Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1,610

Quantum AI Breakthrough: New Theorem Shrinks Need for Training Data

Aug. 24, 2022 — Training a quantum neural network requires only a small amount of data, according to a new proof that upends previous assumptions stemming from classical computing’s huge appetite for data in machine learning, or artificial intelligence. The theorem has several direct applications, including more efficient compiling for quantum computers and distinguishing phases of matter for materials discovery.

“Many people believe that quantum machine learning will require a lot of data. We have rigorously shown that for many relevant problems, this is not the case,” said Lukasz Cincio, a quantum theorist at Los Alamos National Laboratory and co-author of the paper containing the proof published in the journal Nature Communications. “This provides new hope for quantum machine learning. We’re closing the gap between what we have today and what’s needed for quantum advantage, when quantum computers outperform classical computers.”

“The need for large data sets could have been a roadblock to quantum AI, but our work removes this roadblock. While other issues for quantum AI could still exist, at least now we know that the size of the data set is not an issue,” said Patrick Coles, a quantum theorist at the Laboratory and co-author of the paper.

New highly efficient lead-bin binary perovskite photodetectors with fast response times

Researchers at the University of Toronto and the Barcelona Institute of Science and Technology have recently created new solution-processed perovskite photodetectors that exhibit remarkable efficiencies and response times. These photodetectors, introduced in a paper published in Nature Electronics, have a unique design that prevents the formation of defects between its different layers.

“There is growing interest in 3D range imaging for autonomous driving and consumer electronics,” Edward H. Sargent told TechXplore. “We have worked as a team for years on finding new materials that enable light sensing technologies such as next-generation image sensors and striving to take these in a direction that could have a commercial and societal impact.”

Photodetectors, sensing devices that detect or respond to light, can have numerous highly valuable applications. For instance, they can be integrated in robotic systems, autonomous vehicles, , environmental sensing technology, fiber optic communication systems and security systems.

FBL69: David Weinberger — Using Technology To Thrive in Chaos

This week our guest is author and technologist, David Weinberger, who has spent years lecturing at Harvard as well as acting as a fellow and senior researcher at the renowned Berkman Klein Center for Internet & Society. And just prior to covid, David released his latest book, Everyday Chaos: Technology, Complexity, and How We’re Thriving in a New World of Possibility. In this episode, David and I explore some of the key ideas he focused on in Everyday Chaos. This includes looking at the ways in which we have historically used reductionist thinking to make generalizations for society, products, and technology, and how the latest technologies like the internet and Machine learning are revealing how much more we can thrive when we embrace chaos and customization. This means letting individuals and data tell us what people want by exploring all the possibilities rather than attempting to predict and shape outcomes beforehand.

** Find out more about David at his website weinberger.org and buy his book at everydaychaosbook.com.

55 MINS

Who Will Survive The AI Revolution?

Fascinating perspective on a subject most of us are deeply familiar with.

Thank you to Full Sail University for sponsoring this video! Check them out at https://www.fullsail.edu/wisecrack.

Is AI coming for us all?

Artificial technology has become something of a boogeyman haunting our futures in unknowable ways. But will this technology change the world, and if so, will we have any control over those changes? Let’s find out in this Wisecrack Edition on Artificial Intelligence: How Afraid Should We Be?

Support us on Patreon! ► https://www.patreon.com/wisecrack.

Continue reading “Who Will Survive The AI Revolution?” | >

KRAFTWERK “The Robots” D. N’Elpin & I. Shaurouskaya (Cover tribute. Version 2)

https://youtube.com/watch?v=PDLXaSV4qCQ&feature=share

KRAFTWERK “The Robots” Dmitriy N’Elpin & Inesa Shaurouskaya (Cover tribute. Version 2)

✅ Dmitriy N’Elpin – idea, arrangement, synthesizers, drums, guitar, vocals, vocals-vocoder, mastering.
✅ Inesa Shaurouskaya – synthesizers, special effects, vocals — vocoder.

Video editing – Andrey Grozovskiy.

Fan club — https://www.facebook.com/groups/24033
Dmitriy N’Elpin – https://www.facebook.com/dmitriy.nelpin.
Inesa Shaurouskaya – https://www.facebook.com/inesa.shaurouskaya.
Andrey Grozovskiy – https://www.facebook.com/andrey.grozovskiy

Discovering materials for gas turbine engines through efficient predictive frameworks

Gas turbines are widely used for power generation and aircraft propulsion. According to the laws of thermodynamics, the higher the temperature of an engine, the higher the efficiency. Because of these laws, there is an emerging interest in increasing turbines’ operating temperature.

A team of researchers from the Department of Materials Science and Engineering at Texas A&M University, in conjunction with researchers from Ames National Laboratory, have developed an artificial intelligence framework capable of predicting (HEAs) that can withstand extremely high temperature, oxidizing environments. This method could significantly reduce the time and costs of finding alloys by decreasing the number of experimental analyses required.

This research was recently published in Material Horizons.

AI Ethics And The Almost Sensible Question Of Whether Humans Will Outlive AI

I have a question for you that seems to be garnering a lot of handwringing and heated debates these days. Are you ready? Will humans outlive AI? Mull that one over. I am going to unpack the question and examine closely the answers and how the answers have been elucidated. My primary intent is to highlight how the question itself and the surrounding discourse are inevitably and inexorably rooted in AI Ethics.

A worthy question is whether humans will outlive AI, though the worthiness of the question is perhaps different than what you think it is. All in all, important AI Ethics ramifications arise.

/* */