Category Archives: Artificial Intelligence

(WSPA) Artificial Intelligence is now at your fingertips like never before.

From ChatGPT to Microsofts Bing, to MidJourney or Snapchats new My AI, the number of interactive AI programs is growing.

With that, the average user is starting to understand the endless possibilities of what AI can do.

Still, along with that comes some serious words of warning.

7NEWS looked into how the technology is already being misused and how it could affect everything from safety online to the job market.

Darren Hick, a professor at Furman University has seen firsthand, how the technology comes with some cautionary tales.

We always thought it was just over the horizon, and always just over the horizon, and last year it arrived, and we werent ready for it.

As an Assistant Professor of Philosophy, Hick was one of the first to catch a new type of plagiarism using AI two weeks after ChatGPT was launched to the public when one of his students turned in a final paper.

Normally when a student plagiarizes a paper this is a last-minute panic and so it sort of screams that it has been thrown together in the last second, according to Hick.This wasnt that. This was clean, this was really nicely put together but had all these other factors. And I had heard about ChatGPT, and it finally dawned on me that maybe this was that.

Thats when Hick started testing out ChatGPT.

The open-source program interacts a lot like a confident, well-spoken human.

You can ask it any question like, Describe AI so a 5-year-old can understand, and it spits out appropriate answers like: Its like having a smart robot that can learn and think like a human.

No matter how many times you ask the question, the answer is always slightly different, again, just like a human.

You can even ask it to write in different styles from Shakespeare to poetry.

However, with it still in its infancy, ChatGPT is full of inaccuracies.

When we asked the AI to tell us about Diane Lee from WSPA, it said she is a former journalist who may have left the station.

Kylan Cleveland, with the IT firm Cyber Solutions in Anderson, is quick to point out that right now programs like ChatGPT dont scour the web for information, which is why they are not up to date.

Programs like ChatGPT are only working with what is fed into them and have limited knowledge past 2021, as is stated on ChatGPTs home page.

Cleveland embraces the technology but also is leery of the day these programs gain access to up-to-date information.

When we can get to the point where AI has current data, I think thats when we should really take a step back and see what type of security measures, we can put in place to prevent it from being almost predictive, he said.

AI could also pose a major shakeup to the job market, with some experts who study the technology, like Thomas Fellows, predicting many white-collar jobs from accounting to marketing will be displaced.

If you dont have a job that has true human judgment and vault, it could be taken away, plain and simple, Fellows said.

Fellows has worked in software jobs where the main goal was to automate tasks. He believes AI will be akin to what machines have been to some factory jobs.

The jobs he said are most at risk are:

Still, no matter the warnings, educators and businesses alike said not embracing the many benefits of the technology would be like rejecting the internet in the 90s.

AI is a huge time saver, making tasks that used to take hours last only minutes or even seconds.

If youre scared of something then youre likely more dangerous with it than someone who is educated on it, according to Cleveland.

Fellows added, those who dont embrace the technology, from educators to companies, will lose out on a tool that is changing virtually every industry.

Fortunately, with the development of AI comes AI detectors, which is one way Hick was able to decipher plagiarism.

Despite a warning in his syllabus this Spring semester, the first case wasnt the last.

I went through exactly the same process. My first thought was not oh well this is ChatGPT, my first thought was well thats a weird way to put this, and eventually it clicked, Oh, its AI again.

Two students, two semesters, two Fs for the final grade.

Hick has a warning for all educators, no matter the school, no matter the grade level.

If we dont get used to the way plagiarism looks like now, then more and more of it is going to sneak by.

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Artificial Intelligence: Use and misuse - WSPA 7News

Artificial intelligence, or AI, has been increasingly present in everyday life for decades, but the launch of the conversational robot ChatGPT marked a turning point in its perception AFP/File Camille LAFFONT

An assessment of public attitudes to artificial intelligence (AI) has revealed Utah to be the state most likely to use AI over any other state in the U.S. Oregon and Washington are the second and third states most interested in using AI.

At the other end of the scale, Mississippi is the state least likely to use AI (followed by Louisiana and Alabama).

The research carried out by AI-driven website builder YACSS, who examined Google Keywords data of search terms frequently used by people interested in AI over the past 12 months. These terms were combined to find each states average monthly search volume for AI-related terms per 100,000 people and each states most common uses.

