Archives: Livestream

In this episode, Kris Watson and Pete Bernard reveal a foundational truth of business and leadership: everything is downstream from the people you assemble and the culture you build. With 18 years as a Founding Recruiter, Kris has helped scale dozens of companies in the Edge Intelligence space. In this conversation, he and Pete dive deep into why talent density is the ultimate competitive advantage. Tune in as they explore:     •    The Upstream Effect: Why hiring is the root of every success and failure in business, plus the most common (and costly) pitfalls founders make when hiring.     •    The shocking frequency and true cost of bad early hires, and the simple process fixes that prevent them. Whether you’re a founder, manager, or building a world-class culture, this episode will fundamentally shift how you think about talent, team-building, and the real value of your people. The shocking frequency and cost of bad early hires from bad process, and the simple fixes.  Whether you’re a founder, a manager, or trying to build a world-class culture, this conversation will anchor how you look at talent, team-building, and the value of your people.

NPUs are rapidly becoming a core component of modern heterogeneous SoCs, alongside CPUs and GPUs—unlocking significant performance gains for edge AI. However, as hardware evolves, software integration remains a key challenge, with developers often lacking unified frameworks to efficiently leverage all available compute resources.

In this upcoming EDGE AI Talk, we explore a flexible deployment SDK built on open-source ecosystems that enables fast and efficient integration of NPUs, supporting a wide range of AI model types. Through a real-world case study using NXP’s i.MX 95 SoC, we demonstrate how NPU support for LLM workloads was achieved in under four months.

The session will also feature an end-user perspective, showcasing how this approach enables seamless access to heterogeneous acceleration in production edge AI systems.

This talk, titled “Edge AI Market Tracker and Forecast 2020–2030 PREVIEW features Knud Lasse Lueth, CEO of IoT Analytics, a leading provider of market insights for edge computing.

The session serves as a high-level preview of the company’s comprehensive research into the rapidly evolving edge AI landscape. Below is a description based on the event details:

Overview
As the demand for real-time decision-making and data privacy increases, processing power is shifting from the cloud to the “edge.” This talk explores the massive growth trajectory of the Edge AI market, which is projected to see a significant compound annual growth rate (CAGR) through 2030.

Key Discussion Points
Market Growth & Forecasts: A first look at the updated 2020–2030 market figures, including the hardware, software, and services driving the industry.

The Rise of IoT Intelligence: How the global installed base of edge devices—forecasted to exceed 40 billion by 2030—is becoming the “brains” of connected environments.

Key Technology Trends:

The adoption of tinyML on ultra-low-power microcontrollers.

The integration of AI capabilities directly into MCUs (Microcontroller Units).

The impact of 5G and RISC-V architecture on edge deployments.

Industry Applications: Real-world use cases across manufacturing (industrial AI), automotive (autonomous systems), and smart surveillance.

Strategic Insights: Where is the geographic center of the market shifting and what this means for global OEMs and vendors.

Join Qualcomm, Arduino, Edge Impulse, and Supplyframe DesignLab for a hands-on workshop exploring the new Arduino UNO Q and on-device AI.

Dive deep into building, optimizing, and deploying AI models on real hardware, as participants learn how to create their very own smart lighting system that changes colors and responds to their voices. Participants will collect sample data and build a model with Edge Impulse, assemble a custom-built LED board and enclosure to house an UNO Q, and deploy their edge AI model to the finished device.

This workshop took place at EDGE AI San Diego 2026.

Join Qualcomm, Arduino, Edge Impulse, and Supplyframe DesignLab for a hands-on workshop exploring the new Arduino UNO Q and on-device AI.

Dive deep into building, optimizing, and deploying AI models on real hardware, as participants learn how to create their very own smart lighting system that changes colors and responds to their voices. Participants will collect sample data and build a model with Edge Impulse, assemble a custom-built LED board and enclosure to house an UNO Q, and deploy their edge AI model to the finished device.

