China’s Metaverse Is All About Work
The government wants the metaverse to be less about having fun and shopping and more about health care and industry.
Jellyfish-like robots could one day clean up the world’s oceans
Roboticists have developed a jellyfish-inspired underwater robot with which they hope one day to collect waste from the bottom of the ocean. The almost noise-free prototype can trap objects underneath its body without physical contact, thereby enabling safe interactions in delicate environments such as coral reefs. Jellyfish-Bot could become an important tool for environmental remediation.
A model that uses human prompts and sketches to generate realistic fashion images
Artificial intelligence (AI) recently started making its way into many creative industries, for instance, in the form of tools for digital artists, architects, interior designers and image editors. In these contexts, AI can automate processes that are tedious or time consuming, while also potentially inspiring artists and facilitating their creative process.
Preparing Students for the Future of Work With AI
This educator is encouraging college-age students to get ahead by using generative AI tools in a digital marketing bootcamp and in their job searches.
How can we build human values into AI?
As artificial intelligence (AI) becomes more powerful and more deeply integrated into our lives, the questions of how it is used and deployed are all the more important. What values guide AI? Whose values are they? And how are they selected?
ICLR 2023
Sharing a reliable sustainability podcast
I want to introduce you to the second season of my podcast, Making of the SRE Omelette. This season explores achieving our sustainability goals via the practice of Site Reliability Engineering. “Culture is the outcome of what we do. In the context of The Chicken or The Egg, it is like an Omelette.” – Kareem …
Amazon SageMaker Data Wrangler for dimensionality reduction
In the world of machine learning (ML), the quality of the dataset is of significant importance to model predictability. Although more data is usually better, large datasets with a high number of features can sometimes lead to non-optimal model performance due to the curse of dimensionality. Analysts can spend a significant amount of time transforming …
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Introducing AI-powered risk summaries in Security Command Center
Cloud security teams need expert guidance to protect against an increasing number of threats, and to help pinpoint where they are most at risk. They also need to make security issues understandable so that non-security specialists can help keep their organization safe. To meet both requirements, we will integrate Google Cloud Security AI Workbench with …
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Intel Let Google Cloud Hack Its New Secure Chips and Found 10 Bugs
To protect its Confidential Computing cloud infrastructure and gain critical insights, Google leans on its relationships with chipmakers.