5 Best E-Readers (2023): Kindle, Nook, Kobo
These WIRED-tested slim slates let you take the world’s library anywhere.
Russian Ransomware Gang Attack Destabilizes UK Royal Mail
Plus: Joe Biden’s classified-documents scandal, the end of security support for Windows 7, and more.
When Did the Anthropocene Actually Begin?
Scientists want to pinpoint the technology that marked when humanity became a “geological superpower.” On the short list: the H-bomb and the modern chicken.
Accelerating Patient Care with the NHS
In 2022, we began working at Chelsea and Westminster Hospital to reduce waiting times for cancer treatment. The early results of this work were highlighted in an article in The Times which has led to some further questions about what this work entails. Below, Joanna Peller and Tom McArdle, who lead our UK Health team …
Leveraging artificial intelligence and machine learning at Parsons with AWS DeepRacer
This post is co-written with Jennifer Bergstrom, Sr. Technical Director, ParsonsX. Parsons Corporation (NYSE:PSN) is a leading disruptive technology company in critical infrastructure, national defense, space, intelligence, and security markets providing solutions across the globe to help make the world safer, healthier, and more connected. Parsons provides services and capabilities across cybersecurity, missile defense, space ground …
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How Thomson Reuters built an AI platform using Amazon SageMaker to accelerate delivery of ML projects
This post is co-written by Ramdev Wudali and Kiran Mantripragada from Thomson Reuters. In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Since then, TR has achieved many more milestones as its AI …
Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2
This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a …
Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1
This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a …
For AI adoption, ‘culture eats strategy for breakfast’
Company culture is a primary obstacle to AI adoption. Advice from experts on how to change culture to welcome AI into your business.Read More
Adopting AutoML: Let’s do a reality check
AutoML can’t define and automatically solve statements. But, it can solve pre-defined statements with relevant data and features. Read More