A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Robots are starting to gain something that looks a lot like a sense of touch, and in some cases even a crude version of pain.

We end this year with the MTA heroes behind the beloved MetroCard. These heroes make up the team known as the High Production Encoding Machine Unit, employees responsible for encoding every MetroCard, ...

Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...

Abstract: Objective: Mental stress is a major problem in our society and has become an area of interest for many psychiatric researchers. One primary research focus area is the identification of ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Graphics Cards 'It is basically DLSS. That’s the way graphics ought to be': Nvidia's Jensen Huang has a clear vision for the future of its gaming GPUs and is going to be all about neural rendering ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

(module (func i32.const 0 i32.const 23 i32.store offset=4 align=4 i32.const 0 i32.const 23 i32.store 1 offset=4 align=4 ) (memory (;0;) 1) (memory (;1;) 1) ) And I ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...