The annual Perseids meteor shower is expected to continue through September. Astronomers say it's one of the brightest and most visible meteor showers of the year.

The annual Perseid meteor shower is set to peak on Sunday night into early Monday morning, giving stargazers the chance to see hundreds of meteors.

The Orionids meteor shower peaks on Monday, but will continue to light up the sky through Nov. 22, as debris from Halley's Comet enters Earth's atmosphere.

The standard model predicted that the NASA/ESA/CSA James Webb Space Telescope would see dim signals from small, primitive galaxies.

The post New Research Questions Standard Theory of How Galaxies Formed in Early Universe appeared first on Sci.News: Breaking Science News.

Dis-Ease by Mariam Ghani uses strong visuals and compelling interviews to argue that how we see and describe disease affects how we deal with it, says Simon Ings

When the fever, pains and pus-filled lesions of an mpox infection strike, how dangerous is it and how can it be treated?

Surrounding ourselves with greenery can do wonders for our physical and mental wellbeing. Kathy Willis reveals just what kinds of plants are best for our brains and bodies, and why

Promising new vaccines are designed to be given to patients at risk of developing Alzheimer's disease. If they perform well in clinical trials, they have the potential to one day rid society of dementia

They fight invaders, clear debris and tend neural connections, but sometimes microglia go rogue. Preventing this malfunction may offer new treatments for brain conditions including Alzheimer's

Modern life disrupts the circadian rhythms controlling our biology – increasing our risk of developing conditions ranging from diabetes to dementia. Lynne Peeples's new book The Inner Clock explores and offers solutions

A flurry of studies has found microplastics in nearly every organ in the human body, from the brain to the testicles. But very few have revealed whether these tiny bits of plastic impact our health

Mosquito larvae die after consuming hemp leaves because they react strongly to the cannabidiol in the foliage. The discovery might lead to the development of a new pesticide to control mosquito numbers

Cases of prostate cancer are surging alarmingly around the world. Thankfully, we are developing more accurate tests that can catch the condition early

As more of us take up vaping and concerns rise about the long-term effects, we now have enough data to get a grip on the health impact – and how it compares to smoking

New research into the moments between wakefulness and sleep could bring hope for insomniacs and even make us more creative problem-solvers

A massive undertaking to map cancer tumours is providing new insights into how the disease forms, evolves and develops resistance to treatments

From the benefits of fermented foods to diets that promise a better hormone balance, there is a confusing array of dietary advice out there

From seed oils to olive oil, we now have an overwhelming choice of what to cook with. Here’s how they all stack up, according to the scientific evidence

The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips. So they’re turning to other approaches to chip design, incorporating technologies like AI into the process.

Samsung, for instance, is adding AI to its memory chips to enable processing in memory, thereby saving energy and speeding up machine learning. Speaking of speed, Google’s TPU V4 AI chip has doubled its processing power compared with that of its previous version.

But AI holds still more promise and potential for the semiconductor industry. To better understand how AI is set to revolutionize chip design, we spoke with Heather Gorr, senior product manager for MathWorks’ MATLAB platform.

How is AI currently being used to design the next generation of chips?

Heather Gorr: AI is such an important technology because it’s involved in most parts of the cycle, including the design and manufacturing process. There’s a lot of important applications here, even in the general process engineering where we want to optimize things. I think defect detection is a big one at all phases of the process, especially in manufacturing. But even thinking ahead in the design process, [AI now plays a significant role] when you’re designing the light and the sensors and all the different components. There’s a lot of anomaly detection and fault mitigation that you really want to consider.

Heather GorrMathWorks

Then, thinking about the logistical modeling that you see in any industry, there is always planned downtime that you want to mitigate; but you also end up having unplanned downtime. So, looking back at that historical data of when you’ve had those moments where maybe it took a bit longer than expected to manufacture something, you can take a look at all of that data and use AI to try to identify the proximate cause or to see something that might jump out even in the processing and design phases. We think of AI oftentimes as a predictive tool, or as a robot doing something, but a lot of times you get a lot of insight from the data through AI.

What are the benefits of using AI for chip design?

