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Conventional Computers Can Learn To Solve Tricky Quantum Problems in Physics and Chemistry

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Conventional Computers Can Learn To Solve Tricky Quantum Problems in Physics and Chemistry

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Physicists prove that classical machine learning models can improve predictions about quantum materials.

Quantum computers have generated a lot of buzz and for good reason. The futuristic computers are designed to mimic what happens in nature at microscopic scales. This means they have the power to better understand the quantum realm and speed up the discovery of new materials, including pharmaceuticals, environmentally friendly chemicals, and more. However, experts say it is still a decade away — or more — before practical quantum computers are available. What are researchers to do in the meantime?

A new study describes how machine learning tools, run on classical computers, can be used to make predictions about quantum systems and therefore help scientists solve some of the trickiest physics and chemistry problems. While this notion has been proposed before, the new report is the first to mathematically prove that the method works in problems that no traditional algorithms could solve. Led by Caltech, the study was published on September 23 in the journal Science.
Refer : https://scitechdaily.com/conventional-computers-can-learn-to-solve-tricky-quantum-problems-in-physics-and-chemistry/
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1. What is the main idea of the article?
- Physicists prove that classical machine learning models can improve predictions about quantum materials.
2. What did you learn from the article?
- The developments in quantum research are more advanced than many people think. Because it leads to new discoveries that will benefit our world greatly in the future.
3. Do you recommend the article to your classmates? Why/Why not?
- Not recommended, because I don't think this news directly benefits my classmate.

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Artificial Intelligence Can Accurately Predict Human Response to New Drug Compounds

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Artificial Intelligence Can Accurately Predict Human Response to New Drug Compounds

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Between identifying a potential therapeutic compound and U. S. Food and Drug Administration (FDA) approval of a new drug is an arduous journey that can take well over a decade and cost upwards of a billion dollars. A team of researchers at the CUNY Graduate Center has developed a novel artificial intelligence model that could significantly improve the accuracy and reduce the time and cost of the drug development process.

As described in a paper to be published today (October 17) in Nature Machine Intelligence, the new model, called CODE-AE, can screen novel drug compounds to accurately predict efficacy in humans. In tests, it was also able to theoretically identify personalized drugs for over 9,000 patients that could better treat their conditions. Scientists expect the technique to significantly accelerate drug discovery and precision medicine.
refer : https://scitechdaily.com/artificial-intelligence-can-accurately-predict-human-response-to-new-drug-compounds/
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1. What is the main idea of the article?
- A novel artificial intelligence model could significantly improve the accuracy and reduce the time and cost of the drug development process.
2. What did you learn from the article?
- Artificial intelligence is a multi-talented robot that can be used to treat people well and accurately.
3. Do you recommend the article to your classmates? Why/Why not?
- Not recommended, because I don't think this news directly benefits my classmate.

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High-Tech Quantum Sensors: Navigating When GPS Goes Dark

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High-Tech Quantum Sensors: Navigating When GPS Goes Dark

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When talking about quantum inertial sensors, words like “tough” or “rugged” are unlikely to be spoken. These remarkable scientific instruments can measure motion a thousand times more accurately than the devices that help navigate today’s missiles, drones, and aircraft. However, its delicate, table-sized array of components that includes a complex laser and vacuum system has essentially kept the technology grounded and confined to the controlled settings of a laboratory.

Jongmin Lee wants to change that.

The atomic physicist is part of a team at Sandia that envisions quantum inertial sensors as revolutionary, onboard navigational aids. The team is working to re-engineer the sensor into a compact, rugged device, where the technology could safely guide vehicles when GPS signals are jammed or lost.
refer : https://scitechdaily.com/high-tech-quantum-sensors-navigating-when-gps-goes-dark/
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1. What is the main idea of the article?
- High-tech quantum sensors could guide vehicles without satellites, if they can handle the ride.
2. What did you learn from the article?
- Having state-of-the-art technology can help and facilitate us. no matter what problem you encounter
3. Do you recommend the article to your classmates? Why/Why not?
- Recommended because this news is definitely useful for my classmates for everyday use in the future.