By placing Utah at the top, this was based on 202.9 searches per 100,000 people for AI and AI-related tools.

The full list is:

Although it is in its infancy, artificial intelligence is becoming more common to computer systems. In terms of the main applications, AI is being used for art most commonly across all fifty states, with voice generator being its second most popular use

With the above data, the fourth most AI-interested state is Vermont. Vermont uses AI the most for art, voice generator, music, text-to-video and animation. Searches for AI and AI-related terms average 173.08 per 100,000 people per month. Colorado is the fifth state most interested in AI, with an average of 170.03 searches for AI and AI-powered tools per month per 100,000 people. The state uses AI the most for art, followed by voice generator, music, animation and resume writing.

In a message sent to Digital Journal, YACSS comment: The use of artificial intelligence in the U.S. is on the rise, and its clear to see why. It is frequently used to reduce time spent on tedious tasks as well as provide users with endless creative possibilities, and this is all available at the touch of a button.

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US states most and least likely to use Artificial Intelligence revealed - Digital Journal

BYND Cannasoft Enterprises, Inc.

BYND Cannasoft Subsidiary Zigi Carmel Initiatives & Investments LTD. filed U.S. Provisional Patent Application 63461609 on April 25, 2023 covering the mechanical structure, operation, and controlling aspects of a treatment device monitored by sensors and capable of stimulating the male sexual organs based on user preferences

ASHKELON, Israel and VANCOUVER, British Columbia, April 27, 2023 (GLOBE NEWSWIRE) -- BYND Cannasoft Enterprises Inc. (Nasdaq: BCAN) (CSE: BYND) ("BYND Cannasoft" or the "Company") announced today that its Zigi Carmel Initiatives & Investments LTD. subsidiary filed U.S. Provisional Patent Application 63461609 on April 25, 2023, covering the mechanical structure, operation, and controlling aspects of a male treatment device for external use capable of gathering information and creating custom programs according to the collected data from the sensors and uploading the data to the cloud. This U.S. Provisional Patent Application marks BYND Cannasoft's third potential candidate that could introduce new advanced haptic experiences to the fast-growing sexual wellness and sextech market.

The male treatment device utilizes artificial intelligence and machine learning algorithms to control its operational parameters based on the user's physiological parameters. The user, or a partner, can control the device with a smartphone app. Data collected by the device's sensors can be uploaded to the cloud where it will be stored to remember user preferences to create a custom experience for the user.

BYND Cannasoftannounced on March 8, 2023that its Zigi Carmel Initiatives & Investments LTD. subsidiary filed U.S. Provisional Patent Application number 63450503 covering the mechanical structure, operation, and controlling aspects of its smart female treatment device. OnApril 25, 2023, the company announcedit received a positive opinion from the Patent Cooperation Treaty (PCT) for its A.I.-based Female Treatment Device. The Patent Cooperation Treaty (PCT) assists applicants in seeking patent protection internationally for their inventions and currently has 157 contracting states. BYND Cannasoft intends to file a similar application with the PCT for its male treatment device.

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AnApril 2023 industry reportby Market Research Future projects the Sexual Wellness Market size could grow to $115.92 billion by 2030 from $84.89 billion in 2022. The report cites the growing prevalence of Sexually Transmitted Diseases (STDs), HIV infection, increasing government initiatives, and NGOs promoting contraceptives as the key market drivers dominating the market growth.According to Forbes, the Sextech Market is expected to grow to $52.7 billion by 2026 from its current $30 billion as online sales continue to grow. BYND Cannasoft plans to develop this A.I.-based smart treatment device for men, its A.I.-based smart treatment device for women, and its EZ-G device.

Yftah Ben Yaackov, CEO and Director of BYND Cannasoft, said, "As the multi-billion-dollar sexual wellness and sextech market continues to grow, the industry is undergoing tremendous changes in consumer preferences as devices are increasingly connected online and enabled with interactive content. In this market, A.I., machine learning, and haptic technology have the potential to personalize the operational parameters of sexual wellness devices based on the physiological parameters of the user." Mr. Ben Yaackov continued, "As a corporate lawyer, I recognize the value of licensing our potential A.I. and machine learning patent portfolio to customers in the sexual wellness market and producing innovative new products. The Board of BYND Cannasoft is committed to protecting the company's I.P. covering this potentially lucrative market and bringing this innovative technology to market."