Gorr: Historically, we’ve seen a lot of physics-based modeling, which is a very intensive process. We want to do a reduced order model, where instead of solving such a computationally expensive and extensive model, we can do something a little cheaper. You could create a surrogate model, so to speak, of that physics-based model, use the data, and then do your parameter sweeps, your optimizations, your Monte Carlo simulations using the surrogate model. That takes a lot less time computationally than solving the physics-based equations directly. So, we’re seeing that benefit in many ways, including the efficiency and economy that are the results of iterating quickly on the experiments and the simulations that will really help in the design.

So it’s like having a digital twin in a sense?

Gorr: Exactly. That’s pretty much what people are doing, where you have the physical system model and the experimental data. Then, in conjunction, you have this other model that you could tweak and tune and try different parameters and experiments that let sweep through all of those different situations and come up with a better design in the end.

So, it’s going to be more efficient and, as you said, cheaper?

Gorr: Yeah, definitely. Especially in the experimentation and design phases, where you’re trying different things. That’s obviously going to yield dramatic cost savings if you’re actually manufacturing and producing [the chips]. You want to simulate, test, experiment as much as possible without making something using the actual process engineering.

We’ve talked about the benefits. How about the drawbacks?

Gorr: The [AI-based experimental models] tend to not be as accurate as physics-based models. Of course, that’s why you do many simulations and parameter sweeps. But that’s also the benefit of having that digital twin, where you can keep that in mind—it’s not going to be as accurate as that precise model that we’ve developed over the years.

Both chip design and manufacturing are system intensive; you have to consider every little part. And that can be really challenging. It’s a case where you might have models to predict something and different parts of it, but you still need to bring it all together.

One of the other things to think about too is that you need the data to build the models. You have to incorporate data from all sorts of different sensors and different sorts of teams, and so that heightens the challenge.

How can engineers use AI to better prepare and extract insights from hardware or sensor data?

Gorr: We always think about using AI to predict something or do some robot task, but you can use AI to come up with patterns and pick out things you might not have noticed before on your own. People will use AI when they have high-frequency data coming from many different sensors, and a lot of times it’s useful to explore the frequency domain and things like data synchronization or resampling. Those can be really challenging if you’re not sure where to start.

One of the things I would say is, use the tools that are available. There’s a vast community of people working on these things, and you can find lots of examples [of applications and techniques] on GitHub or MATLAB Central, where people have shared nice examples, even little apps they’ve created. I think many of us are buried in data and just not sure what to do with it, so definitely take advantage of what’s already out there in the community. You can explore and see what makes sense to you, and bring in that balance of domain knowledge and the insight you get from the tools and AI.

What should engineers and designers consider when using AI for chip design?

Gorr: Think through what problems you’re trying to solve or what insights you might hope to find, and try to be clear about that. Consider all of the different components, and document and test each of those different parts. Consider all of the people involved, and explain and hand off in a way that is sensible for the whole team.

How do you think AI will affect chip designers’ jobs?

Gorr: It’s going to free up a lot of human capital for more advanced tasks. We can use AI to reduce waste, to optimize the materials, to optimize the design, but then you still have that human involved whenever it comes to decision-making. I think it’s a great example of people and technology working hand in hand. It’s also an industry where all people involved—even on the manufacturing floor—need to have some level of understanding of what’s happening, so this is a great industry for advancing AI because of how we test things and how we think about them before we put them on the chip.

How do you envision the future of AI and chip design?

Gorr: It’s very much dependent on that human element—involving people in the process and having that interpretable model. We can do many things with the mathematical minutiae of modeling, but it comes down to how people are using it, how everybody in the process is understanding and applying it. Communication and involvement of people of all skill levels in the process are going to be really important. We’re going to see less of those superprecise predictions and more transparency of information, sharing, and that digital twin—not only using AI but also using our human knowledge and all of the work that many people have done over the years.

Boston Dynamics is the master of dropping amazing robot videos with no warning, and last week, we got a surprise look at the new electric Atlas going “hands on” with a practical factory task.

This video is notable because it’s the first real look we’ve had at the new Atlas doing something useful—or doing anything at all, really, as the introductory video from back in April (the first time we saw the robot) was less than a minute long. And the amount of progress that Boston Dynamics has made is immediately obvious, with the video showing a blend of autonomous perception, full body motion, and manipulation in a practical task.

