Posts in category

Machine Learning


R is one of the most widely used programming languages for statistical computing and machine learning. Many data scientists love it, especially for the rich world of packages from tidyverse, an opinionated collection of R packages for data science. Besides the tidyverse, there are over 18,000 open-source packages on CRAN, the package repository for R. RStudio, available as desktop …

Research in cryptography, the science of securing information, must stay ahead of attacks in order to protect everyone’s data. Since current standards for public key cryptography may one day be vulnerable to attacks by large-scale quantum computers, researchers are proposing and testing new post-quantum cryptographic proposals based on hard problems in mathematics. Today, Meta AI …

About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game players to outperforming doctors at diagnosing breast cancer. These powerful deep-learning models are usually based on artificial neural networks, which were first proposed in the 1940s and have become a popular type of machine learning. A computer learns to …

“Clearbuds,” a new kind of wireless earbud, enhance a speaker’s voice and reduce background noise, researchers report. Clearbuds use a microphone system and one of the first machine-learning systems to operate in real time and run on a smartphone. Researchers were inspired to do the work as meetings shifted online during the COVID-19 lockdown and …

We are excited to announce the general availability of CloudHealth Anomaly Detection! In our prior blog announcing the public beta of this feature, we went over how anomaly detection can help you take control of your cloud costs with visibility into unusual or abnormal spend by analyzing cost spend patterns and utilizing historical data aligned with industry …

Machine learning is a huge discipline, with applications ranging from natural language processing to solving partial differential equations. It is from this landscape that major frameworks such as PyTorch, TensorFlow, and Flux.jl arise and strive to be packages for “all of machine learning”. While some of these frameworks have the backing of large companies such as Facebook …

Alphabet CEO Sundar Pichai has compared the potential impact of artificial intelligence (AI) to the impact of electricity—so it may be no surprise that at Google Cloud, we expect to see increased AI and machine learning (ML) momentum across the spectrum of users and use cases. Some of the momentum is more foundational, such as the hundreds …

The entirety of the known universe is teeming with an infinite number of molecules. But what fraction of these molecules have potential drug-like traits that can be used to develop life-saving drug treatments? Millions? Billions? Trillions? The answer: novemdecillion, or 1060. This gargantuan number prolongs the drug development process for fast-spreading diseases like Covid-19 because …

Using a novel fabrication process, MIT researchers have produced smart textiles that snugly conform to the body so they can sense the wearer’s posture and motions. By incorporating a special type of plastic yarn and using heat to slightly melt it — a process called thermoforming — the researchers were able to greatly improve the …

Meta AI has built a single AI model, NLLB-200, that is the first to translate across 200 different languages with state-of-the-art quality that has been validated through extensive evaluations for each of them. We’ve also created a new evaluation dataset, FLORES-200, and measured NLLB-200’s performance in each language to confirm that the translations are high quality. …