Welcome to our monthly digest, where you can catch up on any AIhub stories you may have missed, catch up on the latest news, recap recent events, and more. This month, we learn about AI for scientific purposes, delve into…
Each LLM deployment has a ceiling, latency curve, and unit cost. Most teams work blindly, discovering their deployment limits only when over-provisioning exhausts their GPU budget or when peak traffic leads to catastrophic failure. There are three important numbers: the…
Two classes of models are integrated into robot conversations: vision language models and vision and movement language models. It looks similar, ingesting images and text, and both come from the same lineage of multimodal pre-training. But for anyone trying to…
Today, we’re excited to announce an important milestone in Clarifai’s journey: we have entered into an agreement for Nebius (NASDAQ: NBIS), the cloud AI company, to license our core engineering and research talent and license our intellectual property for AI…
Scalability in healthcare AI projects is not about the number of tasks a system can handle, but rather about the ability to meet standards of clinical accuracy and compliance from annotated data as volume and complexity grow. At Cogito Tech,…
The shift from chatbots to bots that follow natural language commands goes through one class of models. VLA models — vision, language, and movement models — combine visual perception, language understanding, and motion generation in a single neural network. Their…
Amazon, Apple, Meta, Alphabet, Netflix and Microsoft — the so-called “Silicon Six” — have avoided nearly $278 billion in U.S. corporate taxes over the past decade, according to a new analysis from the Fair Tax Foundation. This number deserves a…
Listen to the session or watch below AI companies want to build systems that understand the outside world and overcome the limitations of MBA. Recent developments have brought global models to the forefront of the AI discussion. Watch a conversation…
Vector search supports most recovery augmented generation (RAG) pipelines. On a large scale, it gets expensive. Storing 10 million document embeds in float32 consumes 31 GB of RAM. For development teams running local or internal inference, this number creates real…
Overview of adaptive parallel reasoning. What if a reasoning model could decide for itself when to decompose and parallelize independent subtasks, how many concurrent threads to spawn, and how to coordinate them based on the problem at hand? We provide…
As LLM-powered agents move from research to production, one design tension is becoming harder to ignore: the more useful cloud-hosted memory becomes, the more private user data it exposes. Researchers from MemTensor (Shanghai), HONOR Device and Tongji University have introduced…
In the world of technology, we often talk about “inflection points” as if they are commonplace. They are not. Most companies spend decades searching for one, only to miss the role when they finally arrive. But today, AMD isn’t just…