About BYND Cannasoft Enterprises Inc.

BYND Cannasoft Enterprises is an Israeli-based integrated software and cannabis company. BYND Cannasoft owns and markets "Benefit CRM," a proprietary customer relationship management (CRM) software product enabling small and mediumsized businesses to optimize their daytoday business activities such as sales management, personnel management, marketing, call center activities, and asset management. Building on our 20 years of experience in CRM software, BYND Cannasoft is developing an innovative new CRM platform to serve the needs of the medical cannabis industry by making it a more organized, accessible, and price-transparent market. The Cannabis CRM System will include a Job Management (BENEFIT) and a module system (CANNASOFT) for managing farms and greenhouses with varied crops. BYND Cannasoft owns the patent-pending intellectual property for the EZ-G device. This therapeutic device uses proprietary software to regulate the flow of low concentrations of CBD oil, hemp seed oil, and other natural oils into the soft tissues of the female reproductive system to potentially treat a wide variety of women's health issues. The EZ-G device includes technological advancements as a sex toy with a more realistic experience and the prototype utilizes sensors to determine what enhances the users' pleasure. The user can control the device through a Bluetooth app installed on a smartphone or other portable device. The data will be transmitted and received from the device to and from the secure cloud using artificial intelligence (AI). The data is combined with other antonymic user preferences to improve its operation by increasing sexual satisfaction.

For Further Information please refer to information available on the Companys website: http://www.cannasoft-crm.com, the CSEs website: http://www.thecse.com/en/listings/life-sciences/bynd-cannasoft-enterprises-inc and on SEDAR: http://www.sedar.com.

Gabi KabazoChief Financial OfficerTel: (604) 833-6820email: ir@cannasoft-crm.com

For Media and Investor Relations, please contact:

David L. Kugelman(866) 692-6847 Toll Free - U.S. & Canada(404) 281-8556 Mobile and WhatsAppdk@atlcp.comSkype: kugsusa

Cautionary Note Regarding Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 involving risks and uncertainties, which may cause results to differ materially from the statements made. We intend such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. When used in this document, the words "may," "would," "could," "will," "intend," "plan," "anticipate," "believe," "estimate," "expect," "potential," "continue," "strategy," "future," "project," "target," and similar expressions are intended to identify forward-looking statements, though not all forward looking statements use these words or expressions. All statements contained in this press release other than statements of historical fact, including, without limitation, statements regarding our male treatment device, our Cannabis CRM platform, our expanded EZ-G patent application, our market growth, and our objectives for future operations, are forward looking statements. Additional regulatory standards may be required, including FDA approval or any other approval for the purpose of manufacturing, marketing, and selling the devices under therapeutic indications. There is no certainty that the aforementioned approvals will be received, and all the information in this release is forward-looking. Such statements reflect the company's current views with respect to future events and are subject to such risks and uncertainties. Many factors could cause actual results to differ materially from the statements made, including unanticipated regulatory requests and delays, final patents approval, and those factors discussed in filings made by the company with the Canadian securities regulatory authorities, including (without limitation) in the company's management's discussion and analysis for the year ended December 31, 2022 and annual information form dated March 31, 2023, which are available under the company's profile atwww.sedar.com, and in filings made with the U.S. Securities and Exchange Commission. Should one or more of these factors occur, or should assumptions underlying the forward-looking statements prove incorrect, actual results may vary materially from those described herein as intended, planned, anticipated, or expected. We do not intend and do not assume any obligation to update these forwardlooking statements, except as required by law. Any such forward-looking statements represent management's estimates as of the date of this press release. While we may elect to update such forward-looking statements at some point in the future, we disclaim any obligation to do so, even if subsequent events cause our views to change. Shareholders are cautioned not to put undue reliance on such forwardlooking statements.

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U.S. Patent filed by BYND Cannasoft to Expand its Artificial Intelligence and Machine Learning Algorithm to a Male Treatment Device - Yahoo Finance

This article is from The Checkup, MIT Technology Reviews weekly biotech newsletter. To receive it in your inbox every Thursday, sign up here.

Would you trust medical advice generated by artificial intelligence? Its a question Ive been thinking over this week, in view of yet more headlines proclaiming that AI technologies can diagnose a range of diseases. The implication is often that theyre better, faster, and cheaper than medically trained professionals.

