Meta’s comeback positions the company for a direct assault on the AI landscape, where competitors like Microsoft reported $13 ...

They have struck a multi-year partnership to embed frontier models in ServiceNow workflows, adding voice agents and ...

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...

Abstract: Data augmentation (DA) plays a crucial role in machine learning by improving model generalization and tackling data scarcity issues, particularly prevalent in domains with limited access to ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...

Abstract: Interoperability among diverse data standards is crucial for advancing digital technologies in smart manufacturing and transportation. This paper studies and presents a hybrid AI framework ...