The Best Automated Espresso, Latte, & Cappuccino Makers (2022)
Tired of plain drinks and pour-overs? Turn your kitchen into a café with these barista-worthy machines.
Therabody Smart Goggles Review: Heat, Vibrations, and Massage
This wearable heats up, vibrates, and soothes sore eyes and temples. I don’t want to take it off.
The Year the NFT Died and Came Back to Life
The market for non-fungible tokens took a nosedive this year. Now, die-hard evangelists think the key to success is finding different ways to use them.
The Bittersweet Defeat of Mpox
The epidemic has largely subsided, but largely because queer men seem to have learned more from AIDS and Covid-19 than the authorities did.
Researchers study which parts of the brain are engaged when a person evaluates a computer program
Functional magnetic resonance imaging (fMRI), which measures changes in blood flow throughout the brain, has been used over the past couple of decades for a variety of applications, including “functional anatomy”—a way of determining which brain areas are switched on when a person carries out a particular task. fMRI has been used to look at …
A reinforcement learning framework to enhance the ramp merging capabilities of autonomous vehicles
While many automotive companies are now invested in the development of self-driving cars, the vehicles created so far have not yet attained the safety levels necessary for them to be deployed on a large-scale. For this to happen, the vehicles will need to be able to tackle a wide variety of challenges on the road …
Updates from Palantir Edge AI in Space
In April 2022, Palantir launched its Edge AI solution into space onboard Satellogic’s NewSat-27 as part of the SpaceX Transporter-4 mission. We’re excited to provide an update on our on-orbit imagery processing efforts. Between April and July, we performed various hardware and software tests in-orbit, and over the past few months we have been receiving …
EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records
Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Analysis of Electronic Health Records (EHR) has a tremendous potential for enhancing patient care, quantitatively measuring performance of clinical practices, and facilitating clinical research. Statistical estimation and machine learning (ML) models trained on EHR data can be used to predict …
Announcing the updated Salesforce connector (V2) for Amazon Kendra
Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should …
Read more “Announcing the updated Salesforce connector (V2) for Amazon Kendra”
Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction
Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. Amazon SageMaker Feature …