Joshua Newnham
@josh_newnham
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On behalf of the whole team I'm so proud to introduce the Foundation Models framework, an API to access our on-device LLM! Check out the Platforms State of the Union for an introduction and 4 sessions later today! https://t.co/0tqiNC7oyZ
#WWDC25
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My team is seeking a senior machine learning engineer who is creative, talented, and passionate about creating great products. For more information, please visit
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Checkout updates to Core ML, includes enhancements to run advanced generative AI models on device faster and more efficiently. #WWDC2024 #wwdc24
https://t.co/W6VHyG4Ym9
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"What do you call the person who sees things that other people do not see and hears things that other people do not hear, but both of those are vivid in the person’s mind? You call them visionary… Or you call them crazy." https://t.co/V1ooJpIgG0
@generalmagicmov @tfadell
daniellenewnham.medium.com
Interview with General Magic co-founder and visionary Marc Porat
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It was an honour to interview @rabovitz. He’s a true visionary, innovator and serial entrepreneur. A founder who has raised billions, made billions and all whilst inventing the future. https://t.co/H13UGPAbt5 Here’s what I learned from him: 👇
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"Accelerating TensorFlow Performance on Mac" from the TensorFlow Blog https://t.co/9L3yA7tkgU
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"Differentiable programming in Swift" proposal has landed in Swift Evolution forums https://t.co/qjgqSZEY3J .. exciting times ahead for @SwiftLang devs and machine-learners out there #s4tf
forums.swift.org
Hi Swift community, We have completed a comprehensive proposal for the differentiable programming feature we’ve been incubating over the last 1.5 years. We’ve gone over many iterations on the feature...
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AI content generation will bring about a revolution in video game design within the next 15 years. We'll generate graphical assets, levels, emergent ecosystems, gameplay... even entire games. One of the things I'm really looking forward to.
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There are few options for evaluating multilingual question answering outside of English, and especially few for open domain question answering. Yi Lu, @jodaiber, and I are excited to release an Open QA evaluation set, spanning 26 languages. [1/n] https://t.co/GK7Lh8OeoY
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Interactive Video Stylization Using Few-Shot Patch-Based Training @siggraph 2020 Paper: https://t.co/jGaLxY9fA2
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Neural Rendering (CVPR 2020) - Afternoon Session https://t.co/uWdmxeuFxO via @YouTube
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Neural Rendering (CVPR 2020) - Morning Session https://t.co/6ZiZGyDThk via @YouTube
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MLCompute, new in macOS BigSur and iOS 14, accelerates training of neural networks on CPU, GPU, and multiple GPUs (e.g., Radeon Pro Vega II Duo in a Mac Pro). It uses Accelerate framework’s high performance BNNS primitives for the CPU and Metal Performance Shaders for the GPU.
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