This workshop took place at EDGE AI San Diego 2026.

Generative AI is rapidly evolving beyond prediction and prompts toward systems that can reason, act autonomously, and interact with the physical world. At the edge, this shift introduces new constraints and new opportunities, including low latency, energy efficiency, hardware diversity, privacy, and real-time decision-making.

The v5 Generative Edge AI Forum brings together industry and academic leaders to explore how reasoning, agentic, and physical AI can be designed, deployed, and scaled at the edge, and what it will take to move these systems from concept to production.

AGENDA DAY 1:

• Fireside chat; Bill Curtis – Moor Insights with Pete Bernard

Session 1: Industry Applications & Consumer Solutions
Focus: Real-world implementation, use cases, and consumer-facing edge AI.

• Juan Pisula (Roofline): Increasing innovation speed for agentic systems at the edge through heterogeneous AI compilation.
• Ashutosh Pandey (Infineon Technologies): Energy-Efficient, Multi-Modal AI through Edge Language Models (ELMs) for MCUs.
• Anirban Bhattacharjee (Wipro Limited): Audio Use Cases on edge devices (AI PC) – Real-Time and Offline Multilingual audio translation use cases.
• Sreenivasa Reddy Hulubeedu Reddy (was AT&T Services Inc): The 3.2% Hallucination Rate That Almost Killed Our AI — And How We Fixed It.

Session 2: Agentic AI & Distributed Systems
Focus: Agentic behaviors, Physical AI, and multi-agent distributed solutions.

• Danilo Pietro Pau (STMicroelectronics): Vision Language to Actions: A practical guide.
• Vladislav Sovrasov (Intel): Full-Stack Robotics VLA: A PyTorch-Native Path from Data Collection to Edge Deployment with ExecuTorch and OpenVINO.
• David Aronchick (Expanso): Zero-Trust Data Access for Agentic AI at the Edge.
• Gajendra Singh (Ambient Scientific): A Mixed-Signal Computing Paradigm for Physical & Agentic AI at the Edge.

Generative AI is rapidly evolving beyond prediction and prompts toward systems that can reason, act autonomously, and interact with the physical world. At the edge, this shift introduces new constraints and new opportunities, including low latency, energy efficiency, hardware diversity, privacy, and real-time decision-making.

The v5 Generative Edge AI Forum brings together industry and academic leaders to explore how reasoning, agentic, and physical AI can be designed, deployed, and scaled at the edge, and what it will take to move these systems from concept to production.

AGENDA DAY 2:

Session 3: Hardware Optimization & Platform Resources
Focus: Performance breakthroughs in memory, workload optimization, and platform efficiency.

• Ritik Shrivastava (BrainChip): Running Generative AI Locally: An Open SSM Model for Edge Devices.
• Davis Sawyer (NXP): Domain-Specific Intelligence meets the Ara Discrete NPUs
• Vikash Kodati (Godel Space): From Orbit to Action: Running NASA Foundation Models on Edge Hardware for Real-Time Disaster Detection.
• Tara Khani (Moorcheh.ai by Edge AI Innovations): Total Recall at the Edge: A Deterministic Universal Memory Layer for Agentic AI.

Session 4: Academic & Research Foundations
Focus: Research-led insights and joint industry-academia collaborations.

• Henrik Flodell (Alif Semiconductor): Wearables Device Pilot.
• Marcus Rueb (foresthub.Ai): The Intelligent Service Technician for Industrial Machines: A Real-World Embedded Agent Use Case.

A daily livestream recap of what happened down in San Diego during this amazing EDGE AI event – with Pete Bernard and Ed Doran, plus special guests!

A livestream recap of what happened down in San Diego during this amazing EDGE AI event – with Pete Bernard and Ed Doran, plus special guests!

A livestream recap of what happened down in San Diego during this amazing EDGE AI event – with Pete Bernard and Ed Doran, plus special guests!