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.
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.
Continue reading “KRAFTWERK ‘The Robots’ D. N’Elpin & I. Shaurouskaya (Cover tribute. Version 2)” »
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 high entropy alloys (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.
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.
Facebook (now Meta) popularized the Silicon Valley ethos with the saying “Move fast and break things”. This approach might have worked when disrupting the social media business, but it’s causing all sorts of problems for them as well as other major AI players. Breaking things and moving fast might be the reason why so many AI projects are failing. According to an MIT study, over 85% of AI projects fail to deliver their stated objectives, and 70% of data science projects never make it to fruition. Clearly moving fast and breaking things doesn’t work if you’re not getting closer to success.
There’s a difference between Iterating to Success and Breaking Things.
Early AI winners align organizational and business strategies to build value and manage risk.
The tool can identify symptoms of dengue, malaria, leptospirosis, and scrub typhus.
The study investigates both statistical and machine learning approaches. WHO has categorized dengue as a “neglected tropical disease.”
A prediction tool based on multi-nominal regression analysis and a machine learning algorithm was developed.
Continue reading “AI could revolutionize healthcare but can we trust it?” »
This video will address the hypothesis that advances in artificial intelligence (AI) and neurotechnology could trigger a technological singularity. The singularity could involve the development of artificial intelligence (AI) that is superior to human intelligence, effectively blurring or perhaps removing the distinction between humans and machines.
There is no agreement on when artificial superintelligence will be achieved. Still, one thing is sure: we need to think about our collective goals before the alarming trend of technological singularity makes them irrelevant. Whether powered by AI or some other technical method, the singularity will result in a technological tsunami that will pose unprecedented challenges to human civilization and the physical world on all scales.
Artificial intelligence has advanced faster than anyone expected, giving renewed urgency to the question of what comes next, artificial superintelligence, and what it means for us.
How expensive and difficult does hyperscale-class AI training have to be for a maker of self-driving electric cars to take a side excursion to spend how many hundreds of millions of dollars to go off and create its own AI supercomputer from scratch? And how egotistical and sure would the company’s founder have to be to put together a team that could do it?
Like many questions, when you ask these precisely, they tend to answer themselves. And what is clear is that Elon Musk, founder of both SpaceX and Tesla as well as a co-founder of the OpenAI consortium, doesn’t have time – or money – to waste on science projects.
Continue reading “Inside Tesla’s Innovative And Homegrown ‘Dojo’ AI Supercomputer” »
