Ars Technica

Gemini AI solves coding problem that stumped 139 human teams at ICPC World Finals

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...
GitHub

Problem loading linear head weights from custom trained vitl_im1k_lin834.yaml

load_state_dict raise RuntimeError( RuntimeError: Error(s) in loading state_dict for Linear: Missing key(s) in state_dict: "weight", "bias". Unexpected key(s) in ...
GitHub

A curated collection of foundational programming problems with full algorithmic explanations and reusable helper functions, solved using JavaScript.

Tired of learning syntax for every new language? This project is built on the core belief that fundamental programming logic transcends language boundaries. By mastering the concepts here in ...
IEEE

A Practical PAPR Minimization Algorithm for OFDM-Based JRC Systems via Linear Programming

Abstract: Orthogonal frequency-division multiplexing (OFDM)-based joint radar communication (JRC) systems have signal distortion when the transmit signal has a high peak-to-average power ratio (PAPR).
TheWrap

Warner Bros. Discovery’s Split Gives Company Flexibility But Doesn’t Solve Problem of Debt, Linear Decline | Analysis

When WarnerMedia and Discovery Inc. merged back in 2022, the rationale was that the combination would put the companies in a better position to compete against Netflix, Disney and others that were ...
TechCrunch

Grok says it’s ‘skeptical’ about Holocaust death toll, then blames ‘programming error’

Grok, the AI-powered chatbot created by xAI and widely deployed across its new corporate sibling X, wasn’t just obsessed with white genocide this week. As first noted in Rolling Stone, Grok also ...
C&EN

Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...
Scientific Research Publishing

Bolte, J., Sabach, S. and Teboulle, M. (2013) Proximal Alternating Linearized Minimization for Nonconvex and Non-Smooth Problems. Mathematical Programming, 146, 459-494.

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.
Scientific Research Publishing

Bolte, J., Sabach, S. and Teboulle, M. (2013) Proximal Alternating Linearized Minimization for Nonconvex and Nonsmooth Problems. Mathematical Programming, 146, 459-494.

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
marktechpost

Hugging Face Releases OlympicCoder: A Series of Open Reasoning AI Models that can Solve Olympiad-Level Programming Problems

In the realm of competitive programming, both human participants and artificial intelligence systems encounter a set of unique challenges. Many existing code generation models struggle to consistently ...
blockchain

NVIDIA's cuOpt Revolutionizes Linear Programming with GPU Acceleration

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...