After LLMs and agents, the next AI frontier: video language models

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
InfoWorld

A small language model blueprint for automation in IT and HR

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...
CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
EurekAlert!

Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
Tech Xplore

Helping AI agents search to get the best results out of large language models

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
CIO

Facilitating energy management with a unified, scalable, and AI-powered operations platform

Deliver new levels of visibility and predictive insights at scale, maximize uptime and operational cost, and optimize energy ...

Apple builds single AI model that can see, create and edit images

Apple researchers presented UniGen 1.5, a system that can handle image understanding, generation, and editing within a single ...
IEEE

Hybrid Physics-data Driven Unified Modeling of Switching ElectroMechanical Brake Systems

Modeling of ElectroMechanical Brake (EMB) system is fundamental for the safety control of intelligent or autonomous vehicles. However, traditional physics-based EMB system modeling can be challenging ...
TMCnet

Meta Integration Technology Launches MetaKarta Semantic Hub, Introducing a "Write Once, Compile Anywhere" Standard for Enterprise Semantics

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...
GitHub

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

@misc{GANESH2024KANGPT, author = {Aditya Nalgunda Ganesh}, title = {KAN-GPT: The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov ...
IEEE

Vision-Language Modeling Meets Remote Sensing: Models, datasets, and perspectives

Abstract: Vision-language modeling (VLM) aims to bridge the information gap between images and natural language. Under the new paradigm of first pretraining on massive image-text pairs and then ...
GitHub

RynnVLA-002: A Unified Vision-Language-Action and World Model

RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...