As meaning-makers, we use spoken or signed language to understand our experiences in the world around us. The emergence of ...

Below, I explore the key methodologies and lessons that can help our government authorities more effectively detect, deter, ...

If we want AI to be more than an English-speaking assistant with a multilingual dictionary, we must move past the illusion ...

Artificial Intelligence and Machine Learning have both been hot button topics for a few years now, but the two terms are ...

After North Carolina conservatives won control of the General Assembly in 2010, they began a systematic application of supply-side principles to state policy. It’s been a phenomenal success — although ...

Mechanize, a San Francisco start-up, is building artificial intelligence tools to automate white-collar jobs “as fast as possible.” ...

I’m talking with Taskrabbit CEO Ania Smith. Taskrabbit is one of the original gig worker platforms that’s really focused on ...

A brain–machine interface (BMI) is a device that translates neuronal information into commands capable of controlling external software or hardware such as a computer or robotic arm. BMIs are ...

She worked in the software industry as a linguistic engineer for several years, where she gained experience using computing and machine language to understand and analyze language. When searching for ...

HaDes-V is an Open Educational Resource for learning microcontroller design. It guides you through creating a pipelined 32-bit RISC-V processor using SystemVerilog and FPGA tools. Developed by TU Graz ...

What do large language models need for machine translaiton evaluation? This repository contains the code and data for our paper "What do large language models need for machine translation evaluation?" ...

Agricultural genetics is the applied study of the effects of genetic variation and selection used to propagate valuable heritable trait combinations in crop plants and farm animals. The discipline ...