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Researchers develop Superman-inspired imager chip for mobile devices

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Researchers develop Superman-inspired imager chip for mobile devices


Researchers make big strides with Superman-inspired imager chip
Researchers, including electrical engineering graduate student Walter Sosa Portillo BS’21 (left) and Dr. Kenneth K. O, have made advances to miniaturize an imager chip inspired by Superman’s X-ray vision for handheld mobile devices. Credit: University of Texas at Dallas

Researchers from The University of Texas at Dallas and Seoul National University have developed an imager chip inspired by Superman’s X-ray vision that could be used in mobile devices to make it possible to detect objects inside packages or behind walls.

Chip-enabled cellphones might be used to find studs, wooden beams or wiring behind walls, cracks in pipes, or outlines of contents in envelopes and packages. The technology also could have medical applications.

The researchers first demonstrated the imaging technology in a 2022 study. Their latest paper, published in the March print edition of IEEE Transactions on Terahertz Science and Technology, shows how researchers solved one of their biggest challenges: making the technology small enough for handheld mobile devices while improving image quality.

“This technology is like Superman’s X-ray vision. Of course, we use signals at 200 gigahertz to 400 gigahertz instead of X-rays, which can be harmful,” said Dr. Kenneth K. O, director of the Texas Analog Center of Excellence (TxACE) and the Texas Instruments Distinguished University Chair in the Erik Jonsson School of Engineering and Computer Science.

The research was supported by the Texas Instruments (TI) Foundational Technology Research Program on Millimeter Wave and High Frequency Microsystems and the Samsung Global Research Outreach Program.

“It took 15 years of research that improved pixel performance by 100 million times, combined with digital signal processing techniques, to make this imaging demonstration possible. This disruptive technology shows the potential capability of true THz imaging,” said Dr. Brian Ginsburg, director of RF/mmW and high-speed research at TI’s Kilby Labs.

Researchers make big strides with Superman-inspired imager chip
Credit: University of Texas at Dallas

With privacy issues in mind, the researchers designed the technology for use only at close range, about 1 inch from an object. For example, if a thief tried to scan the contents of someone’s bag, the thief would need to be so close that the person would be aware of what they were doing, Dr. O said. The next iteration of the imager chip should be able to capture images up to 5 inches away and make it easier to see smaller objects.

The imager emits 300-GHz signals in the millimeter-wave band of electromagnetic frequencies between microwave and infrared, which the human eye cannot see and is considered safe for humans. A similar technology, using microwaves, is used in large, stationary passenger screeners in airports.

“We designed the chip without lenses or optics so that it could fit into a mobile device. The pixels, which create images by detecting signals reflected from a target object, have the shape of a 0.5-mm square, about the size of a grain of sand,” said Dr. Wooyeol Choi, assistant professor at Seoul National University and the corresponding author of the latest paper.

The advances to miniaturize the imager chip for mobile devices are the result of nearly two decades of research by Dr. O and his team of students, researchers and collaborators through the TxACE at UT Dallas.

A study author and electrical engineering graduate student Walter Sosa Portillo BS’21 came to work in O’s lab as an undergraduate after learning about this imaging research.

“The first day I came to orientation, they talked about Dr. O’s research, and I thought it was really interesting and pretty cool to be able to see through things,” said Portillo, who is researching medical applications for the imager.

More information:
Pranith Reddy Byreddy et al, Array of 296-GHz CMOS Concurrent Transceiver Pixels With Phase and Amplitude Extraction Circuits for Improving Reflection-Mode Imaging Resolution, IEEE Transactions on Terahertz Science and Technology (2024). DOI: 10.1109/TTHZ.2024.3350515

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Researchers develop Superman-inspired imager chip for mobile devices (2024, June 10)
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New graph processing technology demonstrates significant speed advantages over existing solutions

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New graph processing technology demonstrates significant speed advantages over existing solutions


Researchers discuss major advance in graph processing speed with GraphCP
The GraphCP architecture Credit: Yongli Cheng

The need for efficient and fast data processing tools in industries that manage large-scale graph data has led to the development of GraphCP, a technology that dramatically improves processing speeds.

GraphCP not only meets but greatly exceeds the performance of existing graph processing systems:

  • GridGraph: GraphCP is 20.5 times faster, making it significantly more efficient in handling large datasets.
  • GraphZ: GraphCP outperforms by a factor of 8.9 times, offering enhanced speed that could transform data analysis timelines.
  • Seraph and GraphSO: These systems are also outpaced by GraphCP, which is faster by 3.5 times and 1.7 times, respectively.

Such performance improvements position GraphCP as a leading solution for applications that depend on quick and efficient graph data processing.

“GraphCP’s advancements in reducing redundant data accesses and improving I/O bandwidth utilization contribute to the development of our field,” says Yongli Cheng, the corresponding author of the research.

