Try:

Computer Vision: Image Recognition, Object Detection, and Implementation

Watch expert talks on building systems that interpret visual data. Sessions cover feature extraction, model training, and deploying computer vision pipelines using libraries like OpenCV and TensorFlow.

Matching moments

Defining computer vision and its real-world applications
05:56 MIN

Defining computer vision and its real-world applications

Computer Vision from the Edge to the Cloud done easy

Defining vision as the ability to deduce and understand
01:07 MIN

Defining vision as the ability to deduce and understand

Vision for Websites: Training Your Frontend to See

Enhancing computer vision pipelines with C-Cloudy CV
00:48 MIN

Enhancing computer vision pipelines with C-Cloudy CV

Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere

Advanced methods for robust computer vision models
03:31 MIN

Advanced methods for robust computer vision models

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

A live demo of a robot's vision and AI brain
04:39 MIN

A live demo of a robot's vision and AI brain

Robots 2.0: When artificial intelligence meets steel

Applying computer vision to automate insect counting
02:42 MIN

Applying computer vision to automate insect counting

Smart, Connected, Unexpected: The Wild Side of IoT and AI

AI-powered computer vision workflows in modern microscopy
03:58 MIN

AI-powered computer vision workflows in modern microscopy

Using Containers to deploy AI Models across our microscopy platform

The inefficiency of modern computer vision models
00:51 MIN

The inefficiency of modern computer vision models

Focoos AI: Building the Future of Computer Vision

A demo of client-side AI using the NPU
02:46 MIN

A demo of client-side AI using the NPU

Privacy-first in-browser Generative AI web apps: offline-ready, future-proof, standards-based

Creating a frictionless checkout with computer vision technology
05:08 MIN

Creating a frictionless checkout with computer vision technology

Coffee with Developers

Defining the problem of juggling pattern detection
03:26 MIN

Defining the problem of juggling pattern detection

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Understanding AI use cases for computer vision
02:00 MIN

Understanding AI use cases for computer vision

How computers learn to see – Applying AI to industry

Counting people with thermal cameras for compliance
03:35 MIN

Counting people with thermal cameras for compliance

Smart, Connected, Unexpected: The Wild Side of IoT and AI

How artificial intelligence augments RPA capabilities
02:52 MIN

How artificial intelligence augments RPA capabilities

How to achieve web automation with UiPath

Choosing the right data source for ad detection
02:29 MIN

Choosing the right data source for ad detection

Shoot for the moon - machine learning for automated online ad detection

Extending automation to desktop applications
01:00 MIN

Extending automation to desktop applications

AskUI - How to leverage Vision Agents for Test Automation

Q&A on automotive technologies and legal liability
07:29 MIN

Q&A on automotive technologies and legal liability

The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges

Exploring diverse ML workloads with Transformers.js
01:54 MIN

Exploring diverse ML workloads with Transformers.js

Prompt API & WebNN: The AI Revolution Right in Your Browser

Understanding UiPath's robotic process automation platform
07:39 MIN

Understanding UiPath's robotic process automation platform

Intelligent Automation using Machine Learning

The technical mechanics of UiPath web automation
05:45 MIN

The technical mechanics of UiPath web automation

How to achieve web automation with UiPath

Understanding the key components of a vision system
02:16 MIN

Understanding the key components of a vision system

Computer Vision from the Edge to the Cloud done easy

Implementing person detection with machine learning
00:58 MIN

Implementing person detection with machine learning

Making Smart Machines Smarter: The Building of A Smart Drink Delivery Robot

Applying similar techniques for human body pose detection
01:28 MIN

Applying similar techniques for human body pose detection

Detect Hand Pose with Vision

Live demonstration of the autonomous hat-hunting robot
02:09 MIN

Live demonstration of the autonomous hat-hunting robot

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML

Unlocking insights with multimodal video analysis
02:44 MIN

Unlocking insights with multimodal video analysis

What’s New with Google Gemini?

The difficulty of detecting fevers with thermal cameras
03:27 MIN

The difficulty of detecting fevers with thermal cameras

Smart, Connected, Unexpected: The Wild Side of IoT and AI

Use case: AI-driven foreign object detection in manufacturing
02:36 MIN

Use case: AI-driven foreign object detection in manufacturing

From Factory Floor to Kubernetes Core: Building an Edge Platform One Step at a Time

Building an environmental model with LiDAR IoT sensors
04:26 MIN

Building an environmental model with LiDAR IoT sensors

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies

Introducing the KnitML project to reverse engineer knitting
05:40 MIN

Introducing the KnitML project to reverse engineer knitting

Machine Learning for Software Developers (and Knitters)

Understanding that AI will continuously improve over time
04:38 MIN

Understanding that AI will continuously improve over time

AI is the Future of Accessibility - Karl Groves

A novel approach to self-driving cars
04:42 MIN

A novel approach to self-driving cars

On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization

Tracing a 20-year journey through AI's evolution
05:32 MIN

Tracing a 20-year journey through AI's evolution

Google Gemma and Open Source AI Models - Clement Farabet

Uncovering racial and gender bias in facial recognition
06:58 MIN

Uncovering racial and gender bias in facial recognition

Algorithmic Bias- Preventing Unfairness in your Algorithms

Q&A on data, constraints, and local optima
07:24 MIN

Q&A on data, constraints, and local optima

On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization

Using an adversarial pattern t-shirt to evade detection
01:48 MIN

Using an adversarial pattern t-shirt to evade detection

Confuse, Obfuscate, Disrupt: Using Adversarial Techniques for Better AI and True Anonymity

