Artificial Intelligence from a psychologist’s point of view
Researchers test cognitive abilities of the language model GPT-3.
A new approach to improve robot navigation in crowded environments
While robots have become increasingly advanced over the past few years, most of them are still unable to reliably navigate very crowded spaces, such as public areas or roads in urban environments. To be implemented on a large-scale and in the smart cities of the future, however, robots will need to be able to navigate …
Read more “A new approach to improve robot navigation in crowded environments”
Managing a PyTorch Training Process with Checkpoints and Early Stopping
A large deep learning model can take a long time to train. You lose a lot of work if the training process interrupted in the middle. But sometimes, you actually want to interrupt the training process in the middle because you know going any further would not give you a better model. In this post, …
Read more “Managing a PyTorch Training Process with Checkpoints and Early Stopping”
Our interview with Elon Musk
TL;DR It’s all 100% fake, deep deepfake, baby! Part 1 – Questions by ChatGPT (answers too) First, in part 1 (see part 2, coming soon, for the questions Bing asked) of this interview, we asked ChatGPT the following: In an interview with Elon Musk, what questions would you ask him? We also asked ChatGPT to …
How Palantir Meets IL6 Security Requirements with Apollo
Editor’s Note: In this blog post, Palantir’s Apollo & USG Tech teams pair up to describe how we deploy Palantir Apollo as the foundation of our Impact Level 6 (IL6) product offering. Building secure software requires robust delivery and management processes, with the ability to quickly detect and fix issues, discover new vulnerabilities, and deploy …
Read more “How Palantir Meets IL6 Security Requirements with Apollo”
Datasets at your fingertips in Google Search
Posted by Natasha Noy, Research Scientist, and Omar Benjelloun, Software Engineer, Google Research Access to datasets is critical to many of today’s endeavors across verticals and industries, whether scientific research, business analysis, or public policy. In the scientific community and throughout various levels of the public sector, reproducibility and transparency are essential for progress, so …
Extract non-PHI data from Amazon HealthLake, reduce complexity, and increase cost efficiency with Amazon Athena and Amazon SageMaker Canvas
In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors. For example, in the healthcare industry, ML-driven analytics can be used for diagnostic assistance and …
Generative AI at GTC: Dozens of Sessions to Feature Luminaries Speaking on Tech’s Hottest Topic
As the meteoric rise of ChatGPT demonstrates, generative AI can unlock enormous potential for companies, teams and individuals. Whether simplifying time-consuming tasks or accelerating 3D workflows to boost creativity and productivity, generative AI is already making an impact across industries — and there’s much more to come. How generative AI is paving the way for …
How customizing models is bringing generative AI to the enterprise
SambaNova Systems today launched SambaNova Suite, which aims to help enterprises build and deploy customized generative AI models.Read More
Will future computers run on human brain cells?
A ‘biocomputer’ powered by human brain cells could be developed within our lifetime, according to researchers who expect such technology to exponentially expand the capabilities of modern computing and create novel fields of study.