Can we survive alongside AGI, or will the encounter with this superintelligence be our final mistake?

Master Swift Optionals for safer, crash-free iOS development.

Learn how to handcraft complex UI components from scratch, optimize rendering performance, ensure your app's look and feel stands out for the best experience

Like the city itself - a learning gateway to complex histories, Cairo, the coding language, is opening new doors in the decentralised world

Odysee removes ads, focusing on creator monetization and decentralization over ad revenue, aiming to offer an incorruptible video-sharing experience.

There’s an invasion of YouTube channels with movies you couldn’t believe are available for free in top-resolution quality.

With PlayBlock as the foundation, Playnance aims to drive mass Web3 adoption by offering zero-gas transactions, USD-pegged stability via USDP, and seamless Ethe

This investment aligns with Prosper’s strategic direction and supports its new vision.

This paper compares ADA's performance on out-of-distribution robustness tasks, highlighting its superiority with datasets like SkillCraft and RCFashionMNIST.

This paper evaluates ADA's performance on in-distribution generalization tasks, comparing it to C-Mixup, Mixup, and other strategies.

This paper extends ADA’s evaluation to nonlinear regression on the California and Boston housing datasets, comparing its performance against C-Mixup.

This paper presents experimental evaluations of ADA, comparing it with C-Mixup, vanilla augmentation, and classical risk minimization.

This paper presents the ADA algorithm for generating minibatches in nonlinear regression models, using stochastic gradient descent.

ADA is a generalized version of C-Mixup that mixes multiple samples based on cluster membership, preserving nonlinear relationships in augmented regression data

Anchor Data Augmentation (ADA) is a domain-agnostic method for regression, using clustering to improve generalization with minimal computational cost.

Anchor Regression (AR) optimizes predictive accuracy while enhancing robustness to distribution shifts.

This paper explores various data augmentation methods, from human-designed domain-specific transformations to automated techniques using reinforcement learning.

This paper introduces Anchor Data Augmentation (ADA), a novel algorithm for enhancing nonlinear over-parameterized regression models.

For years, Snowden has been a polarizing figure—celebrated by many as a whistleblower and condemned by others as a traitor.

Explaining the elements that make prompt engineering work and its importance.

From academic agronomist to data scientist: brief look at the journey of someone who combines domain expertise (primarily) with data science.