The Class Where ‘Screenagers’ Train to Navigate Social Media and A.I.

New technologies are complicating efforts to teach the scrolling generation to think critically and defensively online.
GB News on MSN

GCSE language students to be taught how to say they're 'non-binary' amid major classroom overhaul

GCSE pupils studying languages could be taught how to say "non-binary" as part of reforms to the curriculum. The traditional approach to teaching French, German and Spanish by preparing students for ...

How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

I'm 18 and founded an AI startup. I have to wake up at 3 a.m. to work on it before school, but it's worth every sleepless night.

Alex Yang details founding an AI startup with other high schoolers worldwide to improve Alzheimer's diagnostics.
IEEE

Machine Learning Hardware Implementation of Handwritten Digit Inference using Arduino and Ternary Output Binary Neural Network

Abstract: In this paper, we analyze binary neural network (BNN) and ternary output BNN (ToBNN) from a software perspective, and introduce tiny machine learning (TinyML) hardware implementation of ...
GitHub

Reverse Engineering: Decompiling Binary Code with Large Language Models

During compilation, the Preprocessor processes the source code (SRC) to eliminate comments and expand macros or includes. The cleaned code is then forwarded to the Compiler, which converts it into ...
chromatographyonline

LCGC Blog: Rewiring the Fundamentals

The shift from process-focused to goal-oriented learning is crucial in the context of AI, emphasizing efficiency over mastering underlying processes. Early programming experiences provided ...
IEEE

A Hybrid Stochastic-Binary Computing Batch Normalization Engine for Low-Power On-Chip Learning Spiking Neural Networks

Abstract: Batch normalization (BN) has proven to be a critical component in speeding up the training of deep spiking neural networks in deep learning. However, conventional BN implementations face ...