Lifeboat Foundation

Thousands of words, big and small, are crammed inside our memory banks just waiting to be swiftly withdrawn and strung into sentences. In a recent study of epilepsy patients and healthy volunteers, National Institutes of Health researchers found that our brains may withdraw some common words, like “pig,” “tank,” and “door,” much more often than others, including “cat,” “street,” and “stair.” By combining memory tests, brain wave recordings, and surveys of billions of words published in books, news articles and internet encyclopedia pages, the researchers not only showed how our brains may recall words but also memories of our past experiences.

“We found that some words are much more memorable than others. Our results support the idea that our memories are wired into neural networks and that our brains search for these memories, just the way search engines track down information on the internet,” said Weizhen (Zane) Xie, Ph.D., a cognitive psychologist and post-doctoral fellow at the NIH’s National Institute of Neurological Disorders and Stroke (NINDS), who led the study published in Nature Human Behaviour. “We hope that these results can be used as a roadmap to evaluate the health of a person’s memory and brain.”

Dr. Xie and his colleagues first spotted these words when they re-analyzed the results of memory tests taken by 30 epilepsy patients who were part of a clinical trial led by Kareem Zaghloul, M.D., Ph.D., a neurosurgeon and senior investigator at NINDS. Dr. Zaghloul’s team tries to help patients whose seizures cannot be controlled by drugs, otherwise known as intractable epilepsy. During the observation period, patients spend several days at the NIH’s Clinical Center with surgically implanted electrodes designed to detect changes in brain activity.

What money should be has been explored by more than one economist. What it is, strange as it may sound, is also up for debate. Yet amidst these disputes, practical and abstract, there is consensus.

At this time the entire crypto market is valued between 380 and 560 billion USD. The value of all the world’s stocks is around 70 trillion USD. The daily volume of the Forex is 5.1 trillion USD. Despite the excitement it periodically sparks in mass media and high finance circles, crypto is barely a drop in the bucket.

As I stated in my response to Robert Shiller’s critique of Bitcoin, tokenization is a means of dividing an asset. Tokenization, easily dividing an asset among stakeholders, is a strength of blockchain technology. Tokens can represent abstract entities issued on the blockchain, but they can also be tethered to a piece of real estate, a work of art, a trademark, or a freighter of Chilean copper.

She can’t get sick or be late to the set, and her hair and makeup needs are minimal: Her name is Erica, and Hollywood is hoping that a sophisticated robot can be its next big star. The synthetic actor has been cast in “b,” a $70 million science-fiction movie which producer Sam Khoze describes as “a James Bond meets Mission Impossible story with heart.”

Scribe Tarek Zohdy (“1st Born”), says, the story is about scientists who create an AI robot named Erica who quickly realize the danger of this top-secret program that is trying to perfect a human through a non-human form.

Variety caught up with the filmmakers Zohdy and Khoze to discuss “b” the $70 million film that plans to finish shooting next year, after a director and human star have been brought on.

Cynet, a cybersecurity startup that leverages AI and machine learning to detect threats, has raised $18 million in venture capital.

However, the situation has been improving as Chinese tech giants including e-commerce company Alibaba, search engine Baidu, on-demand delivery company Meituan Dianping, ride-hailing operator Didi Chuxing and smartphone maker Xiaomi now offer more affordable health care plans via mutual aid platforms, which operate as a collective claim-sharing mechanism.

China’s online mutual aid platforms are disrupting old school insurance companies by leveraging big data and internet finance technologies to offer low cost medical coverage.

Pagaya, an AI-driven institutional asset manager that focuses on fixed income and consumer credit markets, today announced it raised $102 million in equity financing. CEO Gal Krubiner said the infusion will enable Pagaya to grow its data science team, accelerate R&D, and continue its pursuit of new asset classes including real estate, auto loans, mortgages, and corporate credit.

Pagaya applies machine intelligence to securitization — the conversion of an asset (usually a loan) into marketable securities (e.g., mortgage-backed securities) that are sold to other investors — and loan collateralization. It eschews the traditional method of securitizing pools of previously assembled asset-backed securities (ABS) for a more bespoke approach, employing algorithms to compile discretionary funds for institutional investors such as pension funds, insurance companies, and banks. Pagaya selects and buys individual loans by analyzing emerging alternative asset classes, after which it assesses their risk and draws on “millions” of signals to predict their returns.

Pagaya’s data scientists can build algorithms to track activities, such as auto loans made to residents in cities and even specific neighborhoods, for instance. The company is only limited by the amount of data publicly available; on average, Pagaya looks at decades of information on borrowers and evaluates thousands of variables.

Tunde Ajaja Former Minister of Finance, Dr Ngozi Okonjo-Iweala, has said in all the positions she has occupied, serving as Nigeria’s Minister of Finance remains one of her toughest jobs so far. O…

A bug in a protocol used by virtually all Internet of Things devices exposes millions of users to potential attack, a researcher reported Monday. The fault centers on the Universal Plug and Play protocol, a 12-year-old implementation that simplifies connections among network devices such as computers, printers, mobile devices and Wi-Fi access points.

Billions of devices are theoretically vulnerable, the report stated, but only those with UPnP activated currently face risk of attack.

Turkish security engineer Yunus Çadirci uncovered the UPnP bug, named CallStranger, that could be exploited to gain access to any smart device such as security cameras, printers and routers that are connected to the Internet. Once access is gained, malicious code can be sent through network firewalls and other security defenses and reach internal data banks.

A pair of new security threats to Intel-based computer systems have been revealed. The beleaguered semiconductor chip manufacturer has faced a seemingly endless series of vulnerabilities over the past two years.

Although no known attacks have occurred, two teams of researchers have confirmed vulnerabilities in what is supposed to be the safest neighborhood within Intel processor architecture.

One attack, dubbed SGAxe, can gain entry into Intel’s Software Guard eXtensions (SGX) services that were specifically designed to protect critical data in the event of massive assault elsewhere in a system. A hacker theoretically can steal cryptographic keys stored in SGX and use them to break security measures protecting sensitive data such as financial records, copyrighted content or passwords.