We sent over some quick questions as soon as we saw the video, and we’ve got some extra detail from Scott Kuindersma, senior director of Robotics Research at Boston Dynamics.

If you haven’t seen this video yet, what kind of robotics person are you, and also here you go:

Atlas is autonomously moving engine covers between supplier containers and a mobile sequencing dolly. The robot receives as input a list of bin locations to move parts between.

Atlas uses a machine learning (ML) vision model to detect and localize the environment fixtures and individual bins [0:36]. The robot uses a specialized grasping policy and continuously estimates the state of manipulated objects to achieve the task.

There are no prescribed or teleoperated movements; all motions are generated autonomously online. The robot is able to detect and react to changes in the environment (e.g., moving fixtures) and action failures (e.g., failure to insert the cover, tripping, environment collisions [1:24]) using a combination of vision, force, and proprioceptive sensors.

Eagle-eyed viewers will have noticed that this task is very similar to what we saw hydraulic Atlas (Atlas classic?) working on just before it retired. We probably don’t need to read too much into the differences between how each robot performs that task, but it’s an interesting comparison to make.

For more details, here’s our Q&A with Kuindersma:

How many takes did this take?

Kuindersma: We ran this sequence a couple times that day, but typically we’re always filming as we continue developing and testing Atlas. Today we’re able to run that engine cover demo with high reliability, and we’re working to expand the scope and duration of tasks like these.

Is this a task that humans currently do?

Kuindersma: Yes.

What kind of world knowledge does Atlas have while doing this task?

Kuindersma: The robot has access to a CAD model of the engine cover that is used for object pose prediction from RGB images. Fixtures are represented more abstractly using a learned keypoint prediction model. The robot builds a map of the workcell at startup which is updated on the fly when changes are detected (e.g., moving fixture).

Does Atlas’s torso have a front or back in a meaningful way when it comes to how it operates?

Kuindersma: Its head/torso/pelvis/legs do have “forward” and “backward” directions, but the robot is able to rotate all of these relative to one another. The robot always knows which way is which, but sometimes the humans watching lose track.

Are the head and torso capable of unlimited rotation?

Kuindersma: Yes, many of Atlas’s joints are continuous.

How long did it take you folks to get used to the way Atlas moves?

Kuindersma: Atlas’s motions still surprise and delight the team.

OSHA recommends against squatting because it can lead to workplace injuries. How does Atlas feel about that?

Kuindersma: As might be evident by some of Atlas’s other motions, the kinds of behaviors that might be injurious for humans might be perfectly fine for robots.

Can you describe exactly what process Atlas goes through at 1:22?

Kuindersma: The engine cover gets caught on the fabric bins and triggers a learned failure detector on the robot. Right now this transitions into a general-purpose recovery controller, which results in a somewhat jarring motion (we will improve this). After recovery, the robot retries the insertion using visual feedback to estimate the state of both the part and fixture.

Were there other costume options you considered before going with the hot dog?

Kuindersma: Yes, but marketing wants to save them for next year.

How many important sensors does the hot dog costume occlude?

Kuindersma: None. The robot is using cameras in the head, proprioceptive sensors, IMU, and force sensors in the wrists and feet. We did have to cut the costume at the top so the head could still spin around.

Why are pickles always causing problems?

Kuindersma: Because pickles are pesky, polarizing pests.

A ”once in a lifetime” comet is expected to light up the night sky as it passes by Earth.

https://maps.google.co.in/url?q=https://yukselenakademi.com/kurs/detay/emlakcilik-belgesi-seviye-5

Researchers show the average surface temperature on our planet has shifted between 51.8 to 96.8 degrees Fahrenheit

Computer scientist and meteorologist Amy McGovern has studied the technology for two decades, and she weighs in with some answers

From Aldebaran to Vega, these gleaming beacons dazzle Northern Hemisphere viewers at various times of the year and provide a useful entry point into amateur astronomy

Researchers suspect the marine mammals may have been communicating across the vast distance

Latex balloons designed to collect high-altitude data can become a threat after they burst

From fish smoothies to oral antibiotics, researchers are taking matters into their own hands in a radical effort to save New Zealand’s yellow-eyed penguins

From the formation of inner ear bones to the rise of hair to cover our bodies, these developments made us distinct from other animals

Kelly Clarkson filled in for Cowell as he recuperates from back surgery.