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New Method Exposes How Artificial Intelligence Works

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New Method Exposes How Artificial Intelligence Works

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Los Alamos National Laboratory researchers have developed a novel method for comparing neural networks that looks into the “black box” of artificial intelligence to help researchers comprehend neural network behavior. Neural networks identify patterns in datasets and are utilized in applications as diverse as virtual assistants, facial recognition systems, and self-driving vehicles.

“The artificial intelligence research community doesn’t necessarily have a complete understanding of what neural networks are doing; they give us good results, but we don’t know how or why,” said Haydn Jones, a researcher in the Advanced Research in Cyber Systems group at Los Alamos. “Our new method does a better job of comparing neural networks, which is a crucial step toward better understanding the mathematics behind AI.”
Refer :
https://scitechdaily.com/new-method-exposes-how-artificial-intelligence-works/
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1. What is the main idea of the article?
- Artificial IntelligenceDOELos Alamos National Laboratory
2. What did you learn from the article?
- The brain network of artificial intelligence is very complex and creative. People are developing more and more quality artificial intelligence every day.
3. Do you recommend the article to your classmates? Why/Why not?
- Recommended I think the data of artificial intelligence will be useful to my classmates someday.

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Can artificial intelligence design your perfect perfume?

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Can artificial intelligence design your perfect perfume?

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The ScenTronix system asks a series of questions and then uses those responses to generate and dispense three scents.

But can the system really make your perfect fragrance?

BBC foreign correspondent Anna Holligan tries it out for herself.
Refer : https://www.bbc.com/news/av/technology-63216155
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1. What is the main idea of the article?
- A company in the Netherlands is using artificial intelligence to produce personalised perfumes.
2. What did you learn from the article?
- Is our world evolving into where artificial intelligence are now capable of design odors for humans?
3. Do you recommend the article to your classmates? Why/Why not?
- Not recommended because I think creating perfume from artificial intelligence It's not very interesting.

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The crash dummy aimed at protecting women drivers

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The crash dummy aimed at protecting women drivers

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The technology is used to estimate the effectiveness of seatbelts and safety features in new vehicle designs.

Until now the most commonly used dummy has been based on the average male build and weight.

However, women represent about half of all drivers and are more prone to injury in like-for-like accidents.

The dummy that is sometimes used as a proxy for women is a scaled-down version of the male one, roughly the size of a 12-year-old girl.

At 149cm tall (4ft 8ins) and weighing 48kg (7st 5lb), it represents the smallest 5% of women by the standards of the mid-1970s.

However, a team of Swedish engineers has finally developed the first dummy, or to use the more technical term - seat evaluation tool - designed on the body of the average woman.

Their dummy is 162cm (5ft 3ins) tall and weighs 62kg (9st 7lbs), more representative of the female population.
Refer : https://www.bbc.com/news/technology-62877930
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1. What is the main idea of the article?
- Since the 1970s, crash test dummies - mechanical surrogates of the human body - have been used to determine car safety.
2. What did you learn from the article?
- Driving safety is very important to avoid accidents. The use of robots to experiment with driving, so they can replace humans while driving is good.
3. Do you recommend the article to your classmates? Why/Why not?
- Recommended because most of my classmates have cars and they should know if an accident happens when if they are not careful.

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Start-up denies using tech to turn call centre accents 'white'

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Start-up denies using tech to turn call centre accents 'white'

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The company, Sanas, has told the BBC that its technology could overcome accent-based prejudice and reduce racist abuse faced by staff.

But some critics have called it a move in the wrong direction and say language diversity should be celebrated.

News site SFGATE accused Sanas of making the agents, many of whom are from the global south, "sound white".

Sanas, which has reportedly received $32m in funding since June 2022, describes its technology as an accent translation tool.

A section on its website called "Demo" invites visitors to "hear the magic" by playing a recording of someone with an apparently South Asian accent reading a call centre script and then clicking a slider button which turns the speech into a slightly robotic sounding American accent.

SFGATE accused the start-up of attempting to make "call centre workers sound white and American, no matter the country they're from".

He said the tool had been inspired in part by the experience of a close friend of one of the other founders.

