Loading video...

Video Failed to Load

Go Home

AI agents are evolving and becoming more proactive. From cloud-based to on-device, these systems can run continuously, handle tasks, and keep sensitive data local. New Liquid Foundation Models bring agents directly to your laptop and phone, even while you are offline. Watch the latest episode of Advanced Insights to...

AMD's profile picture

AMD

1,278,052 subscribers

29,388 views • 2 months ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

ICYMI: AI is going local. AMD and @LiquidAI are enabling on-device agents that are more secure and efficient. Watch the latest Advanced Insights episode to learn more:
0:56

ICYMI: AI is going local. AMD and @LiquidAI are enabling on-device agents that are more secure and efficient. Watch the latest Advanced Insights episode to learn more:

AMD

19,483 views • 2 months ago

Bringing AI agents to the PC requires efficiency, speed, and smart memory management. AMD and Liquid AI are partnering to enable foundational models on PCs and end-point devices to address the real-world challenges of running AI agents locally. Liquid AI Co-founder and CEO Ramin explains how we are helping make on-device AI practical and accessible.
0:47

Bringing AI agents to the PC requires efficiency, speed, and smart memory management. AMD and Liquid AI are partnering to enable foundational models on PCs and end-point devices to address the real-world challenges of running AI agents locally. Liquid AI Co-founder and CEO Ramin explains how we are helping make on-device AI practical and accessible.

AMD

20,716 views • 4 months ago

It’s now easier to move local agents to the cloud so they can keep working with your laptop closed. Prompt Cursor from your phone, run many agents in parallel, and get back PRs with demos of their work.
0:28

It’s now easier to move local agents to the cloud so they can keep working with your laptop closed. Prompt Cursor from your phone, run many agents in parallel, and get back PRs with demos of their work.

Cursor

910,317 views • 21 days ago

We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:
0:41

We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:

Snowflake

11,011 views • 1 year ago

Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more:
0:44

Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more:

NVIDIA AI

11,078 views • 2 months ago

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓
0:37

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

Box

227,222 views • 4 months ago

In Episode 4 of Advanced Insights, Amin Vahdat, Engineering Fellow and VP of Machine Learning, Systems and Cloud AI at Google, and Mark Papermaster discuss the 5th Epoch of Distributed Computing, Moore’s Law, and more. Watch on YouTube:
1:12

In Episode 4 of Advanced Insights, Amin Vahdat, Engineering Fellow and VP of Machine Learning, Systems and Cloud AI at Google, and Mark Papermaster discuss the 5th Epoch of Distributed Computing, Moore’s Law, and more. Watch on YouTube:

AMD

13,405 views • 2 years ago

Agents are evolving from single-use bots to collaborative systems. The open Agent2Agent (A2A) protocol, coming soon to Azure AI Foundry and Microsoft Copilot Studio, makes it possible. Learn more:
0:25

Agents are evolving from single-use bots to collaborative systems. The open Agent2Agent (A2A) protocol, coming soon to Azure AI Foundry and Microsoft Copilot Studio, makes it possible. Learn more:

Microsoft Cloud

57,790 views • 1 year ago

Building the future of AI requires the right foundation. AMD is partnering with Liquid AI to help advance open, efficient AI development. Together, we’re committed to open-source innovation and providing solutions that enable users to keep up with the pace of change. Listen to Liquid AI Co-founder and CEO, Ramin, to hear how progress scales with collaboration.
1:06

Building the future of AI requires the right foundation. AMD is partnering with Liquid AI to help advance open, efficient AI development. Together, we’re committed to open-source innovation and providing solutions that enable users to keep up with the pace of change. Listen to Liquid AI Co-founder and CEO, Ramin, to hear how progress scales with collaboration.

AMD

24,054 views • 5 months ago

💥AI is no longer confined to the cloud. At Computex, Jack Huynh showcased the AMD Ryzen AI Halo and Ryzen AI Max PRO 400 Series processors. The next wave of innovation will be built, trained, and run locally. As AI evolves from chatbots to intelligent agents, developers and enterprises need the performance, memory capacity, and flexibility to bring these experiences to life directly on the device. ⚡ Ryzen AI Halo enables local AI development with support for models up to 200B parameters, up to 128GB of unified memory, ROCm optimization, and Windows + Linux support. ⚡ Ryzen AI Max PRO 400 Series combines AI, graphics, and compute in a single architecture, delivering workstation-class performance for next-gen Agent Computers and AI PCs. Some of the most impactful AI experiences will happen right at your desk, where latency, privacy, and control matter most. We're just getting started.
1:24

