The hallucinated village: Social media and the mental cost of digital residency

The path forward is not retreat from technology, but realignment of purpose. If the pandemic created a proximity deficit, the ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

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

The AI drug revolution is real but the hype around it isn’t

Silicon Valley’s timeline for "solving" human health is dangerously optimistic, but AI is quietly breaking pharma’s biggest ...
IEEE

Recursive Identification Based on Local Likelihood Function with Binary-Valued Observations

Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...
IEEE

GREAT: Grassmannian Recursive Algorithm for Tracking & Online System Identification

Abstract: This paper introduces an online approach for identifying time-varying subspaces defined by linear dynamical systems. The approach of representing linear systems by non-parametric subspace ...
www.cs.utexas.edu

Classes of Algorithms

Another name for brute force is exhaustive search. In these algorithms you consider every possible solution in the solution domain to find the optimal solution. Depending on the type of problem that ...
GitHub

[Feature]: SMAWK Algorithm Via Recursion

The SMAWK algorithm is an efficient method for finding row minima in totally monotone matrices, a specific type of matrix where entries decrease or stay constant along each row and column. Developed ...