This #Robot Uses Lasers to Autonomously Eradicate Weeds
by @carbon_robotics #MI #Robotics #Innovation #Automation #FutureOfWork cc: @ronald_vanloon @pbalakrishnarao @chr1sa
AI
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Robot Uses Lasers to Autonomously Eradicate Weeds
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Energy Consumption of AI and ChatGPT Remains Unclear
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How Much Energy Do #AI and ChatGPT Use? No One Knows For Sure https://
bloomberg.com/news/articles/
2023-03-09/how-much-energy-do-ai-and-chatgpt-use-no-one-knows-for-sure
… via @GoogleNews -
OpenCV Face Recognition on Real and AI-Generated Faces
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Ever wondered if facial recognition technology works on AI-generated faces as well as it does on real ones?
— Satya Mallick (@LearnOpenCV) 9 mars 2023
Check out our latest read, where we walk through the process of testing OpenCV Face Recognition on both real & AI-generated faces.https://t.co/ZDjeJG2QuL
We'll dive into… pic.twitter.com/ARKKYekPvrEver wondered if facial recognition technology works on AI-generated faces as well as it does on real ones?
Check out our latest read, where we walk through the process of testing OpenCV Face Recognition on both real & AI-generated faces. https://
learnopencv.com/opencv-face-re
cognition-api/
… We'll dive into -

AI21 Labs Launches Jurassic-2 and Task-Specific APIs
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Exciting news! We've launched Jurassic-2 and our task-specific APIs! Both are major game-changers, with Jurassic-2's new and improved capabilities, and our APIs' plug-and-play reading & writing functions that outperform competitors. Read more: https://
ai21.com/blog/introduci
ng-j2
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Naming Non-Foundation ML Models: Attic Models Proposal
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Petition to define the name for all ML models that are NOT Foundation models. Attic models or ?
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DeepSparse Project Completion and Data Science Tutorials
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That's a wrap! You can read more about DeepSparse here https://
neuralmagic.com/deepsparse/ Everyday, I share tutorials around Data Science & Machine Learning. You can find me → @Sumanth_077 Like/RT the first tweet to support my work and help this reach more people -

Deploying YOLOv5 Object Detection with DeepSparse Pipeline
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Here's another simple example of deploying a YOLOv5 object detection model using the DeepSparse Pipeline. Check out the Github Repo here: http://
github.com/neuralmagic/de
epsparse
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DeepSparse: Run GPU-Speed Models on CPUs with Sparse Execution
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DeepSparse does this by sparse execution which is removing redundant information from a trained deep learning model. This allows them to run on CPUs – at GPU speeds and better Now it's available in the AWS marketplace for pennies Check it out here https://
tinyurl.com/build-with-dee
psparse
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DeepSparse: GPU-Class ML Inference Performance on CPUs
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Latency is critical when deploying machine learning models for real-time inference But running large models at low latency requires expensive hardware. DeepSparse enables the deployment of large models with GPU-class performance on CPUs Here is how DeepSparse does it: