Improved Gemini audio models for powerful voice experiences
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How to Maximize Agentic Memory for Continual Learning
Learn how to become an effective engineer with continual learning LLMs The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science.
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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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Drawing Shapes with the Python Turtle Module
A step-by-step tutorial that explores the Python Turtle Module The post Drawing Shapes with the Python Turtle Module appeared first on Towards Data Science.
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Deepening our partnership with the UK AI Security Institute
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
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Researchers discover a shortcoming that makes LLMs less reliable
Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks. The researchers found that models can mistakenly link certain sentence patterns to specific topics, so an LLM might give a convincing answer by recognizing familiar phrasing instead of understanding the […]
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3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It)
Data leakage is an often accidental problem that may happen in machine learning modeling.
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NVIDIA to reportedly increase production of H200 AI chip, as U.S. eases China export ban
Key Highlights: The past year has been anything but quiet for the global chip industry. While trade policy under the Trump administration has been a major talking point for months, a latest decision this week has suddenly pushed NVIDIA back into the spotlight. After prolonged uncertainty around AI chip exports, the U.S. government has finally become lenient. NVIDIA is reassessing H200 AI chip production capacity after getting green signal from Trump administration According to an exclusive report by […]
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EFF Tells Patent Office: Don’t Cut the Public Out of Patent Review
EFF has submitted its formal comment to the U.S. Patent and Trademark Office (USPTO) opposing a set of proposed rules that would sharply restrict the public’s ability to challenge wrongly granted patents. These rules would make inter partes review (IPR)—the main tool Congress created to fix improperly granted patents—unavailable in most of the situations where it’s needed most. If adopted, they would give patent trolls exactly what they want: a way to keep questionable patents alive and out […]
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Interview: From CUDA to Tile-Based Programming: NVIDIA’s Stephen Jones on Building the Future of AI
As AI models grow in complexity and hardware evolves to meet the demand, the software layer connecting the two must also adapt. We recently sat down with Stephen Jones, a Distinguished Engineer at NVIDIA and one of the original architects of CUDA. Jones, whose background spans from fluid mechanics to aerospace engineering, offered deep insights into NVIDIA’s latest software innovations, including the shift toward tile-based programming, the introduction of “Green Contexts,” and how AI is rewriting the rules […]
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