Lifeboat Foundation

On April 16, 2020, Intel and Udacity jointly announced their new Intel® Edge AI for IoT Developers Nanodegree program to train the developer community in deep learning and computer vision. If you are wondering where AI is headed, now you know, it’s headed to the edge. Edge computing is the concept of storing data and computing data directly at the location where it is needed. The global edge computing market is forecasted to reach 1.12 trillion dollars by 2023.

There’s a real need for developers worldwide in this new market. Intel and Udacity aim to train 1 million developers.

AI Needs To Be On the Edge.

These industrial robots are impeccable portrait painters.

Has developed a new method to play out the consequences of its code.

The context: Like any software company, the tech giant needs to test its product any time it pushes updates. But the sorts of debugging methods that normal-size companies use aren’t really enough when you’ve got 2.5 billion users. Such methods usually focus on checking how a single user might experience the platform and whether the software responds to those individual users’ actions as expected. In contrast, as many as 25% of Facebook’s major issues emerge only when users begin interacting with one another. It can be difficult to see how the introduction of a feature or updates to a privacy setting might play out across billions of user interactions.

SimCity: In response, Facebook built a scaled-down version of its platform to simulate user behavior. Called WW, it helps engineers identify and fix the undesired consequences of new updates before they’re deployed. It also automatically recommends changes that can be made to the platform to improve the community experience.

In a new study, Google researchers describe a system that makes decisions continuously in response to changes in the environment.

A team from Facebook AI Research (FAIR) has developed a novel low-dimensional design space called ‘RegNet’ that outperforms traditional available models like from Google and runs five times faster on GPUs.

RegNet produces simple, fast and versatile networks and in experiments, it outperformed Google’s SOTA EfficientNet models, said the researchers in a paper titled ‘Designing Network Design Spaces; published on pre-print repository ArXiv.

The researchers aimed for “interpretability and to discover general design principles that describe networks that are simple, work well, and generalize across settings”.

How and when will this pandemic end? We asked a virologist: https://bit.ly/3afDiMy from World Economic Forum P.S., Many people predict that life will be permanently changed after COVID-19 pandemic. Some new things will become the norm, such as remote working, #telemedicine, the increase of #automation, online education, and so on (e.g., https://bit.ly/2z6qF9I). Our opinion is that “whether the above things become permanent depends on how the pandemic ends.” If the virus becomes seasonal, as predicted by the virologist in the interview, then our lives may gradually shift towards these new practices (i.e., working remotely, seeing doctor remotely, and learning online, etc.). However, if the virus disappears abruptly, just like the 1918 Spanish flu (https://bit.ly/3bdJKop), our lives may slowly go back to what we used to know before the COVID-19 crisis.

We spoke to Belgian virologist Guido Vanham, the former head of virology at the Institute for Tropical Medicine in Antwerp, Belgium, and asked him: how will this pandemic end? And on which factors might that depend?

Continue reading “How will the COVID-19 pandemic end? A virologist explains” »

Pizza Bot

Venezia’s New York Style Pizza in Phoenix, Arizona is now delivering pies by first sanitizing the inside and outside of a Starship robot and placing the robot inside.

The robot then travels to customers within a half mile radius. They can even hop curbs and operate in snowy conditions. Human operators back at HQ can take control over them any time as well.

Artificial intelligence and brain scanning technology like fMRI may make it possible for humans to understand what pet animals and livestock are thinking.

O,.o singularity here we come :3.

“It’s extremely exciting to see if it can turn up any algorithms that we haven’t even thought of yet, the impact of which to our daily lives may be enormous,” one computer expert told Newsweek.

Continue reading “Artificial intelligence that can evolve on its own is being tested by Google scientists” »