Common issues and limitations in hand pose detection
01:20 MIN

Common issues and limitations in hand pose detection

Detect Hand Pose with Vision

Matching Videos

Computer Vision from the Edge to the Cloud done easy
48:38

Computer Vision from the Edge to the Cloud done easy

Flo Pachinger

Let your iOS app read texts
36:34

Let your iOS app read texts

Milan Todorovic

Focoos AI: Building the Future of Computer Vision
04:18

Focoos AI: Building the Future of Computer Vision

Antonio Tavera

Detect Hand Pose with Vision
28:51

Detect Hand Pose with Vision

Milan Todorovic

How computers learn to see – Applying AI to industry
22:11

How computers learn to see – Applying AI to industry

Antonia Hahn

Smart, Connected, Unexpected: The Wild Side of IoT and AI
25:29

Smart, Connected, Unexpected: The Wild Side of IoT and AI

Pawel Skiba

Using Containers to deploy AI Models across our microscopy platform
23:56

Using Containers to deploy AI Models across our microscopy platform

Sebastian Rhode

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies
48:54

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies

Oliver Zimmert

Machine Learning for Software Developers (and Knitters)
49:45

Machine Learning for Software Developers (and Knitters)

Kris Howard

Confuse, Obfuscate, Disrupt: Using Adversarial Techniques for Better AI and True Anonymity
27:34

Confuse, Obfuscate, Disrupt: Using Adversarial Techniques for Better AI and True Anonymity

David vonThenen

Intelligent Automation using Machine Learning
2:11:02

Intelligent Automation using Machine Learning

Boris Krumrey & Andreas Palfi & Radu Pruna

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML
39:58

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

The pitfalls of Deep Learning - When Neural Networks are not the solution
32:54

The pitfalls of Deep Learning - When Neural Networks are not the solution

Adrian Spataru & Bohdan Andrusyak

How to build a sovereign European AI compute infrastructure
29:36

How to build a sovereign European AI compute infrastructure

Markus Hacker, Daniel Abbou, Rosanne Kincaid-Smith & Michael Bradley

Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere
19:39

Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere

Andrew Waafa

Enhancing AI-based Robotics with Simulation Workflows
30:57

Enhancing AI-based Robotics with Simulation Workflows

Teresa Conceicao

The shadows of reasoning – new design paradigms for a gen AI world
25:14

The shadows of reasoning – new design paradigms for a gen AI world

Jonas Andrulis

Unboxing the DeepFace
45:19

Unboxing the DeepFace

Sefik Serengil

Deepfakes in Realtime - How Neural Networks Are Changing Our World
46:42

Deepfakes in Realtime - How Neural Networks Are Changing Our World

Thomas Endres & Martin Förtsch & Jonas Mayer

Making Smart Machines Smarter: The Building of A Smart Drink Delivery Robot
03:42

Making Smart Machines Smarter: The Building of A Smart Drink Delivery Robot

Hazal Mestci

The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges
1:47:33

The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges

Georg Kühberger & Manuel Pascual

Google Gemma and Open Source AI Models - Clement Farabet
47:25

Google Gemma and Open Source AI Models - Clement Farabet

AskUI - How to leverage Vision Agents for Test Automation
04:42

AskUI - How to leverage Vision Agents for Test Automation

Jonas Menesklou

Metaverse, the workplace of the future - Holoportation, the next generation of communication
29:43

Metaverse, the workplace of the future - Holoportation, the next generation of communication

Nahed Hatahet

XR Demystified: Separating Facts from Fiction in 2024
30:46

XR Demystified: Separating Facts from Fiction in 2024

Rafał Legiędź

Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!
29:34

Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!

Falk-Moritz Schaefer

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects
48:01

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

Mobile AI Just Got Faster: What’s Coming for Developers on Arm
23:09

Mobile AI Just Got Faster: What’s Coming for Developers on Arm

Gian Marco Iodice

Coffee with Developers
51:37

Coffee with Developers

Andreas König & Sead Ahmetovic

How to achieve web automation with UiPath
2:01:35

How to achieve web automation with UiPath

Alp Uguray

On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization
42:18

On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization

Francis Powlesland & Elena Kotljarova

Privacy-first in-browser Generative AI web apps: offline-ready, future-proof, standards-based
30:13

Privacy-first in-browser Generative AI web apps: offline-ready, future-proof, standards-based

Maxim Salnikov

Shoot for the moon - machine learning for automated online ad detection
31:23

Shoot for the moon - machine learning for automated online ad detection

Humera Minhas & Parinitha Hirehal

On developing smartphones on wheels
1:51:43

On developing smartphones on wheels

Hans-Jürgen Eidler

When worlds collide: How will generative AI change the way we design and build software
44:00

When worlds collide: How will generative AI change the way we design and build software

Jonas Andrulis & Mike Butcher

Python Data Visualization @ Deepnote (w/ PyViz overview)
50:38

Python Data Visualization @ Deepnote (w/ PyViz overview)

Radovan Kavický