Demystifying CapEx and OpEx in Cloud Computing

Introduction In the ever-evolving world of IT infrastructure, understanding the financial aspects is as important as grasping the technical details. Two terms you’ll often encounter when dealing with IT expenses are Capital Expenditure (CapEx) and Operational Expenditure (OpEx). These financial concepts play a significant role in how organizations manage their resources and make financial decisions….

Navigating the Cloudscape: Understanding Different Cloud Models

Introduction The cloud has become an integral part of modern business operations, offering scalability, flexibility, and cost-efficiency that traditional on-premises solutions struggle to match. However, the cloud landscape is not one-size-fits-all. Different organizations have different needs, and as a result, various cloud models have emerged to cater to these diverse requirements. In this blog post,…

Navigating Cloud Security: Understanding the Shared Responsibility Model

Introduction The rapid evolution of technology has transformed the way businesses operate, with cloud computing being a pivotal driver of this transformation. The cloud offers unprecedented scalability, flexibility, and cost-efficiency. However, with great power comes great responsibility. Enter the Shared Responsibility Model, a fundamental concept that everyone venturing into the cloud should grasp. In this…

Latest from MIT Tech Review – AI just beat a human test for creativity. What does that even mean?

AI is getting better at passing tests designed to measure human creativity. In a study published in Nature Scientific Reports today, AI chatbots achieved higher average scores than humans in the Alternate Uses Task, a test commonly used to assess this ability.  This study will add fuel to an ongoing debate among AI researchers about…

Latest from MIT Tech Review – This driverless car company is using chatbots to make its vehicles smarter

Self-driving car startup Wayve can now interrogate its vehicles, asking them questions about their driving decisions—and getting answers back. The idea is to use the same tech behind ChatGPT to help train driverless cars. The company combined its existing self-driving software with a large language model, creating a hybrid model it calls LINGO-1. LINGO-1 synchs…

Latest from MIT : A pose-mapping technique could remotely evaluate patients with cerebral palsy

It can be a hassle to get to the doctor’s office. And the task can be especially challenging for parents of children with motor disorders such as cerebral palsy, as a clinician must evaluate the child in person on a regular basis, often for an hour at a time. Making it to these frequent evaluations…

Latest from MIT : How an archeological approach can help leverage biased data in AI to improve medicine

The classic computer science adage “garbage in, garbage out” lacks nuance when it comes to understanding biased medical data, argue computer science and bioethics professors from MIT, Johns Hopkins University, and the Alan Turing Institute in a new opinion piece published in a recent edition of the New England Journal of Medicine (NEJM). The rising…

Latest from MIT : A. Michael West: Advancing human-robot interactions in health care

An accomplished MIT student researcher in health care robotics, with many scholarship and fellowship awards to his name, A. Michael West is nonchalant about how he chose his path. “I kind of fell into it,” the mechanical engineering PhD candidate says, adding that growing up in suburban California, he was social, athletic — and good…

Latest from MIT : Helping computer vision and language models understand what they see

Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos. While these models excel at identifying objects, they often struggle to understand concepts, like object attributes or the arrangement of items in a scene. For instance, a…

Latest from Google AI – World scale inverse reinforcement learning in Google Maps

Posted by Matt Barnes, Software Engineer, Google Research Routing in Google Maps remains one of our most helpful and frequently used features. Determining the best route from A to B requires making complex trade-offs between factors including the estimated time of arrival (ETA), tolls, directness, surface conditions (e.g., paved, unpaved roads), and user preferences, which…