AI Data Model Protection: How To Secure Your AI Tool Against Attacks

One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...
Semiconductor Engineering

The Future Of SoC Design Is Data Movement

Emerging chiplet, memory, and interconnect technologies demand layered, automated solutions to deliver predictable ...

Data Pipelines And Prompt Engineering Matter More For RAG Than LLMs

RAG’s promise is straightforward: retrieve relevant information from knowledge sources and generate responses using an LLM.
Computer Weekly

Using your AI investment wisely: the case for smaller models with bigger impact

Bigger models, more parameters, higher benchmarks. There is often a fixation on scale in the discourse around AI, making it easy to assume that the bigger a Large Language Model (LLM) is, the better ...
EDN

Purpose-built AI inference architecture: Reengineering compute design

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...
InfoQ

Disaggregation in Large Language Models: The Next Evolution in AI Infrastructure

Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts ...
Scientific Research Publishing

Research Progress of 3D Printing Combined with Virtual Reality Technology in Medical Education Practice: A Bibliometric Analysis Based on Web of Science ()

Research Progress of 3D Printing Combined with Virtual Reality Technology in Medical Education Practice: A Bibliometric ...
BMJ Open

Scalability evaluation of a complex community-based falls prevention intervention in Australian stroke rehabilitation

Objectives To investigate the scalability of the multi-component Falls After Stroke Trial (FAST) intervention tailored to community-dwelling adults with stroke to enable post-trial implementation.