Can a mentalist trick Trump? Oz Pearlman will try in a room full of journalists

The White House Correspondents' Dinner will be headlined by a mentalist instead of a comedian. Oz Pearlman tells NPR he hopes ...
The Harvard Crimson

The Shape of Meaning

Translating poetry is an artistic endeavor in its own right, because something that complex necessitates creating new meaning.
BBC

What is inference?

When we read stories, watch films or TV shows, look at pictures or play video games, we use lots of different skills to work out what is happening. One of these skills is called inference. Inferring ...
GitHub

CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal

CLEAR is a mask-free video subtitle removal framework that achieves end-to-end inference through context-aware adaptive learning. By decoupling prior extraction from generative refinement in a ...
marktechpost

An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation

In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context language model inference more efficient. We begin by setting up ...
Seeking Alpha

Penguin Solutions, Inc. (PENG) Q2 2026 Earnings Call Transcript

Ladies and gentlemen, thank you for joining us, and welcome to Penguin Solutions Second Quarter Fiscal 2026 Earnings Call. [Operator Instructions] I will now hand the conference over to Suzanne ...
IEEE

Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories

Abstract: Long-context Large Language Model (LLM) inference faces increasing compute bottlenecks as attention calculations scale with context length, primarily due to the growing KV-cache transfer ...
Forbes

Big Data

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term. The "clean your data first" consensus is the most expensive bad advice in AI.
IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...