Recursive Self-Improvement is the Human Skill We Need in the AI Age

While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...
IEEE

Resilient Filtering of Nonlinear Complex Dynamical Networks Under Randomly Occurring Faults and Hybrid Cyber-Attacks

Abstract: This paper investigates the problem of recursive resilient filtering for discrete-time nonlinear dynamical networks with randomly switching topologies under randomly occurring faults and ...
BMJ

Derivation of the children’s head injury algorithm for the prediction of important clinical events decision rule for head injury in children

Background: A quarter of all patients presenting to emergency departments are children. Although there are several large, well-conducted studies on adults enabling accurate selection of patients with ...
The Economist

How artificial intelligence got better at building itself

Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At present data scientists work on the theory of AI and coders put it into ...
GitHub

Substructure & MCS Search for Chemical Graphs

We benchmark on the community-standard Dalke NN dataset (1,000 high-similarity ChEMBL pairs) — the same dataset widely used by RDKit, CDK, and the academic MCS literature. Identical SMILES input, same ...
IEEE

Data-Driven Point-to-Point Finite-Iteration Learning Control for a Class of Nonlinear Systems With Output Saturation

Abstract: This article considers the point-to-point tracking control problem for a class of unknown nonlinear discrete-time systems with output saturation. A novel data-driven finite-iteration ...