Identified and explained in detail the gaps and possible future works for improvement in two popular research papers that used heuristic and meta-heuristic algorithms to solve multi-objective vehicle ...

Identified and explained in detail the gaps and possible future works for improvement in two popular research papers that used heuristic and meta-heuristic algorithms to solve multi-objective vehicle ...

Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...

Abstract: With the rapid advancement of global large-scale satellite networks, the construction of satellite constellations imposes stricter demands on inter-satellite routing algorithms. Traditional ...

Humans come with “survival firmware” (short-horizon, self-protective heuristics) and uniquely powerful “override hardware” ...

Undergraduates face decision fatigue from overwhelming choices, impacting academic engagement and career satisfaction in ...

Platforms such as TikTok and other algorithm-driven services are highlighted as prime environments where false content gains ...

A talk at Havard's BKC dealt with AI encoding truth, certainty, and beliefs. Builders are struggling with aligning LLMs to human values. It's an AI Insider scoop.

AI won't replace lawyers; it will make the best ones indispensable. Tasks once seen as painstaking—drafting agreements, ...

Elon Musk’s X is launching an AI-powered feed with user prompts. Can this redefine social media personalization, or deepen ...

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

The financial world grows on managing risk, but the models used to calculate exposure—from market volatility to ...