💥AI is no longer confined to the cloud. At Computex, Jack Huynh showcased the AMD Ryzen AI Halo and Ryzen AI Max PRO 400 Series processors. The next wave of innovation will be built, trained, and run locally. As AI evolves from chatbots to intelligent agents, developers and enterprises need the performance, memory capacity, and flexibility to bring these experiences to life directly on the device. ⚡ Ryzen AI Halo enables local AI development with support for models up to 200B parameters, up to 128GB of unified memory, ROCm optimization, and Windows + Linux support. ⚡ Ryzen AI Max PRO 400 Series combines AI, graphics, and compute in a single architecture, delivering workstation-class performance for next-gen Agent Computers and AI PCs. Some of the most impactful AI experiences will happen right at your desk, where latency, privacy, and control matter most. We're just getting started.

AMD

23,943 views • 1 month ago

Our AI agent catalog keeps expanding. It allows you to one-click deploy and run AI agents on SwarmNode. This time we are enabling AI agents to work on TVMaze data.
0:30

Our AI agent catalog keeps expanding. It allows you to one-click deploy and run AI agents on SwarmNode. This time we are enabling AI agents to work on TVMaze data.

SwarmNode.ai

11,840 views • 11 months ago

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:
2:23

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:

Andrew Ng

203,595 views • 7 months ago

Meet watsonx, our AI and data platform built for business. Leveraging the power of foundation models, generative AI and ML, #watsonx can make the most of your data and offers trusted, scalable, adaptable #AI to embed deep into your business. Learn more:
0:51

Meet watsonx, our AI and data platform built for business. Leveraging the power of foundation models, generative AI and ML, #watsonx can make the most of your data and offers trusted, scalable, adaptable #AI to embed deep into your business. Learn more:

IBM

13,319 views • 3 years ago

$MSFT announced Project Solara at Build which is a new AI device architecture built around autonomous agents running locally while staying connected to cloud data centers. $NVDA CEO Jensen Huang said the partnership brings autonomous agents directly to the PC.
1:22

$MSFT announced Project Solara at Build which is a new AI device architecture built around autonomous agents running locally while staying connected to cloud data centers. $NVDA CEO Jensen Huang said the partnership brings autonomous agents directly to the PC.

Shay Boloor

78,833 views • 1 month ago

Deploy your AI Agents on NodeAI today! Leverage our high-performance GPU infrastructure to scale, optimize, and bring your AI agents to life—faster and more cost-effectively. #AI #NodeAI #GPU
0:20

Deploy your AI Agents on NodeAI today! Leverage our high-performance GPU infrastructure to scale, optimize, and bring your AI agents to life—faster and more cost-effectively. #AI #NodeAI #GPU

Node AI | $GPU

32,780 views • 1 year ago

If you haven’t seen already, watch our CTO, Ken Silverman making the demo of our decentralized CRM systems latest features updates. From #AI data fills, call-agents and, AI generated data views., to registering real property to its owner using personal ID, You are not ready to get your mind blown. #Blockchain #Ethereum #RWA
15:41

If you haven’t seen already, watch our CTO, Ken Silverman making the demo of our decentralized CRM systems latest features updates. From #AI data fills, call-agents and, AI generated data views., to registering real property to its owner using personal ID, You are not ready to get your mind blown. #Blockchain #Ethereum #RWA

𝗗𝗲𝗹𝗡𝗼𝗿𝘁𝗲

13,221 views • 1 year ago

AI agents can handle tasks for us — but at what cost to control and privacy? 🎧#TheTake's host, Malika Bilal, speaks with Grace Huckins for our latest episode:
0:42

AI agents can handle tasks for us — but at what cost to control and privacy? 🎧#TheTake's host, Malika Bilal, speaks with Grace Huckins for our latest episode:

Al Jazeera English Podcasts

28,748 views • 11 months ago

How do you scale AI at speed while building trust at every step? In the latest episode of Advanced Insights, Harvard University's Kathy Pham joins Mark Papermaster to discuss why the answer is shifting left to bring responsible AI practices into every stage of development, so teams can innovate with confidence. Watch the full episode now:
1:26

How do you scale AI at speed while building trust at every step? In the latest episode of Advanced Insights, Harvard University's Kathy Pham joins Mark Papermaster to discuss why the answer is shifting left to bring responsible AI practices into every stage of development, so teams can innovate with confidence. Watch the full episode now:

AMD

13,077 views • 21 days ago