Meta Follows Elon Musk’s Lead, Moves Staffers to Billionaire-Friendly Texas
According to Mark Zuckerberg, Meta trust and safety workers will be relocated to Texas to prevent them from “censoring” users. Experts point to other advantages.
According to Mark Zuckerberg, Meta trust and safety workers will be relocated to Texas to prevent them from “censoring” users. Experts point to other advantages.
EPFL researchers have developed 4M, a next-generation, open-sourced framework for training versatile and scalable multimodal foundation models that go beyond language.
With large language model (LLM) products such as ChatGPT and Gemini taking over the world, we need to adjust our skills to follow the trend.
Researchers have harnessed artificial intelligence to take a key step toward slashing the time and cost of designing new wireless chips and discovering new functionalities to meet expanding demands for better wireless speed and performance.
We introduce Shape Tokens, a 3D representation that is continuous, compact, and easy to integrate into machine learning models. Shape Tokens serve as conditioning vectors, representing shape information within a 3D flow-matching model. This flow-matching model is trained to approximate probability density functions corresponding to delta functions concentrated on the surfaces of 3D shapes. By …
Part 2: Navigating Ambiguity By: Varun Khaitan With special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo Marques Building on the foundation laid in Part 1, where we explored the “what” behind the challenges of title launch observability at Netflix, this post shifts focus to the “how.” How do we ensure every title launches seamlessly …
In this post, we walk you through the process to build an automated mechanism using Amazon SageMaker to process your log data, run training iterations over it to obtain the best-performing anomaly detection model, and register it with the Amazon SageMaker Model Registry for your customers to use it. Log-based anomaly detection involves identifying anomalous …
Read more “Efficiently build and tune custom log anomaly detection models with Amazon SageMaker”
Like many PyTorch users, you may have heard great things about JAX — its high performance, the elegance of its functional programming approach, and its powerful, built-in support for parallel computation. However, you may have also struggled to find what you need to get started: a straightforward, easy-to-follow tutorial to help you understand the basics …
Read more “The PyTorch developer’s guide to JAX fundamentals”
This year’s crop of robot vacuums can climb stairs and pick up dirty socks that are in their way. Soon they will be able to play with your cat. Good luck to us all.
Specialized microchips that manage signals at the cutting edge of wireless technology are astounding works of miniaturization and engineering. They’re also difficult and expensive to design.