Lifeboat Foundation

Some say that Moore’s Regulation, which tracks the exponential progress electronics during the last six a long time has stalled, and technological stagnation threatens. Mark Rosker, director of DARPA’s Microsystems Know-how Workplace (MTO), sees issues very in another way. In a new interview with Samuele Lilliu, he explains how the expansion described by Moore’s Regulation has been sustained by waves of innovation from DARPA and the way the following stage, what he calls the Fourth Wave, might be carried ahead by applied sciences his workplace is now creating.

The best model of Moore’s Regulation says that the variety of transistors on a silicon chip roughly doubles each two years. This was an commentary made by Gordon Moore – who later co-founded Intel – in 1965, and it proved to be remarkably correct. Yearly since then, an increasing number of highly effective computer systems and, later, laptops and smartphones have appeared in the marketplace. Low-cost chips have now grow to be important for vehicles, televisions, cameras and different units, which beforehand functioned with out electronics. They’re important throughout the financial system.

Continue reading “DARPA Goals To Preserve Moore’s Regulation Going — Right here’s How” »

In addition to securities fraud and obstruction of justice, James Velissaris has been charged with wire fraud and lying to auditors.

The founder and manager of a $1.7 billion mutual fund that collapsed last year has been charged by federal prosecutors with securities fraud and obstruction of justice for allegedly inflating fund asset values to keep investor money flowing, then falsifying records to conceal the improprieties.

The Infinity Q Diversified Alpha Fund halted investor redemptions in February 2021, roughly seven years after it was co-founded by James Velissaris, 37, its chief investment officer. A government inquiry began, Velissaris stepped down and the mutual fund and a parallel hedge fund he oversaw began liquidating.

Continue reading “Founder of collapsed $1.7 billion mutual fund charged with fraud” »

The Future Of Space Tech & Innovation — Dr. Joel Mozer Ph.D., Director of Science, Technology & Research, United States Space Force.

Dr. Joel Mozer is the Director of Science, Technology, and Research, United States Space Force (https://www.spaceforce.mil/).

Continue reading “Dr Joel Mozer, PhD — United States Space Force — Director of Science, Technology, and Research” »

The Medusa Android banking Trojan is seeing increased infection rates as it targets more geographic regions to steal online credentials and perform financial fraud.

Today, researchers at ThreatFabric have published a new report detailing the latest tricks employed by the Medusa malware and how it continues to evolve with new features.

Pioneering global generic medicine access to improve and extend people’s lives — keren haruvi snir-president, sandoz US, head of north america.

Keren Haruvi is President of Sandoz US and Head of their North America business (https://www.novartis.us/about-us/our-leadership/us-country-l…n-haruvi).

Continue reading “Keren Haruvi — President, Sandoz US, Head Of North America — Global Generic Medicine Access For All” »

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.

Full Story:

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” »