AI & Machine Learning

The rapid advance of artificial intelligence is happening now.

I don’t—thankfully—have to follow every statement that Sam Altman, the CEO of OpenAI, makes about the world. Many of these statements seem more like “hustles” or “pitches” than attempts to speak thoughtfully about the future. Even if they are genuine statements of belief, they often read like a teenager’s first sci-fi novel, written under the

Still a third of the S&P 500 — and wobbling a bit

1) Novel Approach for Decoding Olfactory Receptors Interactions With Molecules Based on Multimodal Feature and Deep Learning Network Author(s): F. Wang, X. Xie, Y. Xiong, Z. Liu, M. Kong, H. Dong, X. Chen Pages: 1506 – 1517 2) Spectral Embedding Representation Based on Random Anchor Graph Aggregation Author(s): J. Zhou, F. Li, C. Gao, W. Ding, W. Pedrycz,

1) Efficient Meta-Heuristic Approach for the Multiobjective Green p-Hub Centre Routing Problem Author(s): E. M. Ibnoulouafi, T. Aouam, M. Oudani, M. Ghogho Pages: 449 – 463 2) A Multi-Fidelity Genetic Algorithm for Hyperparameter Optimization of Deep Neural Networks Author(s): A. R. Moya, S. Ventura Pages: 464 – 478 3) Automatic Fuzzy Architecture Design for Defect Detection via Classifier-Assisted Multiobjective

The danger is not that it will replace human-authored books — but that we stop caring about good writing at all