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Yesterday the U.S. Preventative Service Task Force (USPSTF) announced an updated recommendation for breast cancer screening focusing on encouraging more women to begin biennial (every other year) mammograms at age 40. This recommendation, available online now in draft form, is an update to the Task Force’s January 2016 recommendation that women aged 50 – 74 receive mammograms every other year. At the same time, the USPSTF noted that women in their 40s should make an individual choice regarding regular breast cancer screening.

The USPSTF, comprised of experts in disease prevention and evidence-based medicine, serves as an independent team striving to improve the health of people throughout the United States. The Task Force recommends preventative healthcare based on evidence and clinical data. While the recommendations levied by the Task Force pertain to various preventative services, including cancer screening, behavioral counseling, and preventive medicines, the group’s overarching focus remains to help stay healthy.

Importantly, the USPSTF does not conduct its own studies or clinical trials. Instead, this group reviews evidence on preventative approaches to different diseases to conclude the potential pros and cons of such measures.

Cristina Montes Muntinlupa, Philippines

The most common method astronomers use to determine the composition of stars, planets, and other objects is spectroscopy. Today, this process uses instruments with a grating that spreads out the light from an object by wavelength. This spread-out light is called a spectrum. Every element — and combination of elements — has a unique fingerprint that astronomers can look for in the spectrum of a given object. Identifying those fingerprints allows researchers to determine what it is made of.

So you are pretty sure artificial intelligence is the future and you want a job in AI before it takes yours, but you don’t know how to code or have a background in technology. Not to worry! There’s a new job you are likely qualified for, and it’s paying hundreds of thousands of dollars a year.

What To Know: Microsoft Corp MSFT-backed ChatGPT has taken the world by storm. It exceeded 100 million monthly active users in two months’ time, making it the fastest-growing platform ever, and it’s not slowing down.

The thing about chatbots like ChatGPT is they need to be taught by humans. After a developer builds a large language model (LLM), the program needs to learn to communicate. That’s where you could come into play.

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A group of researchers led by Andreas Wallraff, Professor of Solid State Physics at ETH Zurich, has performed a loophole-free Bell test to disprove the concept of “local causality” formulated by Albert Einstein in response to quantum mechanics.

By showing that quantum mechanical objects that are far apart can be much more strongly correlated with each other than is possible in conventional systems, the researchers have provided further confirmation for . What’s special about this experiment is that the researchers were able for the first time to perform it using , which are considered to be promising candidates for building powerful quantum computers.

A Bell test is based on an experimental setup that was initially devised as a by British physicist John Bell in the 1960s. Bell wanted to settle a question that the greats of physics had already argued about in the 1930s: Are the predictions of quantum mechanics, which run completely counter to everyday intuition, correct, or do the conventional concepts of causality also apply in the atomic microcosm, as Albert Einstein believed?

In a result decades in the making, Los Alamos scientists have achieved light amplification with electrically driven devices based on solution-cast semiconductor nanocrystals—tiny specs of semiconductor matter made via chemical synthesis and often called colloidal quantum dots.

This demonstration, reported in the journal Nature, opens the door to a completely new class of electrically pumped lasing devices—highly flexible, solution-processable laser diodes that can be prepared on any crystalline or non-crystalline substrate without the need for sophisticated vacuum-based growth techniques or a highly controlled clean-room environment.

“The capabilities to attain light amplification with electrically driven colloidal have emerged from decades of our previous research into syntheses of nanocrystals, their photophysical properties and optical and electrical design of quantum dot devices,” said Victor Klimov, Laboratory Fellow and leader of the quantum dot research initiative.

Scientists have been dreaming about nuclear fusion for decades. Microsoft thinks the technology is nearly ready to plug into the grid.

Microsoft just signed a jaw-dropping agreement to purchase electricity from a nuclear fusion generator. Nuclear fusion, often called the Holy Grail of energy, is a potentially limitless source of clean energy that scientists have been chasing for the better part of a century.

A company called Helion Energy thinks it can deliver that Holy Grail to Microsoft by 2028. It announced a power purchase agreement with Microsoft this morning that would see it plug in the world’s first commercial fusion generator to a power grid in Washington.


“I would say it’s the most audacious thing I’ve ever heard.”

At its I/O developer conference, the search giant needs to rethink its AI strategy if it wants to catch Microsoft. The missing element? Experimentation.

Google has had a rough six months. Since ChatGPT launched last November — followed by the new Bing in February and GPT-4 in March — the company has failed to establish its AI credentials. Its own offering, the “experimental” chatbot Bard, compares poorly to rivals, and insider reports have portrayed a company in panic and disarray. Today, at its annual I/O conference, the company needs to convince the public (and shareholders) that it has a meaningful response. But to do that, it needs a new playbook.


AI outputs are increasingly defining the cultural moment — just not Google’s.