Exciting research engineer opportunity @StanfordSVL , working with us on the future of computer vision, robotic learning and #AI!
MACHINE LEARNING
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Intelligent Robots Transform American Farm Operations
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This American farm is run by intelligent #Robots
— Ronald van Loon (@Ronald_vanLoon) 10 mars 2023
by @wef#MI #Robotics #RPA #Innovation #AI #MachineLearning
cc: @ronald_vanloon @pbalakrishnarao @chr1sa pic.twitter.com/3OEYeiHRmyThis American farm is run by intelligent #Robots
by @wef #MI #Robotics #RPA #Innovation #AI #MachineLearning cc: @ronald_vanloon @pbalakrishnarao @chr1sa -
Complete Guide to Business Process Automation: Benefits and Industry Examples
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Complete Guide to #Business Process #Automation: Benefits + Examples from Industry
by Noah Rue @BBNTimes_en Go to: https://
buff.ly/3nsfdv5 #AI #IoT #BigData #ArtificialIntelligence #MI #InternetofThings cc: @terenceleungsf @yvesmulkers @karpathy -
OpenXLA Expands Cerebras Wafer-Scale Engine ML Framework Access
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“OpenXLA helps extend our user reach and accelerated time to solution by providing the Cerebras Wafer-Scale Engine with a common interface to higher level ML frameworks,” says our VP of Product, Andy Hock Learn more about the OpenXLA Project here:
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Spatiotemporal Brain Dynamics in Deep Learning Architecture
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Transformative work by @t_andy_keller on how to build spatiotemporal (brain) dynamics in deep learning.
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PaLM-E: 562B Parameter Embodied Language Model for Robotics
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Today we share PaLM-E, a generalist, embodied language model for robotics. The largest instantiation, 562 billion parameters, is also a state-of-the-art visual-language model, has PaLM’s language skills, and can be successfully applied across robot types →https://t.co/iyaPdN4SfV pic.twitter.com/foXnzgZnWd
— Google AI (@GoogleAI) 10 mars 2023Today we share PaLM-E, a generalist, embodied language model for robotics. The largest instantiation, 562 billion parameters, is also a state-of-the-art visual-language model, has PaLM’s language skills, and can be successfully applied across robot types →
https://
goo.gle/3JsszmK -
Data2vec 2.0: 16x Faster Self-Supervised Learning for Vision, Speech, Text
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Created by Meta AI researchers, Data2vec 2.0 can train self-supervised models for vision, speech and text up to 16x faster than the most popular existing algorithm for images — achieving the same accuracy. Read more & access the code
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Hackathon Kick-off with AI Expert Panel Discussion
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Hackathon kick-off today! So excited to see all your awesome submissions. Keep a lookout for a panel discussion on Monday with @Nils_Reimers and Andrey Vasnetsov from @qdrant_engine See you soon!
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Weights Only Distribution Without Optimizer States
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We only provide the weights, no optimizer states.
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Bounties Platform Launches: Unexpected AI and Tech Use Cases Emerge
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1/ We launched Bounties 4 months ago. We thought the main use case would be normal coding projects such as integrations.
— Replit ⠕ (@Replit) 10 mars 2023
We were wrong!
Here are some of the most interesting Bounties posted over just the past month. ⬇️https://t.co/HwJScLa4Ka1/ We launched Bounties 4 months ago. We thought the main use case would be normal coding projects such as integrations. We were wrong! Here are some of the most interesting Bounties posted over just the past month.