Marco Bernardo talking about learning and quantum systems @caltech Join our livestream https://
aiscienceconference.caltech.edu
SYSTEMS
-

Marco Bernardo discusses quantum learning systems at Caltech conference
By
–
-
Differentiable Artificial Life Framework for Continuous Agent Learning
By
–
9. PD-NCA
— DAIR.AI (@dair_ai) 9 novembre 2025
A differentiable artificial life framework where multiple independent agents continuously update their parameters through gradient descent during simulation, enabling within-lifetime learning and open-ended behavioral change.https://t.co/0omPU6a4Un9. PD-NCA A differentiable artificial life framework where multiple independent agents continuously update their parameters through gradient descent during simulation, enabling within-lifetime learning and open-ended behavioral change.
-

Unified Tool-Agent Retrieval Framework for Multi-Agent Systems
By
–
6. Tool-to-Agent Retrieval Introduces a unified retrieval framework that embeds both tools and agents in a shared vector space with metadata relationships, enabling efficient routing in multi-agent systems coordinating hundreds of MCP servers and tools.
-

RAG Systems: Indexing and Retrieval Are Not the Same
By
–
Here's a common misconception about RAG! Most people think RAG works like this: index a document → retrieve that same document. But indexing ≠ retrieval. What you index doesn't have to be what you feed the LLM. Once you understand this, you can build RAG systems that
-
Memory Bandwidth Optimization in AI Models
By
–
The purpose of that is to reduce memory bandwidth requirements, I assume?
-

GPU Bottlenecks: When Hardware Isn’t the Problem
By
–
sometimes it's the GPUs and sometimes it's infuriating like this because you have the GPUs and something dumb is causing a bottleneck
-
Interoperable Standards Drive AI Scalability Across Industries
By
–
Scalability depends on creating interoperable standards, adaptable data models, and a governance culture that encourages collaboration across different industrial ecosystems.
-
Digital Twins and Agentic AI Transform Smart Cities
By
–
🏙️ What happens when cities can see, think, and act?
— NVIDIA AI (@NVIDIAAI) 7 novembre 2025
Digital twins + agentic AI are enabling:
🏗️ Smarter infrastructure planning
⚡ Faster, more informed decision-making
🛣️ Real-time operations for safer, more resilient cities
This is a new model for how urban systems are… pic.twitter.com/OIexHd3NSaWhat happens when cities can see, think, and act? Digital twins + agentic AI are enabling: Smarter infrastructure planning Faster, more informed decision-making Real-time operations for safer, more resilient cities This is a new model for how urban systems are
-
Tesla Optimus Hand Unveiled at Annual Shareholder Meeting
By
–
Optimus hand on display at Tesla Annual Shareholder Meeting!
— Amitav Bhattacharjee (@bamitav) 7 novembre 2025
pic.twitter.com/0dOiVIY4QU#teslabot #optimus #Tesla #Robotics #AI @mary_gambara @Fisher85M @AlbertoEMachado @mvollmer1Optimus hand on display at Tesla Annual Shareholder Meeting! #teslabot #optimus #Tesla #Robotics #AI @mary_gambara @Fisher85M @AlbertoEMachado @mvollmer1
-

IoT and Cyber-Physical Systems Transform Predictive Maintenance
By
–
By merging IoT connectivity with cyber-physical systems, maintenance shifts toward predictive models that reduce downtime, cut costs, improve efficiency, stabilize quality, and guide strategies with reliable data for sustainable long-term operations. Microblog by @antgrasso