The G-value paradox: Why similar genes can lead to very different brains

Biologists have long puzzled over why organisms with similar numbers of protein-coding genes can differ so dramatically in ...
AFNOpinion

Guest article: Open-source education is key to helping agriculture overcome its data phobia

The data-phobia problem means helping the industry engage with structured information, statistical thinking, and predictive ...
Network World

Q&A: Quantum physicist Sonia Fernández-Vidal on why classical computing isn’t going anywhere

We’re not talking about more powerful computers—we're talking about different ones," says the scientist, who sees a hybrid ...
EMS1Opinion

Beyond the algorithm: Why systems thinking is essential for AI adoption in EMS

Artificial intelligence is coming to EMS whether we are ready for it or not. Documentation platforms can generate structured ...
IEEE

Evolutionary-Algorithm-Based Automatic Prompt Generation for Vision-Language Model Evaluation

Abstract: This paper proposes an evolutionary algorithm-based automatic generation method for evaluation prompts. By constructing a structured prompt encoding model, multi-dimensional fitness function ...
IEEE

A Data-Driven Evolutionary Algorithm for Dynamic Vehicle Routing Problems With Time Windows Under Limited Computational Time

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
GitHub

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...