The student found a technical support role in a call centre, but was fired after three months because, Mr Narayana said, of the discrimination he faced because of his accent.

A former call centre agent himself, Mr Narayana said in his experience agents would be abused or discriminated against because of how they sound - abuse the company believes its technology can prevent.

But Ashleigh Ainsley, co-founder of the organisation Color in Tech, argued: "Should we just alter people's skin colours because some people might not like that because they're racist?

"We cannot move in this direction. We need to build tolerance."

Mr Ainsley said he felt Sanas' efforts were misdirected, explaining: "The problem is with people who feel it's acceptable to abuse [call centre staff], not with the people who have the accent."

He said instead more effort should be made to ensure that diversity in language was celebrated and that racism should not be tolerated.
Refer : https://www.bbc.com/news/technology-62633188
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1. What is the main idea of the article?
- A Silicon Valley start-up has developed technology that can change the accents of call centre workers in real time.
2. What did you learn from the article?
- Using technology to improve call center accents can be a problem for racism. because of the sound that comes out The listener may not like its accent.
3. Do you recommend the article to your classmates? Why/Why not?
- Not recommended because being an overseas call center would not cause any problems or lessons for my classmates.

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NHS IT supplier held to ransom by hackers

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NHS IT supplier held to ransom by hackers

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A cyber-attack on a major IT provider of the NHS has been confirmed as a ransomware attack.

Advanced, which provides digital services like patient check-in and NHS 111, says it may take three to four weeks to fully recover.

The NHS insists that disruption is minimal, but Advanced would not say whether NHS data had been stolen.

The Birmingham-based firm says it first spotted the hack at 07:00 BST on 4 August and immediately took steps to contain the hackers. It is now working to restore services.

The company refused to say if it was in negotiations with hackers or paying a ransom to them.

In a statement, it said: "We are rebuilding and restoring impacted systems in a separate and secure environment."
Refer : https://www.bbc.com/news/technology-62506039
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1.What is the main idea of the article?
- Ransomware hackers take control of IT systems, steal data and demand a payment from victims to recover.
2.What did you learn from the article?
- Creating things related to technology and websites are at risk of being hacked or stolen by malicious people. We should be careful and protect well. In order not to cause accidents in our technology
3.Do you recommend the article to your classmates? Why/Why not?
- Recommended because this news is an example for friends to increase their caution.

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Humanoid diving robot explores shipwrecks on the bottom of the ocean

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Humanoid diving robot explores shipwrecks on the bottom of the ocean

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OceanOneK resembles a human diver from the front, with arms and hands and eyes that have 3D vision, capturing the underwater world in full color.

The back of the robot has computers and eight multidirectional thrusters that help it carefully maneuver the sites of fragile sunken ships.

When an operator at the ocean's surface uses controls to direct OceanOneK, the robot's haptic (touch-based) feedback system causes the person to feel the water's resistance as well as the contours of artifacts.

OceanOneK's realistic sight and touch capabilities are enough to make people feel like they're diving down to the depths -- without the dangers or immense underwater pressure a human diver would experience.

Stanford University roboticist Oussama Khatib and his students teamed up with deep-sea archaeologists and began sending the robot on dives in September. The team just finished another underwater expedition in July.

Refer : https://edition.cnn.com
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1. What is the main idea of the article?
- (CNN)A robot created at Stanford University in California is diving down to shipwrecks and sunken planes in a way that humans can't. Known as OceanOneK, the robot allows its operators to feel like they're underwater explorers, too.
2.What did you learn from the article?
- Using technology to facilitate human beings is very important. Because robots that do not have feelings to do things that humans can't do. Allows humans to take advantage of robots in abundance.
3.Do you recommend the article to your classmates? Why/Why not?
- Recommended because in the future, if classmates want to use various technologies, they can take this news as a case example.

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Instagram U-turns on TikTok-style revamp

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Instagram U-turns on TikTok-style revamp

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Among the new features was an increase in recommended video content, in a similar style to rival app TikTok.

The display and feeds were criticised as people felt they were not seeing photos from friends and family as much.

Meta, Instagram's parent company, said it wanted to "take the time" to get the changes right.

