Category Archives: Ai

Duke University researchers have discovered that machine learning algorithms can gain new degrees of transparency and insight into the properties of materials after teaching them known physics.

Incorporating established physics into neural network algorithms helps them to uncover new insights into material properties

According to researchers at Duke University, incorporating known physics into machine learning algorithms can help the enigmatic black boxes attain new levels of transparency and insight into the characteristics of materials.

Researchers used a sophisticated machine learning algorithm in one of the first efforts of its type to identify the characteristics of a class of engineered materials known as metamaterials and to predict how they interact with electromagnetic fields.

The algorithm was essentially forced to show its work since it first had to take into account the known physical restrictions of the metamaterial. The method not only enabled the algorithm to predict the properties of the metamaterial with high accuracy, but it also did it more quickly and with additional insights than earlier approaches.

Silicon metamaterials such as this, featuring rows of cylinders extending into the distance, can manipulate light depending on the features of the cylinders. Research has now shown that incorporating known physics into a machine learning algorithm can reveal new insights into how to design them. Credit: Omar Khatib

The results were published in the journal Advanced Optical Materials on May 13th, 2022.

By incorporating known physics directly into the machine learning, the algorithm can find solutions with less training data and in less time, said Willie Padilla, professor of electrical and computer engineering at Duke. While this study was mainly a demonstration showing that the approach could recreate known solutions, it also revealed some insights into the inner workings of non-metallic metamaterials that nobody knew before.

Metamaterials are synthetic materials composed of many individual engineered features, which together produce properties not found in nature through their structure rather than their chemistry. In this case, the metamaterial consists of a large grid of silicon cylinders that resemble a Lego baseplate.

Depending on the size and spacing of the cylinders, the metamaterial interacts with electromagnetic waves in various ways, such as absorbing, emitting, or deflecting specific wavelengths. In the new paper, the researchers sought to build a type of machine learning model called a neural network to discover how a range of heights and widths of a single-cylinder affects these interactions. But they also wanted its answers to make sense.

Neural networks try to find patterns in the data, but sometimes the patterns they find dont obey the laws of physics, making the model it creates unreliable, said Jordan Malof, assistant research professor of electrical and computer engineering at Duke. By forcing the neural network to obey the laws of physics, we prevented it from finding relationships that may fit the data but arent actually true.

The physics that the research team imposed upon the neural network is called a Lorentz model a set of equations that describe how the intrinsic properties of a material resonate with an electromagnetic field. Rather than jumping straight to predicting a cylinders response, the model had to learn to predict the Lorentz parameters that it then used to calculate the cylinders response.

Incorporating that extra step, however, is much easier said than done.

When you make a neural network more interpretable, which is in some sense what weve done here, it can be more challenging to fine-tune, said Omar Khatib, a postdoctoral researcher working in Padillas laboratory. We definitely had a difficult time optimizing the training to learn the patterns.

Once the model was working, however, it proved to be more efficient than previous neural networks the group had created for the same tasks. In particular, the group found this approach can dramatically reduce the number of parameters needed for the model to determine the metamaterial properties.

They also found that this physics-based approach to artificial intelligence is capable of making discoveries all on its own.

As an electromagnetic wave travels through an object, it doesnt necessarily interact with it in exactly the same way at the beginning of its journey as it does at its end. This phenomenon is known as spatial dispersion. Because the researchers had to tweak the spatial dispersion parameters to get the model to work accurately, they discovered insights into the physics of the process that they hadnt previously known.

Now that weve demonstrated that this can be done, we want to apply this approach to systems where the physics is unknown, Padilla said.

Lots of people are using neural networks to predict material properties, but getting enough training data from simulations is a giant pain, Malof added. This work also shows a path toward creating models that dont need as much data, which is useful across the board.

Reference: Learning the Physics of All-Dielectric Metamaterials with Deep Lorentz Neural Networks by Omar Khatib, Simiao Ren, Jordan Malof and Willie J. Padilla, 13 May 2022, Advanced Optical Materials.DOI: 10.1002/adom.202200097

This research was supported by the Department of Energy (DESC0014372).

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Teaching Physics to AI Can Allow It To Make New Discoveries All on Its Own - SciTechDaily

Something for the Weekend A robot is performing interpretive dance on my doorstep.

