Prediction model was found highly accurate in distinguishing non-survivors from discharged patients. Seven features selected by…
Category: AI / ML
The AI / ML category highlights the latest in artificial intelligence and machine learning. It covers advancements, challenges, and practical uses. Articles explore leading tech companies’ innovations. They discuss models that redefine performance, accuracy, and efficiency. A focus lies on the ethics and safety of large language models. It underscores the need for safe testing and deployment. Practical AI applications range from data preprocessing to code generation. They also cover uses in digital personal assistants. The category sheds light on AI’s enhanced reasoning and its limitations. There’s an emphasis on methods to improve AI training. The broader societal impacts of AI are also discussed. This includes decision-making, vulnerabilities, and shifts in traditional workflows.
Semi-supervised Intent Classification with GAN-BERT
Intent Classification on CLINC150 Dataset with semi-supervised approach using GAN-BERT Read more at Medium…
Machine learning enables completely automatic tuning of a quantum device faster than human experts
To optimize operating conditions of large scale semiconductor quantum devices, a large parameter space has to…
A college student used GPT-3 to write fake blog posts and ended up at the top of Hacker News
He says he wanted to prove the AI could pass as a human writer Read more…
Material found by scientists ‘could merge AI with human brain’
Technology could enable new health diagnostics and achieve Elon Musk’s goal of integrating with artificial intelligence…
AI Approach Identifies Potential New Drugs to Treat COVID-19
A machine-learning approach screened millions of commercially available small moleculesto identify hundreds of potential drug candidates…
Researchers propose using ‘rare word’ dictionaries to bolster unsupervised language model training
In a preprint paper, researchers propose using dictionaries of rare words to accelerate the training of…
TachibanaYoshino/AnimeGAN
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of…
Kite brings its AI-powered code completions to Jupyter notebooks
Kite’s code completions powered deep learning now work with JupyterLab and JupyterHub, helping data scientists as…
Self-training with Noisy Student improves ImageNet classification (Paper Explained)
The abundance of data on the internet is vast. Especially unlabeled images are plentiful and can…
AI model developed to identify individual birds without tagging
Distinguishing individual birds using AI could aid avian behaviour research Read more at the Guardian…
Machines can learn unsupervised ‘at speed of light’ after AI breakthrough, scientists say
Researchers have achieved a breakthrough in the development of artificial intelligence by using light instead of…
MIT releases deepfake video of ‘Nixon’ announcing NASA Apollo 11 disaster
MIT and Modzilla want people to better understand the disturbing power of deepfake videos in a…
Historic Moon Landing Footage Has Been Enhanced by AI, And The Results Are Incredible
As exciting and thrilling as it is to watch all the historic footage from the Apollo…
This AI spit outs endless new My Little Pony characters
An AI system called This Pony Does Not Exist uses a generative neural network (GAN) to create infinite…
OpenAI’s fiction-spewing AI is learning to generate images
In February of last year, the San Francisco–based research lab OpenAI announced that its AI system…
Translate Ancient Hieroglyphs With Google’s New AI-Powered Tool
New Arts & Culture tool Fabricius uses machine learning to translate 4,000-year-old symbols. Read more at…
MIT researchers warn that deep learning is approaching computational limits
Researchers at the Massachusetts institute of technology, Underwood international college, and the University of Brasilia found…
Microsoft Proves AI Can Realistically Sing Lyrics
The new experiment could have implications for the music industry. Read more…
High-accuracy prostate cancer pathology using deep learning
Deep learning methods can be a powerful part of digital pathology workflows, provided well-annotated training datasets…