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Google has released a preview of Gemini 2.5 Pro, which has a stronger performance in building web apps, code transformation, and multimodal reasoning.
Pinterest has upgraded its image-based search with new tools that help users narrow results and explore styles, launching first in the women's fashion category across select regions.
KEVIN-32B is a model leveraging reinforcement learning for multi-turn code generation that outperforms existing models in developing CUDA kernels. It boosts kernel performance and correctness by optimizing intermediate feedback and using efficient reward distribution. Multi-turn training enhances the model's problem-solving capability over single-turn approaches, particularly in more complex tasks.
AI model developers can ensure GDPR compliance during the development phase by using anonymous datasets or applying pseudonymization techniques. If anonymization isn't feasible, they can enhance data security and support data subjects' rights. Transparency measures, such as public communication about data usage, are also recommended.
Christiane Paul, curator at the Whitney Museum, highlights AI's role in digital art, contrasting historical programs like Harold Cohen's AARON with today's AI models. She stresses the importance of collaboration with engineers and the challenges of preserving digital art due to evolving technology. Paul argues that AI-generated visuals need a conceptual framework to be considered true art.
AutoRound is a post-training quantization method that boosts low-bit model accuracy while preserving performance and efficiency.
This survey explores how cross-modality techniques adapt large language models for time series analytics, focusing on data alignment, fusion, and downstream task performance across multiple domains.
Chain of Draft is a concise reasoning strategy that significantly reduces token usage while matching or exceeding Chain-of-Thought accuracy across complex tasks.
This evaluation toolkit provides standardized metrics to assess the quality and privacy of synthetic data across various data types using distributional and embedding-based measures.
Encoder/Decoder implementation of a Transformer with a Diffusion model as the decoder. It seems to work reasonably well on imagenet generation.
Nvidia has a suite of text and image embedding models that match SigLIP in many cases.
John Deere, a leading manufacturer of agricultural and construction equipment, used AI to boost farming efficiency with precision tools like See & Spray, which drastically cut chemical use by identifying individual weeds at high speeds.
Anthropic has enabled web search for all paid Claude plans, adding real-time lookups and source citations.
Google's Little Language Lessons leverage models for real-world language learning through experiments like Tiny Lesson, Slang Hang, and Word Cam.