Lifeboat Foundation

Ex-Google engineer Blake Lemoine discusses sentient AI
https://www.techtarget.com/searchenterpriseai/feature/Ex-Goo…entient-AI

Interview with LaMDA

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GPT-3 reveals why it thinks AI will eventually take over the world…

✔️ More GPT-3 Interviews: https://www.youtube.com/playlist?list=PLy-h3fhzw40tfAsCMBXBduszV3ZZnZKqu.

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Due to cancer lots of people dies every year.

Popular Bengali actress Aindrila Sharma, 24, died on Sunday after suffering from multiple cardiac arrests. She was also a cancer survivor. Can cancer and its treatment affect heart? Here’s what experts have to say.

Investigators at Cedars-Sinai have created a unique and detailed molecular profile of endometriosis to help improve therapeutic options for the millions of women suffering from the disease.

The study is published today in the journal Nature Genetics.

“Endometriosis has been an understudied disease in part because of limited cellular data that has hindered the development of effective treatments. In this study we applied a new technology called single-cell genomics, which allowed us to profile the many different cell types contributing to the disease,” said Kate Lawrenson, Ph.D., an associate professor in the Department of Obstetrics and Gynecology at Cedars-Sinai, and co-senior and corresponding author of the study.

The blobfish was crowned the world’s ugliest animal in 2013 — a title it still defends today. But drop it 9,200 feet below sea level, and the water holds up all that flab like a push-up bra, making the fish a little more handsome.

Researchers have used fruit flies to decipher an unexplained connection between Alzheimer’s disease and a genetic variation, revealing that it causes neurons to die.

The findings from the Walter and Eliza Hall Institute (WEHI)-led team uncover a possible cause of neurodegeneration in the early stages of Alzheimer’s disease and open the door for the future development of new treatments for cognitive diseases.

The study, “An increase in mitochondrial TOM activates apoptosis to drive retinal neurodegeneration,” with collaborators from Australian National University, is published in Scientific Reports.

Working with one of the world’s preeminent thermoelectric materials researchers, a team of researchers in the Clemson Department of Physics and Astronomy and the Clemson Nanomaterials Institute (CNI) has developed a new, fool-proof method to evaluate thermoelectric materials.

Department of Physics and Astronomy Research Assistant Professor Sriparna Bhattacharya, Engineer Herbert Behlow, and CNI Founding Director Apparao Rao collaborated with world-renowned researcher H. J. Goldsmid, professor emeritus at the University of New South Wales (UNSW) in Sydney, Australia, to create a one-stop method for evaluating the efficiency of thermoelectric materials.

Goldsmid is considered by many to be the “father of thermoelectrics” for his pioneering work in thermoelectric materials. Bhattacharya first connected with Goldsmid on LinkedIn, telling him she had confirmed one of his theoretical predictions during her graduate studies at Clemson University.

In today’s digital age, computational tasks have become increasingly complex. This, in turn, has led to an exponential growth in the power consumed by digital computers. Thus, it is necessary to develop hardware resources that can perform large-scale computing in a fast and energy-efficient way.

In this regard, optical computers, which use light instead of electricity to perform computations, are promising. They can potentially provide lower latency and reduced power consumption, benefiting from the parallelism that optical systems have. As a result, researchers have explored various optical computing designs.

For instance, a diffractive optical network is designed through the combination of optics and deep learning to optically perform complex computational tasks such as image classification and reconstruction. It comprises a stack of structured diffractive layers, each having thousands of diffractive features/neurons. These passive layers are used to control light-matter interactions to modulate the input light and produce the desired output. Researchers train the diffractive network by optimizing the profile of these layers using deep learning tools. After the fabrication of the resulting design, this framework acts as a standalone optical processing module that only requires an input illumination source to be powered.

The US Supreme Court on Monday rejected a bid by NSO Group to block a WhatsApp lawsuit accusing the Israeli tech firm of allowing mass cyberespionage of journalists and human rights activists.

The Supreme Court denied NSO’s plea for legal immunity and ruled that the case, which targets the company’s Pegasus software, can continue in a California federal court, a court filing showed.

Pegasus gives its government customers—which have allegedly included Mexico, Hungary, Morocco and India—near-complete access to a target’s device, including their personal data, photos, messages and location.