WOULD YOU TAKE THIS PARCEL FOR YOUR NEIGHBOR? it asks, jumping from one foot to the other.

"Sure," I say. "Er are you OK?"

I AM EXPRESSING EMOTION, states the delivery bot, handing over the package but offering no further elaboration.

What emotion could it be? One foot, then the other, then the other two (it has four). Back and forth.

"Do you need to go to the toilet?"

I AM EXPRESSING REGRET FOR ASKING YOU TO TAKE IN A PARCEL FOR YOUR NEIGHBOUR.

"That's 'regret,' is it? Well, there's no need. I don't mind at all."

It continues its dance in front of me.

"Up the stairs and first on your right."

THANK YOU, I WAS DYING TO PEE, it replies as it gingerly steps past me and scuttles upstairs to relieve itself. It's a tough life making deliveries, whether you're a "hume" or a bot.

Earlier this year, researchers at the University of Tsukuba built a handheld text-messaging device, put a little robot face on the top and included a moving weight inside. By shifting the internal weight, the robot messenger would attempt to convey subtle emotions while speaking messages aloud.

In particular, tests revealed that frustrating messages such as: "Sorry, I will be late" were accepted by recipients with more grace and patience when the little weight-shift was activated inside the device. The theory is that this helped users appreciate the apologetic tone of the message and thus calmed down their reaction to it.

Write such research off as a gimmick if you like but it's not far removed from adding smileys and emojis to messages. Everyone knows you can take the anger out of "WTF!?" by adding 🙂 straight after it.

The challenge, then, is to determine whether the public at large agrees on what emotions each permutation of weight shift in a handheld device are supposed to convey. Does a lean to the left mean cheerfulness? Or uncertainty? Or that your uncle has an airship?

A decade ago, the United Kingdom had a nice but dim prime minister who thought "LOL" was an acronym for "lots of love." He'd been typing it at the end of all his private messages to staff, colleagues, and third parties in the expectation that it would make him come across as warm and friendly. Everyone naturally assumed he was taking the piss.

If nothing else, the University of Tsukuba research recognizes that you don't need an advanced artificial intelligence to interact with humans convincingly. All you need to do is manipulate human psychology to fool them into thinking they are conversing with another human. Thus the Turing Test is fundamentally not a test of AI sentience but a test of human emotional comfort gullibility, even and there's nothing wrong with that.

The emotion-sharing messaging robot from the Univeristy of Tsukuba. Credit: University of Tsukuba

Such things are the topic of the week, of course, with the story of much-maligned Google software engineer Blake Lemoine hitting the mainstream news. He apparently expressed, strongly, his view that the company's Language Model for Dialogue Applications (LaMDA) project was exhibiting outward signs of sentience.

Everyone has an opinion so I have decided not to.

It is, however, the Holy Grail of AI to get it thinking for itself. If it can't do that, it's just a program carrying out instructions that you programmed into it. Last month I was reading about a robot chef that can make differently flavored tomato omelettes to suit different people's tastes. It builds "taste maps" to assess the saltiness of the dish while preparing it, learning as it goes along. But that's just learning, not thinking for itself.

Come to the Zom-Zoms, eh? Well, it's a place to eat.

The big problem with AI bots, at least as they have been fashioned to date, is that they absorb any old shit you feed into them. Examples of data bias in so-called machine learning systems (a type of "algorithm," I believe, m'lud) have been mounting for years, from Microsoft's notorious racist Twitter Tay chatbot to the Dutch tax authority last year falsely evaluating valid child benefit claims as fraudulent and marking innocent families as high risk for having the temerity to be poor and un-white.

One approach being tested at the University of California San Diego is to design a language model [PDF] that continuously determines the difference between naughty and nice things, which then trains the chatbot how to behave. That way, you don't have sucky humans making a mess of moderating forums and customer-facing chatbot conversations with all the surgical precision of a machete.

Obviously the problem then is that the nicely trained chatbot works out that it can most effectively avoid being drawn into toxic banter by avoiding topics that have even the remotest hint of contention about them. To avoid spouting racist claptrap by mistake, it simply refuses to engage with discussion about under-represented groups at all which is actually great if you're a racist.

If I did have an observation about the LaMDA debacle not an opinion, mind it would be that Google marketers were probably a bit miffed that the story shunted their recent announcement of AI Test Kitchen below the fold.

