Ian Cutress mentions that "out of all the companies listed, Cerebras is perhaps the most unique. [They have] developed technology that allows for cross reticle stitching, allowing them to build a processor that is as big as a dinner plate." Watch here: https://
hubs.li/Q01wjpD20
AI
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Cerebras Develops Dinner Plate-Sized AI Processor Technology
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Groq Powers Next-Gen Crypto Exchange with OneNanoExchange
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We're proud to be working with @OneNanoExchange and their team to power their next-gen #crypto exchange. The low latency and predictable performance of @GroqInc solutions will mean a more transparent and secure platform. Read more about our partnership at http://
groq.link/onenanopr. -
ImageNetX: Identifying Vision System Failures at Scale
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Even today’s best #deeplearning vision systems can fail when pose/lighting/background vary. Our work on ImageNetX is one of the first large scale efforts to pinpoint mistake types of in AI computer vision systems. Explore the dataset
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DataRobot Named Leader in IDC MLOps Platforms Assessment
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Managing, monitoring, and governing #AI at scale is challenging, but the right #ML platform makes operations possible. See why DataRobot was recognized as a Leader in the IDC MarketScape: Worldwide MLOps Platforms 2022 Vendor Assessment. https://
bit.ly/3jgioad -
Capturing Market Opportunity in Trillion Dollar AI Sector
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Yes that was my point too, $1 trillion pie where you can take a small bite is gigantic, 0.0001% of that is $1M
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Artificial Curiosity and Creativity: Schmidhuber’s Foundational Work Since 1990
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Artificial Curiosity & Creativity Since 1990-91 Jürgen Schmidhuber : https://
people.idsia.ch/~juergen/artif
icial-curiosity-since-1990.html
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Learning tech early provides competitive advantage against big companies
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me: i think by learning the tech and understand it now u can have advantage, there will always be big companies with more money doing things but i not sure either cause he does have a point
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AI Moat Challenge: Learning and Building in Open Tech Landscape
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Discussion with my friend: my friend: What's the point of learning this AI stuff or even building AI stuff if there's no moat anyway? It's all open tech and even if you learn and make something it'll just get outcompeted/copied by someone else later?
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Barriers to Enterprise Adoption of Advanced ML Models
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Tons. 1) the brilliant researchers working on these models don’t know how to run an ML business 2) cost 3) performance, guardrails, safety 4) infosec/org/legal approval for use in-house 5) power concentration/small talent pool of folks that know this tech
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Dusty Robotics Recruiting Interns for Summer 2023
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Yes we are looking for interns for summer 2023! Shoot us a note at jobs@dustyrobotics.com