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Implementing Machine Vision Algorithms for Detection and Analysis

Talks on building systems that interpret visual data. Topics include feature extraction, pattern recognition, and deploying models for industrial automation, robotics, and quality control.

Matching moments

Understanding the capabilities of Apple's Vision framework
01:38 MIN

Understanding the capabilities of Apple's Vision framework

Detect Hand Pose with Vision

How artificial intelligence augments RPA capabilities
02:52 MIN

How artificial intelligence augments RPA capabilities

How to achieve web automation with UiPath

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

Evaluating solutions for automated visual inspection
01:28 MIN

Evaluating solutions for automated visual inspection

How computers learn to see – Applying AI to industry

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

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

Exploring Apple's core machine learning frameworks
05:33 MIN

Exploring Apple's core machine learning frameworks

Harnessing Apple Intelligence: Live Coding with Swift for iOS

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

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

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

Exploring types of machine learning and their applications
04:10 MIN

Exploring types of machine learning and their applications

Intelligent Automation using Machine Learning

Q&A on starting a career in machine learning
08:20 MIN

Q&A on starting a career in machine learning

Making neural networks portable with ONNX

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

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

Key takeaways for applying AI in manufacturing
01:15 MIN

Key takeaways for applying AI in manufacturing

How computers learn to see – Applying AI to industry

Applying machine learning in the automotive industry
02:06 MIN

Applying machine learning in the automotive industry

Getting Started with Machine Learning

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

Using machine learning and swarm data for automated driving
02:23 MIN

Using machine learning and swarm data for automated driving

Software defines the vehicle: Why customers and developers will love cars even more

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

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

Creating a frictionless checkout with computer vision technology

Coffee with Developers

Building applications like intrusion and face detection
03:57 MIN

Building applications like intrusion and face detection

What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML?

Guiding AI image generation with visual inputs
05:21 MIN

Guiding AI image generation with visual inputs

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

Applying machine learning to automated driving and personalization
03:46 MIN

Applying machine learning to automated driving and personalization

How Machine Learning is turning the Automotive Industry upside down

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

Recognizing 21 distinct hand landmarks with Vision
03:16 MIN

Recognizing 21 distinct hand landmarks with Vision

Detect Hand Pose with Vision

Manually labeling data with Azure Custom Vision
02:59 MIN

Manually labeling data with Azure Custom Vision

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

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

Automating post-production vehicle logistics on plant grounds
06:01 MIN

Automating post-production vehicle logistics on plant grounds

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

Designing an efficient event-driven vision architecture
04:41 MIN

Designing an efficient event-driven vision architecture

Computer Vision from the Edge to the Cloud done easy

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

How machine learning creates value from automotive data
04:09 MIN

How machine learning creates value from automotive data

How Machine Learning is turning the Automotive Industry upside down

AI is moving from the screen to the physical world
02:26 MIN

AI is moving from the screen to the physical world

Robots 2.0: When artificial intelligence meets steel

Deciding between pre-trained and custom vision models
01:22 MIN

Deciding between pre-trained and custom vision models

Computer Vision from the Edge to the Cloud done easy

Envisioning the future of testing with artificial intelligence
03:26 MIN

Envisioning the future of testing with artificial intelligence

How will artificial intelligence change the future of software testing?

Expanding vision to other creative applications
01:30 MIN

Expanding vision to other creative applications

Vision for Websites: Training Your Frontend to See

Using robots as mobile sensors for data acquisition
02:02 MIN

Using robots as mobile sensors for data acquisition

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

Matching Videos

Let your iOS app read texts
36:34

Let your iOS app read texts

Milan Todorovic

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

How computers learn to see – Applying AI to industry

Antonia Hahn

Trends, Challenges and Best Practices for AI at the Edge
29:50

Trends, Challenges and Best Practices for AI at the Edge

Ekaterina Sirazitdinova

Detect Hand Pose with Vision
28:51

Detect Hand Pose with Vision

Milan Todorovic

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

Harnessing Apple Intelligence: Live Coding with Swift for iOS
28:54

Harnessing Apple Intelligence: Live Coding with Swift for iOS

MIlan Todorović

Machine Learning in ML.NET
1:11:20

Machine Learning in ML.NET

Marco Zamana

Intelligent Automation using Machine Learning
2:11:02

Intelligent Automation using Machine Learning

Boris Krumrey & Andreas Palfi & Radu Pruna

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

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

AskUI - How to leverage Vision Agents for Test Automation

Jonas Menesklou

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

Making neural networks portable with ONNX
54:49

Making neural networks portable with ONNX

Ron Dagdag

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

Robots 2.0: When artificial intelligence meets steel
28:19

Robots 2.0: When artificial intelligence meets steel

Thomas Tomow

RPA in the Public Sector
28:36

RPA in the Public Sector

Clemens Schwaiger

Intelligence Everywhere: The Future of Consumer Tech
28:43

Intelligence Everywhere: The Future of Consumer Tech

Leif Lindner, Annika Grosse & Alejandro Saucedo

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

Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More
1:09:49

Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More

Simi Olabisi

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

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

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

Python Data Visualization @ Deepnote (w/ PyViz overview)

Radovan Kavický

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

Computer Vision from the Edge to the Cloud done easy

Flo Pachinger

What is relational learning and why does it matter?
28:00

What is relational learning and why does it matter?

Alexander Uhlig

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML
30:58

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

Daniel Brintzinger

Vision for Websites: Training Your Frontend to See
34:34

Vision for Websites: Training Your Frontend to See

Daniel Madalitso Phiri

Walkaround Sequence Full
00:52

Walkaround Sequence Full

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

Machine Learning for Software Developers (and Knitters)

Kris Howard

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

Using Containers to deploy AI Models across our microscopy platform

Sebastian Rhode

Building Better Apps with React Native
23:09

Building Better Apps with React Native

Marc Rousavy

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

Enhancing AI-based Robotics with Simulation Workflows
30:57

Enhancing AI-based Robotics with Simulation Workflows

Teresa Conceicao

How Machine Learning is turning the Automotive Industry upside down
26:55

How Machine Learning is turning the Automotive Industry upside down

Jan Zawadzki

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

From Model to Metal: An Open Source Stack for Accelerating Intelligence
17:18

From Model to Metal: An Open Source Stack for Accelerating Intelligence

Andrew Wafaa

Creating Industry ready solutions with LLM Models
58:00

Creating Industry ready solutions with LLM Models

Vijay Krishan Gupta & Gauravdeep Singh Lotey