Optimizing PyTorch Model Inference on CPU
Flyin’ Like a Lion on Intel Xeon The post Optimizing PyTorch Model Inference on CPU appeared first on Towards Data Science.
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A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play
What a simple puzzle game reveals about experimentation, product thinking, and data science The post A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play appeared first on Towards Data Science.
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New AI agent learns to use CAD to create 3D objects from sketches
Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice. MIT engineers are looking to ease CAD’s learning […]
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Have You Heard? 5 AI Podcast Episodes Listeners Loved in 2024
NVIDIA’s AI Podcast gives listeners the inside scoop on the ways AI is transforming nearly every industry. Since the show’s debut in 2016, it’s garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive technology for the visually impaired, wildfire alert systems and the Roblox online game platform. Here are the top five episodes of 2024: Driving Energy Efficiency, Sustainability The AI Podcast · NVIDIA’s Josh Parker on […]
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Jina AI Releases Jina-VLM: A 2.4B Multilingual Vision Language Model Focused on Token Efficient Visual QA
Jina AI has released Jina-VLM, a 2.4B parameter vision language model that targets multilingual visual question answering and document understanding on constrained hardware. The model couples a SigLIP2 vision encoder with a Qwen3 language backbone and uses an attention pooling connector to reduce visual tokens while preserving spatial structure. Among open 2B scale VLMs, it reaches state of the art results on multilingual benchmarks such as MMMB and Multilingual MMBench. https://arxiv.org/pdf/2512.04032 Architecture, overlapping tiles with attention pooling connector […]
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America’s Children Are Unwell, Says NYT—School Choice Should be Part of the Solution.
Colleen Hroncich When millions of children struggle to sit still, focus, and conform to rigid classroom expectations, it’s become an epidemic of ADHD and other disorders. The New York Times is beginning to consider what should have been obvious all along: Maybe the problem isn’t the children. Others, including my colleague Kerry McDonald, have been raising these concerns for years. As Kerry notes, Boston College psychology Professor Peter Gray has described ADHD as a “failure to adapt to […]
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Spotify’s new ‘Prompted Playlists’ feature curates highly-personalized playlists for you using AI
Key Highlights: Spotify isn’t shying away from bringing new AI features to its platform. The music-streaming giant has now announced a new feature that gives users more control over the service’s algorithm. Prompted Playlists is an evolved version of Spotify’s AI Playlists Well… that’s how Spotify is positioning the launch of its new “Prompted Playlists” feature. So, what’s new feature all about? Basically, it allows you to describe what you want to hear in a personalized playlist, which […]
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Get an in-depth look at Gemini 3 with CEO Sundar Pichai.
Sundar Pichai sits down with Logan Kilpatrick to discuss Gemini 3 on the Google AI: Release Notes podcast.
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WW-PGD: Projected Gradient Descent optimizer
Announcing: 𝗪𝗪-𝗣𝗚𝗗 — 𝗪𝗲𝗶𝗴𝗵𝘁𝗪𝗮𝘁𝗰𝗵𝗲𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗲𝗱 𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁 𝗗𝗲𝘀𝗰𝗲𝗻𝘁 I just released WW-PGD, a small PyTorch add-on that wraps standard optimizers (SGD, Adam, AdamW, etc.) and applies an epoch-boundary spectral projection using WeightWatcher diagnostics. Elevator pitch: WW-PGD explicitly nudges each layer toward the Exact Renormalization Group (ERG) critical manifold during training. 𝗧𝗵𝗲𝗼𝗿𝘆 𝗶𝗻 𝘀𝗵𝗼𝗿𝘁 • HTSR critical condition: α ≈ 2 • SETOL ERG condition: trace-log(λ) over the spectral tail = 0 WW-PGD makes these explicit optimization targets, rather than […]
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