The revamp of Instagram towards more video content is believed to have been ignited by the soaring popularity of competitor TikTok - where users post and watch more video as opposed to static photographs.

According to data from digital analytics company Sensor Tower, the TikTok app has now been downloaded more than three billion times around the world - the first app not owned by Meta to reach this landmark.

Instagram boss Adam Mosseri told The Verge that the test version of the revamped app would be phased out within weeks.

"I'm glad we took a risk - if we're not failing every once in a while, we're not thinking big enough or bold enough," he said.

"But we definitely need to take a big step back and regroup. [When] we've learned a lot, then we come back with some sort of new idea or iteration. So we're going to work through that."

Mr Mosseri had previously posted a video explaining the move towards video, saying that full-screen videos would be promoted over photographs.

But after some backlash, he followed it up with a series of tweets saying he wanted to "continue supporting photos".
Refer : https://www.bbc.com/news/technology-62345306
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1. What is the main idea of the article?
- Instagram says it is pausing a rollout of new features on its app following backlash online from users, influencers and celebrities.
2.What did you learn from the article?
- To be successful in any everything I often encounter problems and competitors. I should be ready to deal with it and always find a way to fix it.
3.Do you recommend the article to your classmates? Why/Why not?
- TikTok and Instagram are now the most popular applications that many people use today. They should have known that informed about knowledge about their favorite applications.

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Blake Lemoine: Google fires engineer who said AI tech has feelings

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Blake Lemoine: Google fires engineer who said AI tech has feelings

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Last month, Blake Lemoine went public with his theory that Google's language technology is sentient and should therefore have its "wants" respected.

Google, plus several AI experts, denied the claims and on Friday the company confirmed he had been sacked.

Mr Lemoine told the BBC he is getting legal advice, and declined to comment further.

Google engineer says AI system may have feelings
How human-like are the most sophisticated chatbots?

Lamda is a breakthrough technology that Google says can engage in free-flowing conversations. It is the company's tool for building chatbots.

Blake Lemoine started making headlines last month when he said Lamda was showing human-like consciousness. It sparked discussion among AI experts and enthusiasts about the advancement of technology that is designed to impersonate humans.
Refer : https://www.bbc.com/news/technology-62275326?piano-
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1. What is the main idea of the article?
- Google has fired one of its engineers who said the company's artificial intelligence system has feelings.
2. What did you learn from the article?
- artificial intelligence system is a system that can be developed in order to facilitate human beings. But it can cause various dangers to humans as well, for example an artificial intelligence system may invade our private space.
3. Do you recommend the article to your classmates? Why/Why not?
- Recommend because artificial intelligence system is a system that is closer to us than we think. For example, Siri (Apple) plays a role in our lives and everyone needs to be careful with our privacy as much as possible.

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Thousands of users report Twitter outage as app breaks down

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Thousands of users report Twitter outage as app breaks down

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Twitter users were unable to access the social-media platform for about an hour on Thursday afternoon.

Those trying to access the platform on mobile devices and desktop were met with blank feeds, logged out and told to "try again later".

Outage monitor Downdetector began receiving user reports of problems with the app and website at 12:45 BST. By 13:12, it had received almost 30,000.

Users trying to tweet or reload their feeds were told "tweets aren't loading right now", with many complaining on Instagram, Facebook and Reddit.

It follows Twitter's announcement it would be suing Tesla chief executive Elon Musk for pulling out of his planned purchase.

A legal battle over Twitter's bot numbers and terms of the $44bn deal now looms between the platform's lawyers and Mr Musk.
Refer:https://www.bbc.com/news/technology-62137992
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1. What is the main idea of the article?
- The idea of this article is There was a bug related to Twitter that prevented many users from accessing it.
2. What did you learn from the article?
- Learn from the potential pitfalls of Twitter. When I have problems working that affect others, I have to accept the consequences of that. and fix it as quickly as possible
3. Do you recommend the article to your classmates? Why/Why not?
- Definitely recommend!! because there are many classmates who use Twitter. Therefore, I would like all classmates to be careful when using social media. Because it can always cause problems.