Local residents looking to jumpstart a career in the high-demand world of technology can once again take advantage of the ...

Quantization plays a crucial role in deploying Large Language Models (LLMs) in resource-constrained environments. However, the presence of outlier features significantly hinders low-bit quantization.

Abstract: In this paper, we propose a novel construction for secure distributed matrix multiplication (SDMM) based on algebraic geometry (AG) codes, which we call the PoleGap SDMM scheme. The proposed ...

Artificial intelligence companies looking to raise funds are being made to pay lofty interest rates, as debt investors become cautious. By Joe Rennison Investors in the A.I.-fueled stock market have ...

In this report, we introduce UltraShape 1.0, a scalable 3D diffusion framework for high-fidelity 3D geometry generation. The proposed approach adopts a two-stage generation pipeline: a coarse global ...

On February 2nd, 2025, computer scientist and OpenAI co-founder Andrej Karpathy made a flippant tweet that launched a new phrase into the internet’s collective consciousness. He posted that he’d ...

This story is a complementary profile to the 2025 Hypebeast100, our annual recognition of the creatives shaping fashion and culture today. Explore the full Hypebeast100 list, award winners, and this ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...