The RRB Group D Reasoning Questions section is one of the most important parts of the Railway Recruitment Board (RRB) exam. It tests a candidate’s logical thinking, problem-solving skills, and ability ...

Here are 50+ exam-focused reasoning questions designed to strengthen your speed and accuracy for IBPS RRB PO 2025. Direction (1-5): Study the following information ...

University of Cambridge Research Fellow Dr. Stephen Turton joins WIRED to answer the internet's burning questions about the logic (and many quirks) of the English language. Why are so many English ...

The LIC AAO Exam 2025 is one of the most prestigious insurance sector recruitment exams, attracting thousands of aspirants to fill 841 vacant posts. With reasoning ability forming a vital part of both ...

Community driven content discussing all aspects of software development from DevOps to design patterns. It validates your ability to think like an attacker, legally and ethically, so you can better ...

Reasoning models have been a part of AI systems since the field’s earliest years in the mid-1950s. Initially, the term referred to the implementation of preprogrammed, rule-based functions that led to ...

Life is full of logical arguments. Lawyers love to pick apart arguments to see how they work, the way engineers deconstruct machines and football coaches analyze plays. Logical arguments are ...

SSC Selection Post Phase 13 Exam 2025 is scheduled to be held from July 24 to August 1 for filling 2,423 vacancies across Matriculation, Higher Secondary, and Graduate level posts. The exam will be ...

When it comes to artificial intelligence, more intensive computing uses more energy, producing more greenhouse gases. By Sachi Kitajima Mulkey Graphics by Harry Stevens From uninvited results at the ...

The more accurate we try to make AI models, the bigger their carbon footprint — with some prompts producing up to 50 times more carbon dioxide emissions than others, a new study has revealed.

Researchers at Apple have released an eyebrow-raising paper that throws cold water on the “reasoning” capabilities of the latest, most powerful large language models. In the paper, a team of machine ...