Join my free workshop Intro to Computer Vision: Building Object Detection Models and Datasets on September 29th at 10:00 am PDT for hands-on experience creating object detection models with your own datasets!
With more restaurants facing worker shortages and employees taking on more work, the timing might be right for robot servers to gain traction.
When people hear about service automation they tend to think that it will create a dystopian feeling dining experience without human interaction. But in most cases the server robots only take over tasks that don’t…
This week in AI & Machine Learning: The NFL tackles CTE with AI, A roomba that avoids dog poop, NOLS keyhole imaging, AI that writes its own code, deep reinforcement learning, and more
Greetings! Sage is out this week on vacation, but we couldn’t leave our AI Weekly fans without an AI Weekly! Lots of exciting happenings this week in the AI world; but if I’m being honest the poop avoiding roomba ranks pretty high on my list–iykyk. Anyone else have a pumpkin spice latte this week or was that just me?
The NFL kicked off this week, and in…
Happy September! I’ve announced my next free computer vision workshop for September 29th at 10:00 am PDT! Join Intro to Computer Vision: Building Object Detection Models and Datasets for hands-on experience creating state of the art models with your own datasets!
Humanoid robots are not a new concept, but after the “Tesla bot” was announced at Tesla’s AI Day, there has been a debate around the efficiency of a humanoid design.
Boston Dynamics, who arguably has the most advanced humanoid robot, has even opted to explore other designs in their commercially available warehouse robot and robotic dog spot.
Earlier this week, I taught a workshop on how to build your own computer vision object detection models and dataset.
We covered computer vision applications, labeling datasets or object detection and instance segmentation, training models with detectron2, and running the model on a video!
You can watch the recording and find the useful links below:
Next week, I’ll be teaching Intro to Computer Vision: Building Object Detection Models and Datasets on August 25th at 5:30 pm PDT. It’ll be a fun, fast-paced workshop covering computer vision applications, data annotation, and training an object detection model with python!
Tesla held its AI day event on August 19th. At the event, we got an in-depth look at Tesla autopilot, the “dojo” deep neural network training computer, and a first glimpse of the Tesla Bot!
Checkout the full 3-hour announcement here, or watch the highlights from Lex Fridman below:
Plainsight was featured in the official blogs for both NVIDIA and Google Cloud! We also announced we’re joining the NVIDIA Metropolis program. Check out the links below:
OpenAI Codex for Programming
OpenAI released a new tool called Codex that can translate English into code! …
I’ve announced my next free computer vision workshop for August 25th at 5:30pm PDT! Join Intro to Computer Vision: Building Object Detection Models and Datasets for hands-on experience creating state of the art models with your own datasets!
Lex Fridman is back with some awesome AI content! This conversation with Ishan Misra from Facebook AI Research dives deep into computer vision, labeling datasets, self-supervised learning and much more! If you’re interested in the latest vision AI research it’s definitely worth a listen.
We’re excited to announce that Plainsight is now on Google Cloud MarketPlace!
“Enterprises Can Now Easily Deploy End-to-End Vision AI to Private Clouds to Realize the Full Value of Their Video and Other Visual Data for Accurate, Actionable, Insights Across Diverse Use Cases”
Derek Muller (a.k.a Veritasium) explores why how close we are to having fully autonomous vehicles become mainstream on the roads, and if they’re safer than human driven vehicles.
This video shows Waymo’s (Google’s) self-driving car progress and brings up some great questions about the future of the self-driving industry.
Computer Vision and the Olympic Games
The 2020 Tokyo Olympic Games kick off last Friday. As one of the most watched sporting events to occur worldwide, the Games will surely feature the use of the latest technology — not only by athletes and coaches but also by the broadcasting networks. We’ve written before about how computer vision is changing the way we understand sports from a statistical and strategic perspective — but how is vision AI changing the way we understand sports from the perspective from our living room couches?
The delayed 2020 Olympic Games will feature 33 different sports…
Next week I’ll be teaching Intro to Computer Vision: Building Object Detection Models and Datasets on July 29th at 10:00am PDT. It’ll be a fun fast-paced workshop covering computer vision applications, data annotation, and training an object detection model with python!
Google’s DeepMind just released a massive AlphaFold database containing a prediction of nearly all possible protein structures for human cells and 20 other “key organisms” to help accelerate scientific research!
DrQ-v2 is a model-free reinforcement learning algorithm for visual continuous control that uses data augmentation to learn directly from pixels.
the first model-free agent that solves humanoid from…
Vision AI, Simply Done.