Posts in category

Machine Learning


What’s New: Intel’s collaboration with Aible enables teams across key industries to leverage artificial intelligence and deliver rapid and measurable business impact. This deep collaboration, which includes engineering optimizations and an innovative benchmarking program, enhances Aible’s ability to deliver rapid results to its enterprise customers. When paired with Intel processors, Aible’s technology provides a serverless-first approach, allowing developers to build …

Enterprises across many industries are adopting artificial intelligence (AI) and machine learning (ML) at a rapid pace. Many factors fuel this accelerated adoption, including a need to realize value out of the massive amounts of data generated by multichannel customer interactions and the increasing stores of data from all facets of an enterprise’s operations. This …

Today, we’re announcing that Meta AI has built and released BlenderBot 3, the first 175B-parameter, publicly available chatbot complete with model weights, code, datasets, and model cards. We’ve deployed it in a live interactive conversational AI demo here. BlenderBot 3 is capable of searching the internet to chat about virtually any topic, and it’s designed to learn how to improve its skills …

Over the past few years, advances in training large language models (LLMs) have moved natural language processing (NLP) from a bleeding-edge technology that few companies could access, to a powerful component of many common applications. From chatbots to content moderation to categorization, a general rule for NLP is that the larger the model, the greater …

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 …