Course Description Natural language processing (NLP) is one of the most important technologies of the information age. There are a large variety of underlying tasks and machine learning models behind NLP applications. On the model side we will cover word vector representations, ...
Course Description Natural language processing (NLP) is one of the most important technologies of the information age. There are a large variety of underlying tasks and machine learning ...
It uses unsupervised learning and predictive coding in a deep hierarchy of recurrent neural networks (RNNs) to find compact internal representations of long sequences of data. In other ...
of Computer Science, Princeton University Title: A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks Abstract: Autoregressive language models pretrained on large ...
Deep reinforcement learning (deep RL) has been successful in learning sophisticated behaviors automatically; however, the learning process requires a huge number of trials. In contrast, ...
We are proud to announce the 2020 winners of our Salesforce AI Research Grant. Each of our winners will receive a $50K grant to advance their work and help us shape the future of AI.
I lead the global outreach team at Microsoft Research (MSR) – our mission is to amplify the impact of research at Microsoft and to advance the…
Machine learning programs trained with patient reports, rather than doctors', find problems that doctors miss—especially in Black people.
DALL-E drew laughs for creating images of a daikon radish in a tutu. But it builds on an important advance in computer vision with serious applications.
Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming ...
Conceptualization Mariona Coll Ardanuy1,5 Daniel CS Wilson1,5 Methodology Mariona Coll Ardanuy Federico Nanni1 Kasra Hosseini1 Implementation Federico Nanni Kasra Hosseini Mariona Coll ...
Ada Lovelace Fellowship 2019: Nominations being accepted now through October 9, 2018
France Digitale and the PRAIRIE Institute are launching France is AI Talks, a monthly event with the best French AI researchers living abroad. The year’s programme will begin with Yann Le ...
Microsoft Excel the programming language is evolving. With the recent release of LAMBDA, users can now define new functions in the program’s formula language. Learn about the capability and ...
Part of the difficulty of treating breast cancer is the genomic variability of the patient population, as well as the different forms the cancer can take.
Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.
Consumers have consistent personality preferences for their online friends, new research shows.
The Microsoft PhD Fellowship Program is a two-year fellowship for PhD students enrolled in Computer Science, Electrical Engineering, or Mathematics.
The OECD is working to help countries better understand their AI compute demand needs and prepare for the future.
Simplified, the map, sharding and reduce functions do the following: Map(string key, string value) { // key=docid, ignored; value=document array words = Tokenize(value); hash_map histo; for ...
We've scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as ...
Preference elicitation Privacy and security Socially- and context-aware recommender systems Systems challenges such as scalability, data quality, and performance User studies Authors will ...