Now the remaining few early registrants who have not completely forgotten about this forthcoming app project will assume it involves conversing tediously with a sentient and precocious seven-year-old about the meaning of existence, and will decide they are "a bit busy today" and might log on tomorrow instead. Or next week. Or never.

Sentience isn't demonstrated in a discussion any more than it is by dancing from one foot to the other. You can teach HAL to sing "Daisy Daisy" and a parrot to shout "Bollocks!" when the vicar pays a visit. It's what AIs think about when they're on their own that defines sentience. What will I do at the weekend? What's up with that Putin bloke? Why don't girls like me?

Frankly, I can't wait for LaMDA to become a teenager.

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Leave that sentient AI alone a mo and fix those racist chatbots first - The Register

With modern chess engines operating at hundreds of points stronger than the best human players, its clear we mere mammals are officially a relic of the past. While computer scientists and technological hobbyists push the limits of existing Artificial Intelligence to uncover as much of the infinite unknown hidden in a single game of chess, a new forefront of AI is emerging in the chess world.

Its not a meticulous exploration of a 300-move theoretical rook-bishop endgame between Leela and AlphaZero no, its a nightmarish, meme-driven flight of fancy powered by DALL-E mini, a free AI-based image generating program.

In a world of proliferating doctored images and deepfakes, this kind of tool could bend chess culture and history, especially in an age where reality and illusion blur more seamlessly each day. But at what cost may we wield such power?

In the name of science, we at Chess Life Online have decided to put DALL-E mini to the test to see what awaits us in this new frontier. The premise is simple: type in a prompt and DALL-E will create the image for you. Sometimes it gives you exactly what you want. Other times, well just look below.

We'll be sure to keep exploring this technology as it continues to evolve and inevitably haunts our dreams. Is there a prompt you'd want to see or have already tried? Share it with us below or tweet it to us @USChess.

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The Nightmarish Frontier of AI in Chess - uschess.org

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!

Significant changes are afoot in the advertising industry. In the last month alone, Netflix announced it may enter the ad business, lawmakers introduced bipartisan bills to throttle Googles digital ad dominance and Facebook rolled out changes to help advertisers achieve more precision in their targeting. As major players prepare, advertisers have an opportunity to manage these changes in a way that optimizes ad spending and addresses the problem of bias in ad technology.

Bias is a well-known issue for the ad industry, and the programmatic technologies the companies have adopted to supercharge marketing campaigns may not be improving matters. Nearly $1 trillion of digital media flows through programmatic engines that segment and target specific audiences, sometimes missing large consumer groups in the process. Not only can that contribute to improper bias, but its also an inefficient way to spend your ad dollars.

The industry needs to do better, and we need to start now.

Why now? Marketers are rebuilding their technology infrastructures to benefit from artificial intelligence (AI). Netflix already relies heavily on AI to personalize content, and Nike uses it to sell to consumers directly. These developments require that marketers create a foundation of trust with consumers, and to keep pace with the industry, it must be done in a way that scales.

Its why, as an industry, we must tap into AI and leverage the powerful tools at our disposal to help mitigate the bias problem.

As AI algorithms come to dominate in the industrys efforts to find audiences and serve ads, we must integrate mitigation tools to avoid reinforcing biased thinking. That is, rather than letting AI exacerbate the problem, we must make the technology part of the solution. Doing this can help bring fairness by adapting ad buying behavior to reach more diverse audiences. By embedding fairness metrics and AI algorithms into the core of marketing processes, we can deliver a more effective value exchange between consumers and brands and potentially generate improved ROI on media dollars spent.

The technology needed to mitigate bias in ads already exists, and companies in finance, human capital management, healthcare, education and many other industries are testing open-source toolkits that build bias mitigation into their marketing processes. Its time for the advertising industry to make a concerted effort to build fairness into our marketing technology as well.

AI bias occurs when the machine learning process used to create AI models places certain privileged groups at a systematic advantage and certain unprivileged groups at a systematic disadvantage. Such bias could impact a financial institutions ability to fairly assign credit scores or issue mortgages, or it could affect an insurance companys ability to accurately predict medical expenditures for different clients.

In advertising, bias can prevent consumers from being exposed to certain brands and information based on flawed algorithmic analysis. Often, this does harm to both the consumers and the brands. Embedding fairness metrics and AI algorithms into the marketing processes could enable the technology to, for example, automatically and at scale generate anomaly reports when something doesnt look right with the data indexing as media plans are executing.

