How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining
Source: MarkTechPost In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed...
Using synthetic biology and AI to address global antimicrobial resistance threat
Source: MIT News – Artificial intelligence James J. Collins, the Termeer Professor of Medical Engineering and Science at...
NVIDIA Researchers Introduce KVTC Transform Coding Pipeline to Compress Key-Value Caches by 20x for Efficient LLM Serving
Source: MarkTechPost Serving Large Language Models (LLMs) at scale is a massive engineering challenge because of Key-Value (KV)...
Google AI Introduces Natively Adaptive Interfaces (NAI): An Agentic Multimodal Accessibility Framework Built on Gemini for Adaptive UI Design
Source: MarkTechPost Google Research is proposing a new way to build accessible software with Natively Adaptive Interfaces (NAI),...
AI algorithm enables tracking of vital white matter pathways
Source: MIT News – Artificial intelligence The signals that drive many of the brain and body’s most essential...
How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples
Source: MarkTechPost In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in...
Alibaba Open-Sources Zvec: An Embedded Vector Database Bringing SQLite-like Simplicity and High-Performance On-Device RAG to Edge Applications
Source: MarkTechPost Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge...
3 Questions: Using AI to help Olympic skaters land a quint
Source: MIT News – Artificial intelligence Olympic figure skating looks effortless. Athletes sail across the ice, then soar...
How to Build a Privacy-Preserving Federated Pipeline to Fine-Tune Large Language Models with LoRA Using Flower and PEFT
Source: MarkTechPost In this tutorial, we demonstrate how to federate fine-tuning of a large language model using LoRA...
Microsoft AI Proposes OrbitalBrain: Enabling Distributed Machine Learning in Space with Inter-Satellite Links and Constellation-Aware Resource Optimization Strategies
Source: MarkTechPost Earth observation (EO) constellations capture huge volumes of high-resolution imagery every day, but most of it...