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CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificialintelligence. Read our research group roundup below and check out their linked websites for more information!
In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deeplearning training. In this post, we showed cost-efficient training of LLMs on AWS deeplearning hardware. Ben Snyder is an applied scientist with AWS DeepLearning.
Generative ArtificialIntelligence is guiding the forward for businesses worldwide. Generative AI, being an excellent successor of ArtificialIntelligence, has made its presence felt with ever-amazing explorations. Get a closer view of the top generative AI companies making waves in 2024.
He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deeplearning on tabular data, and robust analysis of non-parametric space-time clustering. He was a recipient of the NSF Faculty Early Career Development Award in 2009.
In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificialintelligence (AI) development. KMS Technology KMS Technology is a pioneer in the AI sector in Vietnam, providing businesses with robust AI and machine learning solutions.
2009, a paper by Postberg et al. Additionally, he applies Machine Learning algorithms to analyze astronomy- and space-related data to derive new scientific insights or to create new methods for calibrating instruments. Editor’s note: Dr.-Ing. Thomas Albin is a speaker for ODSC Europe this June 14th-15th. was published in Nature.
For the NYC taxi data, we use the yellow trip taxi records from 2009–2022. He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deeplearning on tabular data, and robust analysis of non-parametric space-time clustering.
Lambos and I had a very extensive conversation about how biological needs influence intelligence, misconceptions about our brain’s biology that have led to worse ANN design, and how we can use the recent developments in neuroscience to improve neural networks. Reproduced from The New Executive Brain, Oxford University Press, 2009.
Pacific Northwest National Laboratory Photo / Andrea Starr) Bringing artificialintelligence to bear on issues relating to nuclear weapons might sound like the stuff of a scary sci-fi movie — but at the Department of Energy’s Pacific Northwest National Laboratory , it’s just one of the items on the to-do list.
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