Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials ...

Researchers Submit Patent Application, “Automated Systems And Methods For Natural Language Processing With Speaker Intention Inference”, for Approval (USPTO 20200274970) ...

The Rubin platform targets up to 90 percent lower token prices and four times fewer GPUs, so you ship smarter models faster.

In the scope of this paper, a paradigm is a general modeling framework or a distinct set of methodologies to solve a class of tasks. For instance, sequence labeling is a mainstream paradigm for named ...

Fine-grained entity typing represents a critical challenge in natural language processing, wherein systems seek to classify entities mentioned in text into highly specific and semantically rich ...

Sponsored Feature: Training an AI model takes an enormous amount of compute capacity coupled with high bandwidth memory. Because the model training can be parallelized, with data chopped up into ...

In the first half of this course, we will explore the evolution of deep neural network language models, starting with n-gram models and proceeding through feed-forward neural networks, recurrent ...