Break Down Boundaries! 8 Ways #Students Can Dive Into #STEM & #STEAM with #NASA in 2023 @NASA https://
bit.ly/NasaSTEAM #education @psb_dc @helene_wpli #Webb #dataScientist @TeachersPLN #Space #AI #ML @MatthewSekol @DigitalColmer @Paula_Piccard @michaeldacosta @IamNankpak
INNOVATION
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NASA STEM STEAM Education: 8 Ways Students Explore
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Balancing Peer Review Contributions in Academic Publishing
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A rough count gave about 14. Each of these papers has at least 3 authors (most have more), and each got ~3 reviews, meaning that to remain review neutral, I'd need to do ~14 reviews.
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Abacus AI Simplifies ML Deployment with End-to-End Solutions
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The average machine learning engineer spends 98% of their time stitching services together. At @abacusai
, we take data from you, train a model, deploy it and give you an endpoint you can use immediately. Less complexity → More time to focus on what truly matters. -
2022 Conference Review Activity Across Seven ML Programs
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2022's year in reviews: I did 28 conference reviews, plus 42 meta-reviews, on 7 program committees (COLT, UAI, NeurIPS, SaTML, ICLR, USENIX Security, ALT). I also chaired two #ICML2022 workshops (TPDP and UpML). Numbers are down from last year, so why do I feel more tired…
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5G standalone infrastructure essential for Apple mixed reality scaling
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Much of the 5G network in the US remains non standalone 5G. It will require stand-alone 5G to scale mixed reality. Also 2023 was reported target for VR headset from Apple not AR & Mixed reality glasses which face more complexity challenges with 24 to 25 reported as timelines.
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The Future of AI: What Business Leaders Need to Know
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I just published The Future of AI: What Business Leaders Need to Know https://
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The Future of AI: What Business Leaders Need to Know
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Check out my latest article: The Future of AI: What Business Leaders Need to Know https://
linkedin.com/pulse/future-a
i-what-business-leaders-need-know-ganesh-padmanabhan
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Keras: High-Level Neural Network Library Built on TensorFlow
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6. Keras Keras is a high-level library for building and training neural networks. It is built on top of TensorFlow and provides a simple and intuitive interface for defining and training models. It is well-suited for quick prototyping. https://
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TensorFlow: Google’s Open-Source Machine Learning Platform
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5. TensorFlow TensorFlow is an open-source machine-learning library developed by Google. It provides a flexible and efficient platform for building, training, and deploying machine learning models, including support for deep learning. https://
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PyTorch: Facebook’s Open-Source Deep Learning Framework
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4. PyTorch PyTorch is an open-source machine-learning library developed by Facebook. It is a popular choice for deep learning and provides support for dynamic computation graphs, which allow for more flexible and efficient model design. https://
pytorch.org