Abstract: This paper presents example-based methods for super-resolution (SR) reconstruction from a single set of low-resolution projections (or a sinogram) in positron emission tomography (PET).

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

The term "vibe coding" was coined by OpenAI cofounder Andrej Karpathy in February 2025. "It's not really coding," he posted on X, "I just see stuff, say stuff, run stuff, and copy paste stuff, and it ...

Abstract: The power consumed when writing to Resistive Random Access Memory (RRAM) is significantly greater than that consumed by many charge-based memories such as SRAM, DRAM and NAND-Flash memories.

For the first time, researchers have simulated the full workings of a bacterial cell as it copies its DNA and divides into two. The experiment could help researchers to understand how the interactions ...

AI coding agents have advanced rapidly, enabling startups to generate wireframes, prototypes and even fully functioning applications with much less time and effort than ever before. Even founders with ...

In this video, I break down the main solid horse colors using my own horses as examples. I walk through gray, bay, chestnut and sorrel, roan, true black, buckskin, and dun, and share simple ways to ...

Learn how to make energy calculations simple with a real-world example: mowing a lawn! This video demonstrates how to apply physics concepts of work, energy, and power to everyday tasks, showing step ...

Anthropic Claude Code is leading a shift away from manual code, favoring agentic AI. Agentic AI demands more CPU computing power, which fits Arm's strength. Arm just saw data center royalty revenue ...

Apple is bringing agentic coding to Xcode. On Tuesday, the company announced the release of Xcode 26.3, which will allow developers to use agentic tools, including Anthropic’s Claude Agent and ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...