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Machine learning, a form of artificial intelligence, vastly speeds up computational tasks and enables new technology in areas as broad as speech and image recognition, self-driving cars, stock market trading and medical diagnosis.

Before going to work on a given task, machine learning algorithms typically need to be trained on pre-existing data so they can learn to make fast and accurate predictions about future scenarios on their own. But what if the job is a completely new one, with no data available for training?

Now, researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated that they can use machine learning to optimize the performance of particle accelerators by teaching the algorithms the basic physics principles behind accelerator operations—no prior data needed.

Fed Chair Jerome Powell and his colleagues are moving ahead cautiously and methodically.

The Federal Reserve Bank of Boston is also expected to release the results of its research into the technological challenges associated with implementing a CBDC in the U.S.

It would take five-to-ten years to introduce a digital currency in the U.S., several experts say, but they argue policymakers can’t sit idly by.

In collaboration with a team at the Federal Reserve Bank of Boston, MIT experts have begun designing and testing technical research through which further examination of a Central Bank Digital Currency (CBDC) can be performed in the U.S.

The effort, known as Project Hamilton, is in an exploratory phase, and the research is not intended as a pilot or for public deployment. Instead, the researchers have explored two different approaches that could be used to process transactions, and thus could indicate the technical feasibility of a potential CBDC model. In a process involving significant design flexibility, the MIT group tested factors such as the volume and speed of transactions, and the resilience of the systems in general, among other requirements for a viable digital currency.

“The core of what we built is a high-speed transaction processor for a centralized digital currency, to demonstrate the throughput, latency, and resilience of a system that could support a payment economy at the scale of the United States,” says Neha Narula, director of MIT’s Digital Currency Initiative and a research scientist at the MIT Media Lab, who led the effort with the Boston Fed. “It is important to note that this project is not a comment on whether or not the U.S. should issue a CBDC—but work like this is vital to help determine the answer to that question. This project serves as a platform for creating and comparing more viable designs, and provides a place to experiment and collaborate on more advanced digital currency functionality.”

Over the years, much has been said about artificial intelligence (AI) and the healthcare industry. Much of it has been focused on two extremes. On one hand, there’s the fairly mature use of neural networks for radiological analysis. On the other, there’s the focus on fraud management. Those have become “must have’s” in my perspective. It’s filling the middle ground that interests me. Medical insurance is, as patients, providers, and payors all can agree, is often convoluted and complex. There’s a business problem in making processes more efficient, and the foolishly named robotic process automation (RPA) is only a step in the right direction. More robust AI can help all three stakeholder groups address their needs in managing medical insurance. The general medical insurance industry does deal with radiology and images. However, that’s typically in specialties. In the dental industry, radiology is a regular tool, using x-rays to understand tooth and gum conditions and then to document work that has been done. The basics of AI and radiology have been covered, in this column and many other places, so this article isn’t going to cover the concepts, it’s important to realize how important that analysis is in dental care.

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In this case, it’s increasing the accuracy and speed of dental insurance processing, resulting in better medical control, improved financial outcomes for providers and payors, and improved care and customer service for the patient.

Continue reading “Artificial Intelligence And Dental Insurance — It Is More Than A Focus On Radiology And Fraud” »

Ben RayfieldWeather control tech exists, to some extent. EMP weapons exist. If there was a 477 mile long lightning, it was probably either due to the sun or is a weapon or a terraforming experiment.

Quinn SenaAuthor.

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Continue reading “$323 million in ETH stolen from cross-chain protocol Wormhole” »

Yanis Varoufakis also discussed “pay-to-earn” and the blockchain’s long-term consequences.

Former Greek Finance Minister and one-time in-house economist at Valve, Yanis Varoufakis, gave a long and freewheeling interview to the website, the Crypto Syllabus, focusing on the blockchain, its potential and disappointments, and where it sits in the larger context of politics, surveillance, and economics.

Of particular note to PC Gamer readers is his description of his time with Valve. Varoufakis had access to Valve’s data on Steam’s nascent player-to-player marketplace in the early 2010s, which he used to advise the company and his own economics research. Describing Valve’s initial pitch to him, Varoufakis said:

Continue reading “Former Valve economist calls Facebook’s metaverse ‘a Steam-like digital economy’ with Zuckerberg as its ‘techno-lord’” »

This video covers the world in 2080 and its future technologies. Watch this next video about the world in 2070: https://bit.ly/3nYXvjf.
► BlockFi: Get Up To $250 In Bitcoin: https://bit.ly/3rPOf1V
► Jarvis AI: Write 5x Faster With Artificial Intelligence: https://bit.ly/3HbfvhO
► M1 Finance: Open A Roth IRA And Get Up To $500: https://bit.ly/3KHZvq0
► Udacity: 75% Off All Courses (Biggest Discount Ever): https://bit.ly/3j9pIRZ
► Business Ideas Academy: Start A Business You Love: https://bit.ly/3KI7B1S

SOURCES:
• https://www.futuretimeline.net.
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• Physics of the Future (Michio Kaku): https://amzn.to/33NP7f7

Continue reading “The World in 2080: Top 7 Future Technologies” »

This authenticator app is designed to install bank info-stealing malware that could wipe you out.

China has designated some cities and entities to trial blockchain applications, underscoring the importance Beijing is attaching to this particular technology.

In 2019, President Xi Jinping called on China to “seize the opportunities” presented by blockchain, giving his personal backing to the technology.

The Chinese capital Beijing and mega city Shanghai as well as Guangzhou in the south are all part of the pilot projects. Local government departments, universities, banks, hospitals, car companies and power firms are among the 164 entities chosen by China to carry out trial blockchain applications.