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The huge four-storey walls of the Lightroom in London are showing ‘Vogue: Inventing the Runway'.

Telegram has established itself as a unique messaging platform with a strong emphasis on privacy, encryption, and an intuitive API. What sets it apart is its ability to support large group chats, with a capacity of up to 200,000 participants, which is far greater than what competitors like WhatsApp and Signal offer. This feature makes […]

The post A Comprehensive Guide on How to Find Telegram Groups to Promote Your Brand appeared first on Chart Attack.

In today’s digital age, your website is more than just a virtual storefront—it’s the heart of your online presence. Whether you’re a small business, a growing startup, or an established brand, a custom-designed website can be the key to standing out in a crowded market. But what does it take to truly transform your digital […]

The post How to Transform Your Online Presence with a Custom Website appeared first on Chart Attack.

Signal decoders are vital components in radio broadcasting. Without them, the transmission and reception of clear audio or data would be impossible. They take what is essentially noise and turn it into coherent, useful information. Having worked with radio broadcasting systems for some time, I’ve seen firsthand how essential decoders are to maintaining communication networks. […]

The post How Signal Decoders Are Used in Radio Broadcasting appeared first on Chart Attack.

Designing a sensory-friendly bedroom for a child with autism is essential in creating a calming and functional environment that caters to their unique sensory needs. Sensory processing challenges are common among children with autism, meaning that their surroundings can either help regulate their emotions or lead to sensory overload. While companies like Interactive 365 provide […]

The post How To Set Up The Perfect Sensory Bedroom For Kids With Autism appeared first on Chart Attack.

Intimacy is about more than just physical connection; it’s about understanding and responding to your partner’s needs, desires, and boundaries. Being in tune with their non-verbal cues is one of the most effective ways to foster a deeper emotional connection, enhancing the pleasure you both feel. This article delves into how you can read your […]

The post How to Read Non-Verbal Cues for Better Intimacy in the Bedroom appeared first on Chart Attack.

Integrating genetic data with historic and archaeological data can enrich or correct popular narratives.

"You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li.

A younger rival may have learned how to sabotage those showers by disrupting water flow.

AI search engine embraces 2024 US election with live tracker and chatbot info hub.

One of the leading contenders to be Donald Trump's Treasury Secretary cut his teeth in the belly of the beast: George Soros's hedge fund.

The post How Scott Bessent Fought The Left While Working in George Soros’s Hedge Fund appeared first on Breitbart.

On Tuesday’s broadcast of MSNBC’s “Morning Joe,” Rep. Ritchie Torres (D-NY) stated that “the Biden administration demonstrated incompetence in managing the migrant crisis,” President Joe Biden “had the unilateral ability to issue an executive order restricting migration at the border, and he waited two-and-a-half years,” because the order “was unpopular among far-left elites who have outsized power over the policymaking and messaging of the Democratic Party.” Torres said, “[O]n the subject of immigration, there was genuine political malpractice. Since 2022, there has been an unprecedented wave of migration, whose impact was felt, not only at the border, but in cities like New York, where the shelter system and our municipal finances were completely overwhelmed. … Despite clear signs of popular discontent, it took the Biden administration two-and-a-half years to issue an executive order restricting migration at the border, and by then it was too late. The Republicans had won the issue, had weaponized it against us. And when the President issued the executive order, polling revealed that it was popular among the American people, among people from every racial category, blacks and whites, Latinos and Asians. So, if it was effective at reducing migration at the border and if it was

The post Dem Rep. Torres: Biden Showed ‘Incompetence’ on Immigration Because He Catered to ‘Far-Left Elites’ appeared first on Breitbart.

The family of the man shot and killed by Hamilton police on Saturday has identified him as Erixon Kabera — a father of three, known for his kindness and dedication to Hamilton's Rwandan community. 

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