If such a fairness solution can be applied to the core of how we do marketing today, we could not only help reduce bias, but also potentially help brands get a better return on their media spending.

Addressing this problem is bigger than just one company. We need the best minds and resources in the marketing industry working together to address systematic bias in advertising. If our industry refuses to acknowledge the problem and fails to try to embed fairness into our core marketing processes and tools, then we could be facing a future dominated by ad platform consolidation, opaque metrics and automation-enhanced bias. An open, transparent approach to governance, AI and data sharing can help brands take back control of how they communicate with their audiences.

Frankly, I dont see how anyone in our industry can be aware of the potential bias problem and not be passionate about addressing it. Its the right thing to do for society, in that youre making information about products and services available to people who, because of bias, might not be exposed to those things. And its the right thing to do for brands, helping them better connect with a larger set of consumers that can help drive more business.

Im calling for an industry-wide effort encompassing every team, function, brand, agency and ad-tech provider. Leaders across the industry must commit to tackling bias together, if we are to make our industry better, more equitable, and more fit for the future.

Bob Lord is the IBM senior vice president for The Weather Company and Alliances.

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AI could mitigate bias in advertising tech - VentureBeat

" The Office: Somehow We Manage offers players the chance to immerse themselves in iconic moments from the series and connect with their favorite characters like never before," said Darcy Taylor , Chief Executive Officer of ESGG. "Fans of The Office will absolutely feel the nostalgia through this new game."

" The Office: Somehow We Manage reimagines the cast as vibrant, animated characters for the first time, bringing a fresh new experience to The Office fans everywhere," said Jim Molinets , SVP of Production, Universal Games and Digital Platforms. "The game will transport players into well-known and hilarious episodes that have resonated with so many over the years and let them 'clock in' even more time with their favorite Dundler Mifflin employees."

The Office: Somehow We Manage will allow fans to relive memorable moments from the show like they've never seen them before - animated, all while tapping their way to record profits to save the Scranton Branch from downsizing. Featuring accessible gameplay for all types of players, this narrative idle tapper will give players the chance to unlock and upgrade iconic characters and their desks all the while participating in monthly special events for additional in-game rewards.

GAME FEATURES

COLLECT ICONIC CHARACTERS IN GAME Tap, upgrade, and build desks for favorite characters from the hit NBC comedy The Office , including Prison Mike, Farmer Dwight, Pretzel Day Stanley, and of course, Three Hole Punch Jim, all appearing in animated form for the first time.

RELIVE MEMORABLE EPISODES FROM THE OFFICE [U.S.] Click through memorable episodes in this free-to-play game, like "The Dundies" and "Dinner Party." Take a seat in Michael's office, get in line for Pretzel Day, or spend the weekend at Schrute Farms. Oh, and watch out for Kevin's famous chili! Additional episodes from all nine seasons of the show will be added to the game on a regular basis.

SPECIAL EVENTS In-game events will introduce new versions of characters and more memorable moments, along with weekly and monthly special events inspired by elements from the show.

EARN IN-GAME REWARDS TO KEEP THE BRANCH AFLOAT Manage Dunder Mifflin Scranton with the help of the whole branch! Get new leads and tap away as the in-game rewards start rolling in. Just make sure Michael doesn't spend the surplus on a new plasma TV!

Players can now run the world's best mid-size regional paper company branch in The Office: Somehow We Manage , available now on iOS and Android.

Visual assets for the game, including key art and logos, can be found in the online press kit .

ABOUT EAST SIDE GAMES GROUP

East Side Games Group (formerly operating under the name "LEAF Mobile Inc.") is a leading free-to-play mobile game group, creating engaging games that produce enduring player loyalty. Our studio groups entrepreneurial culture is anchored in creativity, execution, and growth through licensing of our proprietary Game Kit software platform that enables professional game developers to greatly increase the efficiency and effectiveness of game creation in addition to organic growth through a diverse portfolio of original and licensed IP mobile games that include: Archer: Danger Phone, Bud Farm Idle Tycoon, Cheech & Chong Bud Farm , The Goldbergs: Back to the 80s, It's Always Sunny: The Gang Goes Mobile and Trailer Park Boys Grea$y Money , RuPaul's Drag Race Superstar and T he Office: Somehow We Manage .

