Lifeboat Foundation

Church points to factors that helped make such a success of three of the top COVID-19 vaccine technologies. For one thing, they all used gene therapy technologies, and each was a new method relative to the past and to each other. For instance, the AstraZeneca vaccine was based on an adenovirus capsid containing double-stranded DNA as opposed to an adeno-associated virus (AAV) of the Johnson & Johnson/Janssen vaccine, while the Moderna and Pfizer/BioNTech vaccines were based on single-stranded mRNA inside lipid nanoparticles.

“Implementation science is the unsung handmaiden of biomedical discovery!”

Secondly, each of them was approved by the FDA 10 times faster than the vast majority of therapeutic products, and finally, the cost per vaccine has been as low as $2 per dose for the United Nations’ COVAX global access program. That’s about a million times cheaper than Zolgensma, he says, referring to the AAV gene therapy medication used to treat spinal muscular atrophy. So since “any one of these could spark a revolution,” according to Church, imagine what could happen in the next 12 months if all four factors pertain again?

Samsung, the world’s biggest memory chip maker, has announced that it has become the first in the world to demonstrate the MRAM (Magnetoresistive Random Access Memory) technology for in-memory computing. The company’s paper on its innovation, titled ‘A crossbar array of magnetoresistive memory devices for in-memory computing,’ was published by Nature on its website, and its print edition is coming next.

The research was a collaboration between SAIT (Samsung Advanced Institute of Technology), Samsung Foundry, and Samsung Semiconductor R&D. Dr. Seungchul Jung (Staff Researcher at SAIT), Dr. Donhee Ham (Fellow of SAIT and Professor of Harvard University), and Dr. Sang Joon Kim (Vice President of Technology at SAIT) worked on the research.

Usually, data is stored in memory chips (DRAM) and processed by a CPU or an AP (Application Processor). However, data storage and computing happen on the same chip with in-memory computing. Since there is no need to transfer data from memory to the processor and vice versa, a lot of time is saved. Data processing inside the memory happens in a highly parallel manner, resulting in substantial power savings. Samsung claims that MRAM technology will be great for things like AI processing.

The Federal Reserve took its first step toward more seriously examining issuing a central bank digital currency, releasing a report on Thursday that examines the idea’s potential costs and benefits and opening the door for public comment.

In a long-awaited report, the Fed avoided taking sides and set out a list of arguments for and against a digital currency, and posed questions that will shape the debate.

“We look forward to engaging with the public, elected representatives and a broad range of stakeholders as we examine the positives and negatives of a central bank digital currency in the United States,” Jerome H. Powell, the Fed chair, said in a statement. Mr. Powell had previewed that a report would be forthcoming in May 2021.

The energy systems that power our lives also produce wasted heat—like heat that radiates off hot water pipes in buildings and exhaust pipes on vehicles. A new flexible thermoelectric generator can wrap around pipes and other hot surfaces and convert wasted heat into electricity more efficiently than previously possible, according to scientists at Penn State and the National Renewable Energy Laboratory.

“A large amount of heat from the energy we consume is essentially being thrown away, often dispersed right into the atmosphere,” said Shashank Priya, associate vice president for research and professor of materials science and engineering at Penn State. “We haven’t had cost-effective ways with conformal shapes to trap and convert that heat to useable energy. This research opens that door.”

Penn State researchers have been working to improve the performance of thermoelectric generators—devices that can convert differences in temperature to electricity. When the devices are placed near a heat source, electrons moving from the hot side to the cold side produce an electric current, the scientists said.

Researchers created a biocompatible graphene ink and used household printers to make electronic components.

Scientists in Ireland have developed a new low-cost method to produce graphene, which could accelerate adoption of the strong and light ‘wonder material’.

Researchers at Trinity College Dublin’s School of Physics and AMBER, the Science Foundation Ireland research centre for advanced materials, teamed up with colleagues in the UK and Norway to develop a scalable graphene production method.

Artificial intelligence and machine learning are currently affecting our lives in many small but impactful ways. For example, AI and machine learning applications recommend entertainment we might enjoy through streaming services such as Netflix and Spotify.

In the near future, it’s predicted that these technologies will have an even larger impact on society through activities such as driving fully autonomous vehicles, enabling complex scientific research and facilitating medical discoveries.

But the computers used for AI and machine learning demand a lot of energy. Currently, the need for computing power related to these technologies is doubling roughly every three to four months. And cloud computing data centers used by AI and machine learning applications worldwide are already devouring more electrical power per year than some small countries. It’s easy to see that this level of energy consumption is unsustainable.

I propose an underlying process which constitutes our intelligence as human beings, and argue that our current AI systems fundamentally lack it.

Sources:
John Vervaeke, Timothy P. Lillicrap, Blake A. Richards — Relevance Realization and the Emerging Framework in Cognitive Science http://www.ipsi.utoronto.ca/sdis/Relevance-Published.pdf.
Daniel Dennnett — Cognitive Wheels: The Frame Problem of AI https://folk.idi.ntnu.no/gamback/teaching/TDT4138/dennett84.pdf.
Francisco J. Varela, Eleanor Rosch and Evan Thompson — The Embodied Mind: Cognitive Science and Human Experience.

Continue reading “What Artificial Intelligence is Missing” »

In today’s video I show you how the Neurosity Crown works by making a prototype to control lights which is initiated by thinking about movement of my left arm.

This Brain Computer Interface video will cover these areas:
👉 Neurosity console overview.
👉 Neurosity console left arm thoughts training with Kinesis.
👉 Extending Unity Notion SDK to subscribe to Kinesis updates and therefore get the data into Unity for further usage.
👉 Simple LightController in Unity to turn on and off lights controlled by a Philips Hue Hub.

Continue reading “Control Lights With Your Mind With Neurosity Crown BCI And Unity!” »

“Altos Labs is just the latest in a series of anti-aging research institutes to emerge recently. With so much money being poured into the science of living longer, there is reason to be optimistic for those hoping to reach longevity escape velocity.”

https://www.futuretimeline.net/images/backgrounds/join-our-f…ground.jpg #longevity

Altos Labs, a new biotech startup focused on deep biology of cellular rejuvenation programming, has been launched with $3bn in funding.