In 1989, Yann LeCun helped show that neural networks could read handwritten ZIP codes, laying groundwork for systems that later read bank checks

In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...
Purdue University

Purdue engineers test, validate novel method to improve pharmaceutical R&D

A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...
MIT Technology Review

Anthropic’s Code with Claude showed off coding’s future—whether you like it or not

As tools like Claude Code get better, more and more developers are happy to hand off coding tasks to them. The way software gets built has changed for good. The vibes were strong at Code with Claude, ...
IEEE

Spatially Coupled Convolutional Codes via Block-Oriented Accumulation: Analysis and Quantized Decoding

Abstract: Construction of high-performance spatially coupled codes has received considerable attention recently. This paper presents a new construction of spatially coupled convolutional codes (SC-CC) ...
Ars Technica

Here’s what that Claude Code source leak reveals about Anthropic’s plans

Yesterday’s surprise leak of the source code for Anthropic’s Claude Code revealed a lot about the vibe-coding scaffolding the company has built around its proprietary Claude model. But observers ...
Ars Technica

Entire Claude Code CLI source code leaks thanks to exposed map file

The entire source code for Anthropic’s Claude Code command line interface application (not the models themselves) has been leaked and disseminated, apparently due ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
Nature

Automated design for physics-informed modeling with convolutional neural networks

Physics-informed convolutional neural networks (PICNNs) have emerged as a powerful extension of physics-informed neural networks (PINNs), offering superior generalization and efficiency for solving ...
Scientific Research Publishing

Convolutional Homeomorphic Error-Correcting Codes Utilizing Nano Controlled-Selector Architectural Effectuation ()

1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
IEEE

Quantum Convolutional Codes Constructed from Classical Self-Orthogonal Convolutional Codes

Abstract: In this paper, we construct new quantum convolutional codes (QCCs) from classical self-orthogonal convolutional (CSOC) codes. We develop a methodology that achieves the required code ...
LinkedIn

Simple Neural Network code I - Convolutional ANN

In tensorflow we may use this code to create a convolutional layer : tf.keras.layers.Conv2D. however before adding the layers, lets talk about how to start a Neural design. There are two ways we can ...
LinkedIn

Convolution vs. Correlation — A Hands-On Dive into Image Filtering with MATLAB

Understanding how machines interpret visual information starts with two fundamental concepts in image processing: convolution and correlation. These techniques are often mentioned in textbooks, but ...