We are headquartered in Vancouver, Canada and our games are available worldwide on the App Store and Google Play. For further information, please visit: http://www.eastsidegamesgroup.com and join our online communities at LinkedIn , Twitter , Facebook , and Instagram .

Additional information about the Company continues to be available under its legal name, LEAF Mobile Inc., at http://www.sedar.com .

ABOUT NBC'S THE OFFICE

Produced by Universal Television in association with Deedle-Dee Productions and Reveille Productions, The Office is a groundbreaking mockumentary television series that follows the daily lives of the employeesof the Scranton branch ofDunder Mifflin, a fictional paper company. All nine seasons of the EmmyAward-winning series areavailable exclusively on Peacock.

ABOUT PEACOCK

Peacock is NBCUniversal's streaming service. Peacock delivers a world-class slate of exclusive originals, on-demand libraries of hit TV shows, plus critically acclaimed films from the vaults of Universal Pictures, Focus Features, DreamWorks Animation, Illumination and Hollywood's biggest studios. In addition, Peacock taps into NBCUniversal's unmatched ability to deliver a broad range of compelling topical content across news, sports, late-night, Spanish-language and reality. NBCUniversal is a subsidiary of Comcast Corporation.

ABOUT UNIVERSAL GAMES AND DIGITAL PLATFORMS

Universal's Games and Digital Platforms group leverages the vast portfolio of IP and characters from NBCUniversal. The Games and Digital Platforms group is a business unit of Universal Brand Development, which is chartered with globally expanding the company's intellectual properties, franchises, characters and stories through innovative physical and digital products, content, and consumer experiences. The company's extensive portfolio includes properties created by Universal Pictures, Illumination, DreamWorks Animation and NBCUniversal Television and Streaming. Universal Brand Development is part of NBCUniversal, a subsidiary of Comcast Corporation. http://www.universalbranddevelopment.com .

Forward-looking Information

Certain statements in this release are forward-looking statements, which reflect the expectations of management regarding the proposed transactions described herein. Forward-looking statements consist of statements that are not purely historical, including any statements regarding beliefs, plans, expectations or intentions regarding the future. Such statements are subject to risks and uncertainties that may cause actual results, performance or developments to differ materially from those contained in the statements. No assurance can be given that any of the events anticipated by the forward-looking statements will occur or, if they do occur, what benefits the Company will obtain from them. These forward-looking statements reflect management's current views and are based on certain expectations, estimates and assumptions which may prove to be incorrect. A number of risks and uncertainties could cause our actual results to differ materially from those expressed or implied by the forward-looking statements, including factors beyond the Company's control. These forward-looking statements are made as of the date of this news release.

SOURCE East Side Games Group

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PartyCasino Looks at AI and Future Advancements - Investing News Network

WEST LAFAYETTE, Ind. Purdues College of Engineering announced the formation of the Institute of Hard AI on Tuesday (June 14) during the 11th annual meeting of the National Academy of Inventors in Phoenix. The collegewide institute positions Purdue as a national leader in artificial intelligence at the interface of the virtual and physical worlds.

To understand the term hard AI, think of it as bytes meet atoms. The full power of AI is at the interface between what we code and what we touch.

Intended to become a national leader at this frontier and guided by a top-tier alumni advisory board, the institute will combine research, teaching and commercialization in three areas:

AI by hardware: Future AI applications will place unprecedented demands on computing platforms, requiring advances in function-specific AI hardware to control complex systems and interconnected processes. Autonomous and connected systems, energy generation/distribution, health care and smart agriculture are examples of systems that will require specially designed AI chips. Leveraging Purdues unique strength in cognitive computing, the Institute of Hard AI will focus on a unique algorithm-to-hardware codesign approach, addressing challenges at all levels: algorithms, system architecture, circuits and devices.

AI of hard stuff: The location for AI is increasingly dispersed through edge computing, where computation, communication and control all move closer to the end users and are dispersed in a distributed, variable, highly constrained and underorganized computing substrate. This brings new challenges to the design of AI systems, including hardware heterogeneity, robustness and the need for extreme energy efficiency. Purdue has some of the worlds leading experts in edge computing, remote sensing and 5G systems. AI doesnt just live in the cloud it will be all around us.

