Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
blockchain

Multi-vector Image Retrieval AI Course: Outperforming Single-vector Methods with ColBERT, ColPali, and MUVERA

According to DeepLearning.AI on Twitter, a new short course in collaboration with Qdrant introduces AI professionals to advanced multi-vector image retrieval techniques. Led by Senior Developer ...
Seeking Alpha

U.S. FDA Grants Platform Technology Designation to the Viral Vector Used in SRP-9003, Sarepta’s Investigational Gene Therapy for the Treatment of Limb Girdle Muscular ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)-- Sarepta Therapeutics, Inc. (SRPT), the leader in precision genetic medicine for rare diseases, today announced that the rAAVrh74 viral vector used in the ...
Phys.org

New method enables flexible generation of high-order vector vortex beams

A research team led by Associate Prof. Wang Anting from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) proposed a method for multidimensional ...
Scientific Research Publishing

Chambers, J.M., Cleveland, W.S., Kleiner, B. and Tukey, P.A. (1983) Graphical Methods for Data Analysis. Taylor & Francis.

ABSTRACT: Copulas are multivariate distribution functions with uniform marginal distributions. In this paper, we study a class of copulas called radial copulas, which is derived from residual ...
IEEE

Customized Design of Frequency-Selective Surfaces Using the Vector-Graph-Feature-Extraction Deep-Neural-Network (VGFE-DNN) Method

Abstract: In this communication, we propose the vector-graph-feature-extraction (VGFE) approach to accurately and concisely characterize details of electromagnetic metasurface (EM), and then train a ...
Frontiers

Cluster correction and graphical user interface for support vector regression lesion-symptom mapping

Voxel-based lesion-symptom mapping (VLSM) has become a commonly-used method for localizing cognitive function in the brain (Bates et al., 2003). The method relates performance on a behavioral measure ...
GitHub

Solving Ordinary Differential Equations Numerical Method Implementation in Python

Euler Method: The simplest numerical method for solving ODEs, which uses the derivative to project forward. [ y_{n+1} = y_n + h \cdot f(x_n, y_n) ] Heun's Method (Improved Euler Method): A two-step ...