With its enhanced speed, GraphCP is particularly beneficial in fields like social networks, the Internet of Things (IoT), and neural networks. Industries can leverage this technology to process data more rapidly, enabling better decision-making and increased operational efficiency.

GraphCP addresses common bottlenecks in traditional graph processing, such as disk input/output operations, by introducing innovative execution models and updating mechanisms. These advancements help minimize redundant data access and improve the overall system’s efficiency, thereby reducing operational costs.

The research behind GraphCP has been published in Frontiers of Computer Science, showcasing the contributions from various experts in the field. This research is a collaborative work between Nanjing University of Science and Technology, Huazhong University of Science and Technology, University of Texas at Arlington, Fuzhou University, and Huazhong University of Science and Technology.

More information:
Xianghao Xu et al, A disk I/O optimized system for concurrent graph processing jobs, Frontiers of Computer Science (2024). DOI: 10.1007/s11704-023-2361-0

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New graph processing technology demonstrates significant speed advantages over existing solutions (2024, June 17)
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Apple delays rollout of AI features in Europe

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Apple holds talks with rival Meta over AI: Report


Apple
Credit: Armand Valendez from Pexels

Apple on Friday said it would delay the rollout of its recently announced AI features in Europe because of “regulatory uncertainties” linked to the EU’s new landmark legislation to curb the power of big tech.

Citing the European Union’s Digital Markets Act (DMA), a spokesperson for the iPhone-making juggernaut said “we do not believe that we will be able to roll out these features to our EU users this year.”

Apple earlier this month unveiled “Apple Intelligence,” its suite of AI features for its coveted devices as it looks to reassure users that it is not falling behind on the AI frenzy.

The announcement included a partnership with OpenAI that would make ChatGPT available to iPhone users on request.

Apple said the feature, as well as its iPhone Mirroring and SharePlay Screen Sharing enhancements, were put on hold over concern “that the interoperability requirements of the DMA could force us to compromise the integrity of our products in ways that risk user privacy and data security.”

Apple Intelligence, which runs only on the company’s in-house technology, will enable users to create their own emojis based on a description in everyday language, or to generate brief summaries of emails in the mailbox.

“We are committed to collaborating with the European Commission in an attempt to find a solution that would enable us to deliver these features to our EU customers without compromising their safety,” the company added.

In an effort to instill fair competition in Europe, the DMA sets out a list of dos and don’ts for the specially designated internet gatekeepers that include Apple.

“The EU is an attractive market of 450 million potential users, and has always been open for business for any company that wants to provide services in the European internal market,” an EU spokesperson said.

“Gatekeepers are welcome to offer their services in Europe, provided that they comply with our rules aimed at ensuring fair competition,” the EU added.

The EU’s competition supremo Margrethe Vestager on Tuesday warned that Apple was falling short in abiding by the DMA as the bloc carries out a probe over Apple’s business practices.

“We have a number of Apple issues; I find them very serious. I was very surprised that we would have such suspicions of Apple being non-compliant,” Vestager told CNBC.

Her comments came after the Financial Times reported that Apple was about to face charges in relation to the probe, citing people close to the probe.

The DMA empowers the European Commission to investigate, fine and impose structural remedies on non-compliant gatekeepers.

Penalties can reach up to 10 percent of global annual turnover, with repeat offenders facing up to 20 percent.

© 2024 AFP

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Apple delays rollout of AI features in Europe (2024, June 21)
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Study explores ice-based electricity generation

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Study explores ice-based electricity generation


Research on Ice Electricity is Heating Up
Cell construction. Top row from left: (A) Prototype cell from water ice showing the top electrode affixed to a wooden frame. (B) Wooden forms for fabricating the top cells. Forms were sanded and painted (high-gloss, two coats) inside to promote removal. Bottom row from left: (C) Freezing the top cell layers in wooden forms, for subsequent removal and transfer to the bus pans. The top electrodes in their wooden frames are also visible. (D) Middle layer preparation with glass spacers visible. Credit: PLOS ONE (2023). DOI: 10.1371/journal.pone.0285507

Last year, researchers from the US and Canada reported in PLOS ONE creating electrical batteries from ice. The electrical output is modest, just 0.1 milliwatt. But this may be a sign of good things to come. The scientists worked over the course of two seasons to design and produce electrochemical cells that will work to generate electricity.

Dr. Daniel Helman and Dr. Matthew Retallack met at the European Consortium for Political Research in Montreal, Canada in 2015. Helman was presenting ideas about solar panels from ice, and Retallack was the discussant of the session.

“I think there was a mutual respect and love of research,” says Helman. They went on to develop different prototypes. The model that finally won out uses acid to create a difference in pH between two layers of ice plus a few additives.

