Lifeboat Foundation: Safeguarding Humanity
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Speech and language recognition technology is a rapidly developing field, which has led to the emergence of novel speech dialog systems, such as Amazon Alexa and Siri. A significant milestone in the development of dialog artificial intelligence (AI) systems is the addition of emotional intelligence. A system able to recognize the emotional states of the user, in addition to understanding language, would generate a more empathetic response, leading to a more immersive experience for the user.

“Multimodal sentiment analysis” is a group of methods that constitute the gold standard for an AI dialog system with sentiment detection. These methods can automatically analyze a person’s psychological state from their speech, voice color, facial expression, and posture and are crucial for human-centered AI systems. The technique could potentially realize an emotionally intelligent AI with beyond-human capabilities, which understands the user’s sentiment and generates a response accordingly.

However, current emotion estimation methods focus only on observable information and do not account for the information contained in unobservable signals, such as physiological signals. Such signals are a potential gold mine of emotions that could improve the sentiment estimation performance tremendously.

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Raspberries are the ultimate summer fruit. Famous for their eye-catching scarlet color and distinctive structure, they consist of dozens of fleshy drupelets with a sweet yet slightly acidic pulp. But this delicate structure is also their primary weakness, as it leaves them vulnerable to even the slightest scratch or bruise. Farmers know all too well that raspberries are a difficult fruit to harvest—and that’s reflected in their price tag. But what if robots, equipped with advanced actuators and sensors, could lend a helping hand? Engineers at EPFL’s Computational Robot Design & Fabrication (CREATE) lab have set out to tackle this very challenge.

Sky-high labor costs and shortages of workers cause farmers to lose millions of dollars’ worth of produce each year—and the problem is even more acute when it comes to delicate crops such as . But for now, there’s no viable alternative to harvesting the fruit by hand. “It’s an exciting dilemma for us as robotics engineers,” says Josie Hughes, a professor at CREATE. “The raspberry harvesting season is so short, and the fruit is so valuable, that wasting them simply isn’t an option. What’s more, the cost and logistical challenges of testing different options out in the field are prohibitive. That’s why we decided to run our tests in the lab and develop a replica raspberry for training harvesting robots.”

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Scientists said this full picture of the genome will give humanity a greater understanding of our evolution and biology while also opening the door to medical discoveries in areas like aging, neurodegenerative conditions, cancer and heart disease.

“We’re just broadening our opportunities to understand human disease,” said Karen Miga, an author of one of the six studies published Thursday.

The research caps off decades of work. The first draft of the human genome was announced in a White House ceremony in 2000 by leaders of two competing entities: an international publicly funded project led by an agency of the U.S. National Institutes of Health and a private company, Maryland-based Celera Genomics.

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Type 1 diabetes is caused by insulin deficiency resulting from immune-mediated destruction of pancreatic beta cells. Its cause is multifactorial, with complex genetic factors and a strong influence of certain HLA types that probably indicates T-cell-mediated disease.1 Despite attempts to halt the autoimmune destruction of the pancreatic islet at disease onset with immunotherapeutic approaches, 1 recovery of pancreatic beta-cell function remains a challenge because type 1 diabetes is not reversible, even early in the disease.

Correspondence from The New England Journal of Medicine — STAT1 Gain of Function, Type 1 Diabetes, and Reversal with JAK Inhibition.

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A 50-year-old woman was buried with a unique “male” pendant.

Archaeologists have discovered a large burial mound in the Siberian “Valley of the Kings” dating to more than 2,500 years ago. The ancient tomb holds the remains of five people, including those of a woman and toddler who were buried with an array of grave goods, such as a crescent moon-shaped pendant, bronze mirror and gold earrings.

The mounds were made by the Scythians — a term used to describe culturally-related nomadic groups that lived on the steppes between the Black Sea and China from about 800 B.C. to about A.D. 300.

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WASHINGTON — Northrop Grumman says it’s still considering whether to rejoin a Blue Origin-led team for a second Artemis lunar lander competition or to go on its own.

In a media briefing March 30 about the company’s overall contributions to the Artemis program, executives said they were “encouraged and excited” about NASA’s plans to procure a second lander through the new Sustaining Lunar Development effort announced March 23. That lander will join the one being developed by SpaceX and based on its Starship vehicle through Option A of the Human Landing System (HLS) program.

Northrop Grumman competed for the original HLS award as part of a “National Team” led by Blue Origin that also included Lockheed Martin and Draper. Northrop’s role in that effort was to provide a transfer element that would transport the lunar module from the Gateway to low lunar orbit.

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