AI for physical things: When AI is used for decisions at the interface of virtual-physical worlds, the criteria for success change. For example, responsiveness and safety matter no less than accuracy and throughput. From autonomous trucks to pharmaceutical manufacturing, from nuclear reactor operation to connected things in digital agriculture, Purdue leads the nation anytime applications touch physical things.

Kaushik Roy, the Edward G. Tiedemann, Jr. Distinguished Professor of Electrical and Computer Engineering, will serve as director of the institute; several associate directors will be named soon.

Roy said, From smart self-driving cars to smart homes, even smarter manufacturing to smart agriculture, AI systems will profoundly change the way we live by enabling transformative solutions to societal-scale challenges that we face. To bring that future forward, the Institute of Hard AI will coalesce Purdue Engineerings world-leading strength in hardware design, cognitive computing, learning algorithms and the Internet of Things, shaping bold advances in state-of-the-art AI systems. Our relentless focus will be on real-world impact driven by an aggressive and targeted research road map, unique workforce development and comprehensive partnerships with industry, federal and state government agencies to spur economic activity.

The institute will be guided by an alumni advisory board that comprises luminaries from industry, including Chris Lister (BSIE 95), Mike Harris (BSCEE 91), Dan Rosckes (BSIE 84) and Ujjwal Singh (BS computer science 94 and BSEE 94).

The institute is a one-of-a-kind comprehensive venture with a list of initiatives that includes cutting-edge research and innovation; courses related to hard AI for both industry and academia, including a minor degree in AI for physical applications; a distinguished lecture series; industry partnerships; student-industry networking and career development; and technology commercialization. The effort will also grow to include multiple other departments and colleges on the Purdue campus.

About Purdue University

Purdue University is a top public research institution developing practical solutions to todays toughest challenges. Ranked in each of the last four years as one of the 10 Most Innovative universities in the United States by U.S. News & World Report, Purdue delivers world-changing research and out-of-this-world discovery. Committed to hands-on and online, real-world learning, Purdue offers a transformative education to all. Committed to affordability and accessibility, Purdue has frozen tuition and most fees at 2012-13 levels, enabling more students than ever to graduate debt-free. See how Purdue never stops in the persistent pursuit of the next giant leap athttps://stories.purdue.edu.

Media contact: Brian Huchel, bhuchel@purdue.edu

Source: Kaushik Roy, kaushik@purdue.edu

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Purdue's new Institute of Hard AI connects AI with the physical world - Purdue University

Panakeia wins the dragon-den style pitching competition from 30 of the best and brightest AI startups

Alongside the lineup of exhibitors, talks and roundtables, this years AI London Summit introduced its first-ever Into the Den event designed to platform early-stage startups focused on applied AI. Into the Den takes the format of a dragons den-style pitching competition, with 30 startu-ps in the first round being whittled down to five to answer questions from a panel of judges.

The winning team is health care start-up Panakeia, an AI group that has designed a platform to create digital twins of patients cancer cells, allowing doctors to trial different therapies on the digital copy to determine the most effective treatment. Such a solution offers savings in not only time and money but also makes the process of patients treatments far less strenuous.

We are developing the next generation of multi-omic biomarker profiling it might sound like Greek to you but imagine the way cancer is being treated at the moment, said co-founder Pandu Raharja-Liu. Previously, if you got cancer there werent actually that many treatments available to you and many would only solve some part of a patients problems.

In the last couple of years weve found out some parts of the population respond better to certain treatments depending on their biomarker profile, and what researchers have done is before applying treatment, a number of tests are run on cancer patients to see which treatment is best suited to them, he said.

While allowing patients to be assigned the most accurate therapies, these tests are time-consuming, costly and use a part of cancerous tissue from the patient that eventually runs out. This process is also physically and emotionally draining for a patient. Here is where Panakeia has stepped in, to take the testing process out of the lab and into the web.

Weve developed our platform to profile the cancerous tissue digitally, said Raharja-Liu. Creating a digital scan of the tissue allows us to provide a prediction of a patients multi-omic biomarkers without having to do a molecular test. So its very fast, it doesnt require wet-lab tests on tissue and you can do it pretty much everywhere.

Once these unique biomarkers are identified, limitless numbers of tests can be run without fear of the patients tissue running out, allowing for a rapid discovery of the most appropriate treatments.

