When you have a conversation today, notice the natural points when the exchange leaves open the opportunity for the other person to chime in. If their timing is off, they might be taken as overly […]
As governments worldwide move to restrict teenagers’ access to smartphones and social media, a fierce scientific debate has erupted over whether these digital technologies actually harm young people’s mental health.This post was originally published on […]
A recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a field aimed at achieving quantum advantage to outperform classical machine learning.This post was originally published […]
Around 95% of UK households will be able to watch television over the internet by 2040, new research has revealed. The national proliferation of fast broadband and smart TVs, and the allure of subscription-based services […]
A less wasteful way to train large language models, such as the GPT series, finishes in the same amount of time for up to 30% less energy, according to a new study from the University […]
The Australian government announced on Thursday what it described as world-leading legislation that would institute an age limit of 16 years for children to start using social media, and hold platforms responsible for ensuring compliance.This […]
In the ambitious pursuit to tackle the harms from false content on social media and news websites, data scientists are getting creative.This post was originally published on this website.
A quiz bowl is usually an academic competition in which teams of students, typically from high schools or universities, compete by answering questions across a variety of subjects, such as history, science, literature, and current […]
A research team led by Prof. Xie Chengjun and Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a frequency domain-independent feature learning framework that allows for better […]
A team of computer scientists and AI researchers at the University of California, San Diego, working with a colleague from Tsinghua University, has developed a tactic that helps LLM models more easily determine when they […]
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