NVIDIA Research Shapes Physical AI
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If We Want Mamdani To Beat The NYPD, We Must Build Power
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Optimizing PyTorch Model Inference on AWS Graviton
Tips for accelerating AI/ML on CPU — Part 2 The post Optimizing PyTorch Model Inference on AWS Graviton appeared first on Towards Data Science.
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Gemini 3 Unpacked: What’s New for Developers
Google has launched Gemini 3 and claims it to be the most intelligent model yet, with the best reasoning, indicating significant progress in the use of AI in different modes. While previously, Gemini 3 had only restricted itself to mere language interactions, it has now entered the new era where AI not only comprehends commands but completes the entire task. This new feature is nothing short of a miracle for the developers who have been waiting for such […]
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Differences between transformer-based AI and the new generation of AI models
I frequently refer to OpenAI and the likes as LLM 1.0, by contrast to our xLLM architecture that I present as LLM 2.0. Over time, I received a lot of questions. Here I address the main differentiators. First, xLLM is a no-Blackbox, secure, auditable, double-distilled agentic LLM/RAG for trustworthy Enterprise AI, using 10,000 fewer (multi-)tokens, no vector database but Python-native, fast nested hashes in its original version, and no transformer to generate the structured output to a prompt. […]
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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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Google LiteRT NeuroPilot Stack Turns MediaTek Dimensity NPUs into First Class Targets for on Device LLMs
The new LiteRT NeuroPilot Accelerator from Google and MediaTek is a concrete step toward running real generative models on phones, laptops, and IoT hardware without shipping every request to a data center. It takes the existing LiteRT runtime and wires it directly into MediaTek’s NeuroPilot NPU stack, so developers can deploy LLMs and embedding models with a single API surface instead of per chip custom code. What is LiteRT NeuroPilot Accelerator? LiteRT is the successor of TensorFlow Lite. […]
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7 Pandas Performance Tricks Every Data Scientist Should Know
What I’ve learned about making Pandas faster after too many slow notebooks and frozen sessions The post 7 Pandas Performance Tricks Every Data Scientist Should Know appeared first on Towards Data Science.
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Lenovo Might Unveil the Leaked Legion Pro Rollable Gaming Laptop At CES 2026
In January this year, Lenovo announced the world’s first rollable PC, the Lenovo ThinkBook Plus Gen 6. The company took the stage at CES 2025 to reveal it and later made it available to the general public in June. Although the launch price was set for $3499, it’s now down by $200 and available via the Lenovo Store. For those who don’t know, that laptop comes with a 14-inch OLED panel that stretches upward into a tall 16.7-inch […]
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How to Create an ML-Focused Newsletter
Learn how to make a newsletter with AI tools The post How to Create an ML-Focused Newsletter appeared first on Towards Data Science.
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