The most mobile charge carrier in ice is the proton, so it makes sense to think of protons traveling from one layer to the other because of the pH difference. The travel of charged particles is how batteries generate electricity.

In this case, table salt, kaolinite clay and monopotassium phosphate help to donate or receive charged particles, along with muriatic acid (HCl). A mesh screen and sheet aluminum were used as the electrodes.

The materials used in the experiments are all commonly available, and commonly regarded as safe. It makes one wonder what would be possible using more optimized materials. Moreover, photosensitive particles added in can probably produce dye-sensitized solar cells.

The original experiments for dye-sensitized solar cells used chlorophyll taken from spinach to change local pH in response to sunlight. While the electrical output may be small, the point is not lost that large swaths of land at high latitudes might be available.

Fields, lakes or other open land might be safely put to good use in humanity’s quest to transition away from fossil fuels. The additives in this experiment were chosen for their relative safety in the environment.

The generation of electricity from ice also sheds light on one of the more enduring questions facing science right now. Where did life come from? Current thought is that organisms originated either in small ponds near volcanic, geothermal fields, or near mid-ocean ridges. But there is a problem. RNA gets diluted without a membrane, and then cannot act as a catalyst.

An icy setting solves this problem. RNA may remain concentrated in small regions on, for example, the ice of a comet or meteorite. Thus, generation of electricity from ice could provide a proto-metabolism for the start of organismal development with self-catalyzing RNA on such icy meteorites (like the Murchison meteorite) or on an early Snowball Earth.

Both of these ideas are not so far fetched. Solar panels from ice may be useful in some settings. And an icy worlds hypothesis for the origin of life may explain why we don’t see any of the early stages here on Earth now.

Dr. Helman is currently a visiting assistant professor of Environmental Studies at Wofford College in Spartanburg, South Carolina. Dr. Retallack ran the experiments while at Carleton University in Toronto.

More information:
Daniel S. Helman et al, Electrochemical cells from water ice? Preliminary methods and results, PLOS ONE (2023). DOI: 10.1371/journal.pone.0285507

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Wofford College

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Study explores ice-based electricity generation (2024, June 10)
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DeepMind demonstrates Genie, an AI app that can generate playable 2D worlds from a single image

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DeepMind demonstrates Genie, an AI app that can generate playable 2D worlds from a single image


DeepMind demonstrates Genie, an AI app that can generate playable 2D worlds from a single image
Playing from Image Prompts: We can prompt Genie with images generated by text-to-image models, hand-drawn sketches or real-world photos. In each case we show the prompt frame and a second frame after taking one of the latent actions four consecutive times. In each case we see clear character movement, despite some of the images being visually distinct from the dataset. Credit: arXiv (2024). DOI: 10.48550/arxiv.2402.15391

AI researchers at Google’s DeepMind, working with colleagues at the University of British Columbia, have announced the development of Genie, an AI-backed application capable of turning a single image into a playable 2D virtual world.

The team has posted a paper on the arXiv preprint server outlining their work and have also posted an announcement page on DeepMind’s research site.

Two-dimensional video games, such as Super Mario Brothers, allow players to manipulate a character on a video screen as they proceed through a virtual world. In this new effort, the team at DeepMind has automated the process of creating 2D video games by allowing Genie to accept a single image, such as a character in front of an imagined background, and then using it to generate the rest of the game. This was made possible by training it on thousands of hours of video from hundreds of 2D video games.

To create Genie, the team first built an AI application that was able to tokenize video frames into millions of parameters that it could use to build new frames. They then added what they describe as a “latent action model” to make predictions about what a given next scene might look like based on the current image.

Next, they added a module to generate a dynamic model to make guesses about possible next sequences based on what it learned during the training phase. The result is a series of frames linked together to form what looks like a 2D virtual world.







Credit: Google DeepMind

The researchers acknowledge that Genie is still very much a work in progress. It has several limitations not easily seen in the examples provided. It takes a very long time to run, for example—it is approximately 20 to 30 times slower than what the average player would consider normal speed. It also makes a lot of mistakes—it can create unrealistic worlds that are not playable, for example. It is also currently limited in scope—it can only run 16 frames at a time.

Still, the team at DeepMind suggests that Genie demonstrates a new step forward in video game development, allowing users to generate their own games based on their own unique preferences.

More information:
Jake Bruce et al, Genie: Generative Interactive Environments, arXiv (2024). DOI: 10.48550/arxiv.2402.15391

Genie: Generative Interactive Environments: sites.google.com/view/genie-2024/home and
deepmind.google/research/publications/60474/

Journal information:
arXiv


© 2024 Science X Network

Citation:
DeepMind demonstrates Genie, an AI app that can generate playable 2D worlds from a single image (2024, March 6)
retrieved 24 June 2024
from https://techxplore.com/news/2024-03-deepmind-genie-ai-app-generate.html

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