Latest AI & Business News
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Fiat Grande Panda 2025 Review: Prices, Specs, Availability
This confident and appealing urban EV has bags of charm, history, and usefulness built in—and it could well be the best choice for anyone’s first electric car.
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Two new games you can play basically forever
Hi, friends! Welcome to Installer No. 70, your guide to the best and Verge-iest stuff in the world. (If youâre new here, welcome, go Chiefs I guess, and also you can read all the old editions at the Installer homepage.) This week, Iâve been reading about kicking sugar and NBA trades and the rise of…
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Trump vs. Twitter: The president takes on social media moderation
After Twitter gave one of President Trump’s tweets a modest reality check, the president threatened to “shut down” social media companies, personally targeted a Twitter employee, and signed an executive order that would affect the entire internet. It’s the latest salvo in a long-simmering feud between the president and his favorite social media platform. Although he has…
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Life on Earth Depends on Networks of Ocean Bacteria
Nanotube bridge networks grow between the most abundant photosynthetic bacteria in the oceans, suggesting that the world is far more interconnected than anyone realized.
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Kyutai Releases Hibiki: A 2.7B Real-Time Speech-to-Speech and Speech-to-Text Translation with Near-Human Quality and Voice Transfer
Real-time speech translation presents a complex challenge, requiring seamless integration of speech recognition, machine translation, and text-to-speech synthesis. Traditional cascaded approaches often introduce compounding errors, fail to retain speaker identity, and suffer from slow processing, making them less suitable for real-time applications like live interpretation. Additionally, existing simultaneous translation models struggle to balance accuracy and…
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ChunkKV: Optimizing KV Cache Compression for Efficient Long-Context Inference in LLMs
Efficient long-context inference with LLMs requires managing substantial GPU memory due to the high storage demands of key-value (KV) caching. Traditional KV cache compression techniques reduce memory usage by selectively pruning less significant tokens, often based on attention scores. However, existing methods assess token importance independently, overlooking the crucial dependencies among tokens for preserving semantic…
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This AI Paper Introduces MAETok: A Masked Autoencoder-Based Tokenizer for Efficient Diffusion Models
Diffusion models generate images by progressively refining noise into structured representations. However, the computational cost associated with these models remains a key challenge, particularly when operating directly on high-dimensional pixel data. Researchers have been investigating ways to optimize latent space representations to improve efficiency without compromising image quality. A critical problem in diffusion models is…
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The Recruitment Effort That Helped Build Elon Musk’s DOGE Army
At least three individuals associated with Palantir or its cofounder Peter Thiel were involved in an online recruiting effort for DOGE late last year, WIRED has learned.
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Sundial: A New Era for Time Series Foundation Models with Generative AI
Time series forecasting presents a fundamental challenge due to its intrinsic non-determinism, making it difficult to predict future values accurately. Traditional methods generally employ point forecasting, providing a single deterministic value that cannot describe the range of possible values. Although recent deep learning methods have improved forecasting precision, they require task-specific training and do not…
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Meta AI Introduces ParetoQ: A Unified Machine Learning Framework for Sub-4-Bit Quantization in Large Language Models
As deep learning models continue to grow, the quantization of machine learning models becomes essential, and the need for effective compression techniques has become increasingly relevant. Low-bit quantization is a method that reduces model size while attempting to retain accuracy. Researchers have been determining the best bit-width for maximizing efficiency without compromising performance. Various studies…