Lifeboat Foundation

The most intelligent AI Scientists in the world are becoming increasingly worried about Artificial Intelligence programs becoming more unpredictable and incomprehensible as they become more powerful. AI is also overtaking powerful positions in the government, healthcare and defense which could prove dangerous as an Artificial Super Intelligence is coming very close as the Singularity approaches in the future of 2045. People like Elon Musk and Ray Kurzweil have long warned us about AI beating Humans in anything we can imagine. Nvidia and Meta are also working on specially made hardware and software in the form of pytorch and 2022 GPU’s. Artificial General Intelligence is a real dangers and here are some solutions to it.
–
TIMESTAMPS:
00:00 The Dawn of incomprehensible AI
01:33 The Dangers of Artificial Intelligence.
03:03 A Possible solution.
04:23 What ASI means for Society.
07:15 So, is all hope lost?
09:03 Last Words.
–
#ai #asi #agi

The company has its hands in a lot of technology pies, from advanced robotics to autonomous cars, planes, chips, advanced AI, and even medical research. This week it offered a glimpse of an avatar-dominated collaboration metaverse.

Summary: A newly developed AI algorithm can directly predict eye position and movement during an MRI scan. The technology could provide new diagnostics for neurological disorders that manifest in changes in eye-movement patterns.

Source: Max Planck Institute.

A large amount of information constantly flows into our brain via the eyes. Scientists can measure the resulting brain activity using magnetic resonance imaging (MRI). The precise measurement of eye movements during an MRI scan can tell scientists a great deal about our thoughts, memories and current goals, but also about diseases of the brain.

It reduces the operational carbon footprint while making inspections more efficient and cost-effective.

The person staring back from the computer screen may not actually exist, thanks to artificial intelligence (AI) capable of generating convincing but ultimately fake images of human faces. Now this same technology may power the next wave of innovations in materials design, according to Penn State scientists.

“We hear a lot about deepfakes in the news today – AI that can generate realistic images of human faces that don’t correspond to real people,” said Wesley Reinhart, assistant professor of materials science and engineering and Institute for Computational and Data Sciences faculty co-hire, at Penn State. “That’s exactly the same technology we used in our research. We’re basically just swapping out this example of images of human faces for elemental compositions of high-performance alloys.”

The scientists trained a generative adversarial network (GAN) to create novel refractory high-entropy alloys, materials that can withstand ultra-high temperatures while maintaining their strength and that are used in technology from turbine blades to rockets.

Landing AI, a California-based startup led by Google Brain co-founder Andrew Ng, has just nabbed $57 million in series A for its computer vision platform.

Landing AI’s flagship product, the LandingLens, doesn’t have the highlights you see at Google I/O or the Apple Event, where tech giants introduce how the latest advances in AI are making your personal devices smarter and useful. But its impact could be no less significant than the kind of artificial intelligence technology that is finding its way into consumer products and services.

Landing AI is one of several companies that is bringing computer vision to the industrial sector. As industrial computer vision platforms mature, they can bring great productivity, cost-efficiency, and safety to different domains.

New techniques have been used to make a robot hand, a flapping fish tail, and a coil that can retrieve a ball.

Shipping.

Nov 11 (Reuters) — Companies in North America added a record number of robots in the first nine months of this year as they rushed to speed up assembly lines and struggled to add human workers.

Factories and other industrial users ordered 29,000 robots, 37% more than during the same period last year, valued at $1.48 billion, according to data compiled by the industry group the Association for Advancing Automation. That surpassed the previous peak set in the same time period in 2017, before the global pandemic upended economies.

The rush to add robots is part of a larger upswing in investment as companies seek to keep up with strong demand, which in some cases has contributed to shortages of key goods. At the same time, many firms have struggled to lure back workers displaced by the pandemic and view robots as an alternative to adding human muscle on their assembly lines.