to help drive the innovations that will sign the … Read more

Optimizing AI/ML workloads for sustainability

Optimizing AI/ML workloads for sustainability

In June 2022, Amazon re:MARS, the company’s in-person event exploring advances and practical applications in machine learning, automation, robotics and aerospace (MARS), took place in Las Vegas. The event brought together thought leaders and technical experts building the future of artificial intelligence and machine learning, and included keynote speeches, innovation spotlights and a series of … Read more

Amazon and Iit Bombay launching multi -year cooperation

Amazon and Iit Bombay launching multi -year cooperation

Amazon and the Indian Institute of Technology Bombay (IIT Bombay) today announced the creation of the Amazon IIT bombay AI-ML initiative. Amazon IIT-Bombay AI-ML initiative is a multi-year collaboration that funds research projects, PhD fellowships and social events, such as research symposia. The initiative that will be housed in the IIT Bombay Department of Computer … Read more

A better path to throwing large language models

A better path to throwing large language models

In recent years, large language models (LLMs) have revolutionized the area of natural-language processing and made significant contributions to computer vision, speech recognition and language translation. One of the keys to LLMS ‘efficiency has been the extremely large data sets they were training. The trade -off is extremely large model sizes that lead to slower … Read more

Do big language models really need all these layers?

Do big language models really need all these layers?

Large language models (LLMS) have been around for a while, but have really caught the attention of the public this year with the emergence of chatgpt. LLMs are typically lined on massive amounts of data; Recent variants are further tuned to follow the instructions and incorporate human feedback using reinforcement learning. A fascinating ability that … Read more

KDD 2023: Neural Networks’ Graph New Frontiers

KDD 2023: Neural Networks' Graph New Frontiers

In 2021 and 2022, when Amazon Science asked members of the Knowledge Discovery and Data Mining Conference (KDD) program committees to discuss the state of their field, the conversations turned the Surrafen Neural Networks. Yizhou Sun, Associate Professor of Computer Science at the University of California, Los Angeles; An Amazon -Learn; and General Flesh of … Read more