IEEE

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

Abstract: Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ...
ZDNet

You should still learn to code, says top Google AI exec - here's why

AI Dev, DeepLearning.ai's AI conference, made its NYC debut. We sat down with Andrew Ng at the event to talk AI and developers. Ng recommends that everyone learn to code. The second annual AI Dev, a ...
Phys.org

Bees learn to read simple 'Morse code'

Researchers at Queen Mary University of London have shown for the first time that an insect—the bumblebee Bombus terrestris—can decide where to forage for food based on different durations of visual ...
IEEE

Generative Adversarial Learning Based Power Noise Induced Eye Diagram Estimation Method for High-Speed Channel Design

Abstract: In this article, we present a novel power noise induced eye diagram estimation method for high-speed channel design with generative adversarial learning. By leveraging a tailored adaptive ...
Wired

Why Did a $10 Billion Startup Let Me Vibe-Code for Them—and Why Did I Love It?

I asked my editors if I could go work at a tech startup. It was an unusual request. But I wanted to learn to vibe-code. My need to know felt urgent. I wanted to survive the future. The pitch process ...
Engadget

Anthropic brings Claude's learning mode to regular users and devs

This past spring, Anthropic introduced learning mode, a feature that changed Claude's interaction style. When enabled, the chatbot would, following a question, try to guide the user to their own ...
SiliconANGLE

INKY warns of new QR code phishing tactic using embedded JavaScript

A new report out today from cybersecurity company INKY Technology Corp. is sounding the alarm over a new wave of phishing threats that use QR codes in increasingly dangerous and deceptive ways, ...
marktechpost

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization has not been fully explored. While some recent efforts have used LLMs to enhance ...
Frontiers

Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United ...
Scientific Research Publishing

Reverse Engineering Approach for Analyzing and Transforming Graphical User Interface Source Code into Class Diagrams ()

In the field of software engineering, the design phase occupies a pivotal position, serving as a critical juncture in ensuring the quality, maintainability, and efficiency of software systems. The ...
Bleeping Computer

Phishing attack hides JavaScript using invisible Unicode trick

A new JavaScript obfuscation method utilizing invisible Unicode characters to represent binary values is being actively abused in phishing attacks targeting affiliates of an American political action ...