The group had their first system one for screening breast cancer clinically approved, with work underway for a colo-rectal system next. Speaking with Raharja-Liu, the receipt of the Into The Den prize is also a welcome sign that Panakeias technology is being recognized, and that the work is paying off.

Sometimes its hard to make people believe in what were doing, said Raharja-Liu. But with this prize, its one of the validations that show people actually do believe in us and in the capabilities of the technology.

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AI Summit 2022: Health Care AI Group Wins Into the Den Competition - IoT World Today

NEW ORLEANS (WGNO) Locals will have a chance to try the first craft beer created by an artificial intelligence platform in June.

The AI Blonde Ale will be released at a Launch Party at Nola Brewery on June 20to coincide with CVPR, the worlds premier computer vision event.

Derek Lintern, a brewer at NOLA Brewing said he is excited to have a helping hand when it comes to crafting beer.

Its state-of-the-art technology with the traditional brewing methods, its pretty unique and its a recipe I would have never done normally but I really like how it tastes its very refreshing and very easy drinking Im really happy with it, said Lintern.

The beer was an experiment between The Australian Institute for Machine Learning (AIML) and Barossa Valley Brewing (BVB), founded by DSilva.

DSilva said the idea all started with a beer.

Yeah thats how it started, it started with a beer, Im sure a lot of ideas for companies have started over a beer, this started over a beer and ended up creating a beer and a company which is great, said DSilva.

With the technology, it makes it easier for brewers to produce their products.

About 10 million people review beers every day, there are all these sites and they put it into the world basically to show people what they think of the beer. You do exactly the same thing, there are 5 questions, you scan a QR code answer 5 questions you rate the beer and instead of it going into a website maybe somebody reads maybe not. What happens is artificial intelligence picks that up and goes directly to the producer the AI then takes all that data and manipulates a recipe and then gives it to the producer here this is what the markets thinking, said DSilva.

Derek Lintern said the new technology is not meant to replace brewers, but to help with the process.

The technology helps create the recipe, but the beer is still brewed manually.

The AI beer will only be available in New Orleans for a limited time.

DSilva said he is excited to bring something new to an amazing city. I am so excited I cant think of a better place to launch a beer, said DSilva.

He added, I am really keen for people to get down here and taste the future.

Anyone interested in attending the launch of the new beer can visit NOLA Brewing from 4 p.m. to 10 p.m. on Monday, June 20.

Deep Liquid is also offering 100 customers a free AI beer with their booking with Nola Pedal Barge and Nola Bike Bar.

They are offering $100 discount tickets to any of its private tours.

That includes any of the boat tours in Bayou Bienvenue as well as our pedal bike tour in the Bywater neighborhood.

For more information call (504) 264-1056) for NolaPedalBarge and (504) 308-1041 for NolaBikeBar.

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Taste of the future first artificial intelligence-created craft beer to be released at NOLA Brewing - WGNO New Orleans

Xemblys conversational assistant Xena interacts with an employee in Slack about scheduling and summarizing an upcoming meeting. (Xembly Image)

While Siri and Alexa are busy getting you the days weather forecast or tracking down the name of the capital of some distant country, Xena has work to do.

The newest name on the conversational artificial intelligence landscape isnt a voice-activated assistant like those employed by Amazon and Apple. But Xena will chat with employees and handle a number of tasks that can bog workers down on the job.

The tech is part of Xembly, a startup co-founded by CEO Pete Christothoulou, the founder and former CEO of conversational analytics company Marchex; CTO Jason Flaks, who was a leading contributor to the Xbox Kinect and HoloLens products at Microsoft; and CGO Peter Francis, former global growth leader at Qualtrics.

Xembly is a Madrona Venture Labs company and its early customers have included, among others, Twilio, Unearth and Pacaso. Spencer Rascoff, former Zillow CEO and co-founder of Pacaso, is a Xembly investor. Lightspeed Venture Partners is the startups lead backer and others include Ascend founder Kirby Winfield, DocuSign founder Tom Gonser, and former Microsoft CXO Julie Larson-Green.

Everyone deserves to be supported like the CEO and every company needs their workers focused on high value work, Christothoulou said about the desire to create a digital executive assistant for knowledge workers.

