Abstract: Bias in data collection for machine learning entails complexity in the fairness of the forecast and the efficiency of the model. This occurs especially when data is biased, gathered from ...

Part of the reason My Hero Academia falters during its later seasons is because its pacing becomes erratic — especially compared to its earlier chapters. When the anime opens, the prospect of Midoriya ...

Abstract: This article underscores various challenges with training data in the current artificial intelligence-driven era with a special focus on the data island problem (DIP), and identifies ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...