The term “unseen” can mean two or more things here: inputs that do not correspond to…
Category: AI / ML
The AI / ML category highlights the latest in artificial intelligence and machine learning. It covers advancements, challenges, and practical uses. Articles explore leading tech companies’ innovations. They discuss models that redefine performance, accuracy, and efficiency. A focus lies on the ethics and safety of large language models. It underscores the need for safe testing and deployment. Practical AI applications range from data preprocessing to code generation. They also cover uses in digital personal assistants. The category sheds light on AI’s enhanced reasoning and its limitations. There’s an emphasis on methods to improve AI training. The broader societal impacts of AI are also discussed. This includes decision-making, vulnerabilities, and shifts in traditional workflows.
Training a 1 Trillion Parameter Model With PyTorch Fully Sharded Data Parallel on AWS
Linear scaling efficiency is observed when the number of GPUs is increased from 8 GPUs to…
Make Extra Money on the Side with Data Science
Monetize your machine learning models using FastAPI, Docker, GCP Cloud Run, and Rapid API in 5…
Will Transformers Take Over Artificial Intelligence? | Quanta Magazine
A simple algorithm that revolutionizes how neural networks approach language is now taking on image classification…
Avoid Repetitive Strain Injury With Machine Learning – And Pikachu
The humble mouse has been an essential part of the desktop computing experience ever since the…
Startups competing with OpenAI must solve the same problems
Today we walk you through the fascinating world of upcoming text-generating rivals. Read more…
How artificial intelligence can help us figure out how life began
How inanimate molecules first arranged themselves into life is one of the great mysteries. The answer…
GitHub – nebuly-ai/nebullvm: All-in-one library for easy-to-use DL compilers
All-in-one library for easy-to-use DL compilers. Read more at GitHub…
Sharpened Cosine Similarity: Part 2
A lot has happened since my last post on the Sharpened Cosine Similarity layer. In this…
A guide to TensorLayer for efficient deep learning development
TensorLayer is a modular Python toolkit that provides simple modules to help academics and engineers build…
Google unveils differential privacy tool for Python developers processing data | ZDNet
Google said it has been working with OpenMined for a year on the effort. Read more…
Everyday objects can run artificial intelligence programs
Nontraditional hardware could help neural networks operate faster and more efficiently than computer chips. Read more…
Meta’s ‘data2vec’ is a step toward One Neural Network to Rule Them All | ZDNet
By eschewing data-specific outputs for internal representations, Meta aims for a more-general sort of AI. Read…
TinyML is bringing neural networks to small microcontrollers
IBM and MIT have created a new deep learning technique that can run CNNs on low-power,…
Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting
Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting Read…
AI makes it possible to simulate 25 billion water molecules at once
Computer simulations of clouds of atoms and molecules must always trade scale for accuracy, but a…
What Is TinyML? – Technical Articles
Learn about a subsection of machine learning (ML) called Tiny Machine Learning (TinyML), what it is,…
The largest suite of cosmic simulations for AI training, free to download, already spurring discoveries
Totaling 4,233 universe simulations, millions of galaxies and 350 terabytes of data, a new release from…
OpenAI Releases GLIDE: A Scaled-Down Text-to-Image Model That Rivals DALL-E Performance | Synced
Text-to-image generation has been one of the most active and exciting AI fields of 2021. In…
TensorFlow 2.7.0 Released: All Major Updates & Features
Google launched the upgraded version of TensorFlow today. Read more at Analytics India Magazine…