ICLR 2021 paper An Image Is Worth 16×16 Words: Transformers for Image Recognition at Scale suggests…
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.
Inside the strange new world of being a deepfake actor
In 2019, two multimedia artists, Francesca Panetta and Halsey Burgund, set about to pursue a provocative…
It looks like Elon Musk isn’t happy about Microsoft exclusively licensing OpenAI’s text-generating software
“This does seem like the opposite of open. OpenAI is essentially captured by Microsoft,” Elon Musk…
New Machine Learning Technology Turns You Into An Animated Character And Here Are 24 Of The Best Examples
New deep learning technology allows you to see how you’d look as a cartoon character, and…
The GPT-3 economy
Will OpenAI’s pricing plan for GPT-3 be able to turn the massive AI language model into…
Google Approaches Bert-Level Performance Using 300x fewer Parameters with Extension of Its New NLP model PRADO
The trimmed-down pQRNN extension to Google AI’s projection attention neural network PRADO compares to BERT on…
AI devs created a lean, mean, GPT-3-beating machine that uses 99.9% fewer parameters
AI researchers from the Ludwig Maximilian University (LMU) of Munich have developed a bite-sized text generator…
At the Math Olympiad, Computers Prepare to Go for the Gold
The 61st international mathematical olympiad, or imo, begins today. Due to the covid-19 pandemic it’s the…
How AI will automate cybersecurity in the post-COVID world
As cybercrime is becoming more lucrative and more automated, we’re going to have to depend on…
Microsoft’s updated DeepSpeed can train trillion-parameter AI models with fewer GPUs
The company claims the technique, dubbed 3d parallelism, adapts to the varying needs of workload requirements…
Physicist: The entire universe might be a neural network
We live inside a neural network, he says, not a simulation — “but we might never…
A robot wrote this entire article. Does that scare you, human? | GPT-3
My brain is not a “feeling brain” but it is capable of making rational, logical decisions.…
I’m Sorry Dave, You Shouldn’t Write Verilog
We were always envious of Star Trek, for its computers. No programming needed. Just tell the…
Facebook open-sources Opacus, a PyTorch library for differential privacy
Facebook’s Opacus is a library for training PyTorch models with differential privacy that’s ostensibly more scalable…
Neuralink demonstrates its next-generation brain-machine interface
During a press conference held online, Elon Musks Neuralink gave a progress update on its ambitious…
Solved astronomy mystery after just one year at university
Three first-year students have found a way to detect violent explosions in distant galaxies. Now, one…
Stealing Keys From The Sound Of The Lock
If you are smart, you wouldn’t hand your house key over to a stranger for a…
A prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings
Prediction model was found highly accurate in distinguishing non-survivors from discharged patients. Seven features selected by…
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…