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For people with depression, finding a suitable antidepressant medication can be difficult and involve a lot of trial and error before finding one that works for them. Now a new study led by scientists at UT Southwestern has come up with a new imaging technique which the researchers claim will allow them to predict a person’s response to different types of antidepressant medication without sometimes having to spend months trying to find one that works.

The research first looked at the common antidepressant drug sertraline, one of a class of drugs called selective serotonin reuptake inhibitors (SSRIs), comparing people taking the drug to those taking a placebo. Before they started the medication, participants had their brains scanned in an MRI machine, both while they were resting and performing a reward task. This was repeated again after they had been on the drug or placebo for 8 weeks as well as measuring how their depression had changed, if at all. People who had not responded to sertraline after this time were switched to another antidepressant called bupropion and underwent the MRI tests and evaluation of their depression symptoms again after 8 weeks.

With this data from over 300 people, the researchers used machine learning techniques to map which brain regions and circuits where associated with a response to each drug, allowing them to predict how other people might respond in the future.

The design is a cubic frame on six mechanical legs that looks like it emerged from futuristic sci-fi movies. The mobile home is able to traverse on almost any terrain including steep hills and mountain gorges with its mechanical legs that are enhanced with 2 inches (5 cm) of non-slippery rubber layers and two deployable spikes on the bottom of each piece for easy bolting on the ground.

The mobile home can lay its foundation while remaining uplifted from the ground, descending, or sitting on the ground.

The mobile home’s interior design comes with high-tech elements inspired by a futuristic architectural perspective. The windows of the mobile home are equipped with smart glass technology that can block sunlight when needed. Enchev also used automated furniture and smart technological gadgets in his design. With its integrated storage space, water tanks, and power cells, the mobile home enables its residents to live off-grid comfortably.

Miso Robotics’ Flippy 2 Robot promises to be the first household robot that any person or small buisness could buy to help prepare and make food inside of a kitchen without any big changes having to be made. This looks like it could be the first glimpse into a future in which robots help us inside of our homes.

Daily Futurology News: https://futurology.id.

TIMESTAMPS:
00:00 Finally a real Robot Assistant.
01:34 Their new & improved Robot (Flippy 2)
03:52 Are Household Robots the future?
06:59 When can we expect our own Robots?
09:06 Last Words.

#robotics #future #ai

Want AI that can do 10 trillion operations using just one watt? Do the math using analog circuits instead of digital.


There’s no argument in the astronomical community—rocket-propelled spacecraft can take us only so far. The SLS will likely take us to Mars, and future rockets might be able to help us reach even more distant points in the solar system. But Voyager 1 only just left the solar system, and it was launched in 1977. The problem is clear: we cannot reach other stars with rocket fuel. We need something new.

“We will never reach even the nearest stars with our current propulsion technology in even 10 millennium,” writes Physics Professor Philip Lubin of the University of California Santa Barbara in a research paper titled A Roadmap to Interstellar Flight. “We have to radically rethink our strategy or give up our dreams of reaching the stars, or wait for technology that does not exist.”

Lubin received funding from NASA last year to study the possibility of using photonic laser thrust, a technology that does exist, as a new system to propel spacecraft to relativistic speeds, allowing them to travel farther than ever before. The project is called DEEP IN, or Directed Propulsion for Interstellar Exploration, and the technology could send a 100-kg (220-pound) probe to Mars in just three days, if research models are correct. A much heavier, crewed spacecraft could reach the red planet in a month—about a fifth of the time predicted for the SLS.

✅ Instagram: https://www.instagram.com/pro_robots.

You’re on the PRO Robots channel and in this episode we’re going to talk about a vacation in space. When will this cherished dream come true? How will such a trip take place, what will the preparation consist of, how much does a trip and service in space cost, what will be the food for the space tourists and what are the living conditions and dangers awaiting them — watch this video! Watch this episode to the end and write in the comments: would you dare to go on a space vacation?

0:00 In this video.
0:25 Our Everything.
1:19 Space Perspective.
1:52 SpaceX
3:17 Roscosmos and Space Adventures.
3:46 Orbital Assembly Corporation.
5:00 Astronaut Menu.
5:46 weightlessness and the human body.
6:37 Rest on the Moon.

#prorobots #robots #robot #future technologies #robotics.

More interesting and useful content:
✅ Elon Musk Innovation https://www.youtube.com/playlist?list=PLcyYMmVvkTuQ-8LO6CwGWbSCpWI2jJqCQ
✅Future Technologies Reviews https://www.youtube.com/playlist?list=PLcyYMmVvkTuTgL98RdT8-z-9a2CGeoBQF
✅ Technology news.

#prorobots #technology #roboticsnews.

Move over, Hollywood—science fiction is getting ready to leap off the big screen and enter the real world. While recent science fiction movies have demonstrated the power of artificially intelligent computer programs, such as the fictional character J.A.R.V.I.S. in the Avenger film series, to make independent decisions to carry out a set of actions, these imagined movie scenarios could now be closer to becoming a reality.

In a recent study published in Nature Communications, a journal of Nature, researchers at the University of Missouri and University of Chicago have developed an , called a metamaterial, which can respond to its environment, independently make a decision, and perform an action not directed by a human being. For example, a drone making a delivery might evaluate its environment including , speed or wildlife, and automatically change course in order to complete the delivery safely.

Guoliang Huang, Huber and Helen Croft Chair in Engineering, and co-author on the study, said the mechanical design of their new artificial material incorporates three main functions also displayed by materials found in nature—sensing; information processing; and actuation, or movement.

The price of decentralized blockchain network Algorand (ALGO) surged after the announcement of a new strategic partnership with a real estate firm powered by artificial intelligence.

In a press release, the Algorand Foundation says it’s joining forces with Lofty AI to create a marketplace for investment in tokenized real estate.

Think about the last time that you found yourself driving a particularly treacherous blind curve.

Pretty darned scary, I’d bet.

Indeed, I realize that even the mere act of thinking about such an alarming encounter can be traumatic, so no need to reflectively linger on that reenactment in your mind. Go ahead and change your thought patterns to something less stressful such as mulling over the latest online cat videos or perhaps that delicious scoop of ice cream you recently consumed.

Meanwhile, let’s have a heart-to-heart serious talk about blind curves.

When first learning to drive, few newbies are specifically instructed about blind curves. Sure, there might be discussions about what to do when reaching an especially sharp curve, but the whole conundrum of dealing with a sharp and blind curve is not necessarily resolutely covered.

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