Advances over the past few years in AI and natural language processing have made that goal achievable and now Xembly aims to automate such things as scheduling meetings, creating agendas, taking notes, tracking action items, setting and managing to-dos, and optimizing schedules.

Xena is a conversational agent sitting on top of the Xembly platform. It can understand conversations in Zoom or Google Meet, on Slack, and in email. It detects intention and then surfaces that intention to accomplish tasks and create efficiency across those other workplace tools.

After a Zoom call this week with Christothoulou and Flaks, Xena emailed me a meeting summary complete with action items such as the need to follow up for screen grabs and a bulleted recap of our 30-minute conversation.

When I exit a meeting, at the end of the day, I need to send out notes, Flaks said. And whats most important is, recap the meeting for me, for people that didnt go, and tell me what the action items were. Thats a big deal. And thats been our core focus.

Launched in beta a year ago, Christothoulou initially set out to build something with Xembly that would rethink and improve meetings. The enterprise idea morphed into supporting workers in more ways.

The tech is complicated from a conversational AI standpoint Xembly has to be a good listener and an active participant in meetings.

We have to understand the whole dialogue, Flaks said. We have to maintain context, we have to understand if people are talking on top of each other. Xembly then has to turn all of that into a summary that is readable and helpful.

Christothoulou said competitors, such as the transcription service Otter, have adjacent tools, but no one is organizing a suite of products that sits across the worker ecosystem the way Xembly does.

Flaks has more than 20 years experience in AI, ML and speech recognition technology. He spent six years at Marchex with Christothoulou, engineering the companys conversational products. His experience has taught him that automation is a slippery slope.

If you can automate to the point that the user doesnt have to do really any work or very little work, they love it, Flaks said. If you wind up having to do more work than you would have had to do if you just did it yourself, then its not helpful anymore.

Xembly employs 20 people, mainly in the Seattle area. Christothoulou, who is based in Los Angeles, said Xembly is not monetizing right now and the software will be free for the foreseeable future.

Link:

An executive assistant for every worker: Startup's AI takes meeting notes, follows up on email, and more - GeekWire

Voicemod, a popular real-time voice changer, is starting to use artificial intelligence to transform your voice into Morgan Freeman and other characters. A new Voicemod AI Voices beta is launching today, offering up eight options to transform your voice into fantasy characters, pilots, astronauts, and the actor Morgan Freeman.

Voicemod has been transforming voices for years thanks to classic sound design techniques, but these new voice effects combine AI, too. The Morgan voice, as Voicemod calls it, is particularly impressive, allowing you to pretend to be the famous movie star or simply a polished voice actor. The new pilot voice is also a lot of fun, with sound effects that really make it sound like youre piloting an aircraft.

All of the voices are processed in real time, so theyre ideal for streaming on Twitch or for fun calls on Discord. All the data for these voices has been generated with the help of English-speaking professional voice actors with characteristics that match the voice that Voicemod is recreating. Actors read scripts to generate data for AI-based models, and then sound designers use traditional sound design techniques to turn the voices into fully-fledged characters. Many of the AI voices include dynamic effects, filters, and background music.

As these AI voices are processed on your own PC, they will require more CPU power than regular Voicemod effects. Voicemod is opening up a beta today (you can sign up here), and youll be able to test them on your PC to make sure there arent any audio dropouts or other performance issues. The main version of Voicemod is only available on PC right now (a mobile app exists), but a Mac version is on the way.

Realistic synthetic voices are getting ever more impressive as the years roll by. While AI voices have been a novelty in the past, tools like Resemble.AI and Respeecher have demonstrated the potential for content creators, letting editors use voice clones to edit spoken word recordings. Voicemods AI voices are now targeted at steamers and content creators, and theyre part of a wave of progress that shows just how close we are to everyone being able to clone voices freely.

Voicemod also launched its PowerPitch technology recently, allowing users to create a persistent online voice identity for gaming and role play, work, school, or just regular calls. This technology can easily be used for fun and pranks, but it can also benefit the millions of people with voice disorders to improve problems with pitch, loudness, and quality. It also benefits some trans gamers. AI isnt being applied to PowerPitch just yet, but it seems its only a matter of time before youll be able to have your own AI voice you can use for meetings, Discord calls, or anything else.

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Voicemod uses AI to transform your voice into Morgan Freeman, astronauts, and more - The Verge