10 cool examples of Project Genie, the AI world model that sent video game stocks diving

Google rolled out a brand new experimental AI tool last Thursday called Project Genie. By Friday, video game stocks were ...

Could a new AI model transform genetic testing and drug discovery?

A Google DeepMind invention that uses artificial intelligence (AI) to predict how DNA mutations behave could have a ...
IEEE

Diffusion Model is Secretly a Training-Free Open Vocabulary Semantic Segmenter

The pre-trained text-image discriminative models, such as CLIP, has been explored for open-vocabulary semantic segmentation with unsatisfactory results due to the loss of crucial localization ...
IEEE

A Model-Agnostic Approach for Semantic Table Augmentation in Digital Twin Government Using LLMs and Domain-Specific Ontologies

Abstract: The Digital Twin Government (DTG) paradigm seeks to digitally replicate vast and heterogeneous governmental resources for decision-making and service delivery in real-world scenarios. In ...
GitHub

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation

Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large vision model ...
Automation World

How Semantic Intelligence Helps Manufacturers Cut Crisis Response Time from Weeks to Days

During the chip shortage, Tesla thrived while Ford waited. The difference? Semantic intelligence that transformed data into ...
CIO

Enterprise AI and the semantic core: Building an OS for knowledge

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
CIO

Why copilots fail BI — and why multi-agent AI is the real future for BI

Dashboards show what happened, copilots guess why; teams need multi-agent AI analysts that actually explain problems and tell ...