GitHub

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

For the artificial intelligence (AI) engineering, 95% of the time and effort is consumed by data related workloads. In order to tackle this challenge, tech giants spend thousands of hours on building ...
eLife

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
Hosted on MSN

SA emerging as global AI inference powerhouse

Dean Wolson, general manager of Lenovo Infrastructure Solutions Group Southern Africa. South African organisations are emerging as some of the world’s most aggressive adopters of artificial ...
Guru3D.com

Intel Reportedly Developing GPU-Focused Nova Lake Edge AI Processor with unusual 8E+12Xe configuration

Intel is reportedly preparing a specialized Nova Lake processor aimed at edge AI and local inference workloads, according to information shared by leaker @GoldenPigUpgradePack. The rumored design uses ...
IEEE

Bioinspired Programming of Memory Devices for Implementing an Inference Engine

Abstract: Cognitive tasks are essential for the modern applications of electronics, and rely on the capability to perform inference. The Von Neumann bottleneck is an important issue for such tasks, ...
The Next Platform

With TPU 8, Google Makes GenAI Systems Much Better, Not Just Bigger

Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and diverging more with each passing day: Google has just forked its Tensor Processing ...
Datacenter Dynamics

Google unveils eighth-generation TPUs, two dedicated training and inference chips

Google has unveiled the eighth generation of its Tensor Processing Units (TPUs), consisting of two chips dedicated to AI training and inference workloads. Dubbed the TPU 8t (for training) and the TPU ...
IEEE

Tiny Machine Learning: Progress and Futures [Feature]

Abstract: Tiny machine learning (TinyML) is a new frontier of machine learning. By squeezing deep learning models into billions of IoT devices and microcontrollers (MCUs), we expand the scope of ...
Business Wire

FriendliAI Appoints Brian Yoo, Former Moloco COO, as Chief Business Officer to Drive Next Phase of Hypergrowth

AI industry veteran brings proven track record of scaling revenue 500x, securing $180M+ in capital, and leading global operations at the ~$4B machine learning company to accelerate adoption of The ...
VentureBeat

What is DeerFlow 2.0 and what should enterprises know about this new, powerful local AI agent orchestrator?

ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It's now going viral across the ...
TechCrunch

Co-founders behind Reface and Prisma join hands to improve on-device model inference with Mirai

Much of the conversation around AI today is focused on building cloud capacity and massive data centers to run models. Companies like Apple and Qualcomm are in the early stages of making on-device AI ...