Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...

Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

Abstract: Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex grammar and semantics constraints, ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

Instagram appears to be quietly testing locked reels that viewers would have to unlock with a code and a provided hint. The feature is a simple way to increase engagement with the creator’s content, ...

Senior iOS Engineer with over 12 years of experience developing scalable, user-focused apps using Swift, SwiftUI, UIKit, and more. Senior iOS Engineer with over 12 years of experience developing ...

pip install numpy==1.20.3 pip install tensorflow==2.5.0 pip install tflite_model_maker==0.3.2 pip install pycocotools==2.0.2 ...

An active campaign from a threat actor potentially linked to Russia is targeting Microsoft 365 accounts of individuals at organizations of interest using device code phishing. The targets are in the ...

Note that the header comment includes information on the author of the code, when the code was created, and a brief summary of what the code does. Effective in-line comments should document the ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...

Abstract: Adversarial code examples are important to investigate the robustness of deep code models. Existing work on adversarial code example generation has shown promising results yet still falls ...