Many of these technologies have well-known problems. Theyre trained on limited or biased data, and they often dont work as well for women and people of color as they do for white men. Not only that, but some of the data these systems are trained on are downright wrong.

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Theres another problem. As these technologies begin to infiltrate health-care settings, researchers say were seeing a rise in whats known as AI paternalism. Paternalism in medicine has been problematic since the dawn of the profession. But now, doctors may be inclined to trust AI at the expense of a patients own lived experiences, as well as their own clinical judgment.

AI is already being used in health care. Some hospitals use the technology to help triage patients. Some use it to aid diagnosis, or to develop treatment plans. But the true extent of AI adoption is unclear, says Sandra Wachter, a professor of technology and regulation at the University of Oxford in the UK.

Sometimes we dont actually know what kinds of systems are being used, says Wachter. But we do know that their adoption is likely to increase as the technology improves and as health-care systems look for ways to reduce costs, she says.

Research suggests that doctors may already be putting a lot of faith in these technologies. In a study published a few years ago, oncologists were asked to compare their diagnoses of skin cancer with the conclusions of an AI system. Many of them accepted the AIs results, even when those results contradicted their own clinical opinion.

Theres a very real risk that well come to rely on these technologies to a greater extent than we should. And heres where paternalism could come in.

Paternalism is captured by the idiom the doctor knows best, write Melissa McCradden and Roxanne Kirsch of the Hospital for Sick Children in Ontario, Canada, in a recent scientific journal paper. The idea is that medical training makes a doctor the best person to make a decision for the person being treated, regardless of that persons feelings, beliefs, culture, and anything else that might influence the choices any of us make.

Paternalism can be recapitulated when AI is positioned as the highest form of evidence, replacing the all-knowing doctor with the all-knowing AI, McCradden and Kirsch continue. They say there is a rising trend toward algorithmic paternalism. This would be problematic for a whole host of reasons.

For a start, as mentioned above, AI isnt infallible. These technologies are trained on historical data sets that come with their own flaws. Youre not sending an algorithm to med school and teaching it how to learn about the human body and illnesses, says Wachter.

As a result, AI cannot understand, only predict, write McCradden and Kirsch. An AI could be trained to learn which patterns in skin cell biopsies have been associated with a cancer diagnosis in the past, for example. But the doctors who made those past diagnoses and collected that data might have been more likely to miss cases in people of color.

And identifying past trends wont necessarily tell doctors everything they need to know about how a patients treatment should continue. Today, doctors and patients should collaborate in treatment decisions. Advances in AI use shouldnt diminish patient autonomy.

So how can we prevent that from happening? One potential solution involves designing new technologies that are trained on better data. An algorithm could be trained on information about the beliefs and wishes of various communities, as well as diverse biological data, for instance. Before we can do that, we need to actually go out and collect that dataan expensive endeavor that probably wont appeal to those who are looking to use AI to cut costs, says Wachter.

Designers of these AI systems should carefully consider the needs of the people who will be assessed by them. And they need to bear in mind that technologies that work for some groups wont necessarily work for others, whether thats because of their biology or their beliefs. Humans are not the same everywhere, says Wachter.

The best course of action might be to use these new technologies in the same way we use well-established ones. X-rays and MRIs are used to help inform a diagnosis, alongside other health information. People should be able to choose whether they want a scan, and what they would like to do with their results. We can make use of AI without ceding our autonomy to it.

Philip Nitschke, otherwise known as Dr. Death, is developing an AI that can help people end their own lives. My colleague Will Douglas Heaven explored the messy morality of letting AI make life-and-death decisions in this feature from the mortality issue of our magazine.

In 2020, hundreds of AI tools were developed to aid the diagnosis of covid-19 or predict how severe specific cases would be. None of them worked, as Will reported a couple of years ago.

Will has also covered how AI that works really well in a lab setting can fail in the real world.

My colleague Melissa Heikkil has explored whether AI systems need to come with cigarette-pack-style health warnings in a recent edition of her newsletter, The Algorithm.

Tech companies are keen to describe their AI tools as ethical. Karen Hao put together a list of the top 50 or so words companies can use to show they care without incriminating themselves.

Scientists have used an imaging technique to reveal the long-hidden contents of six sealed ancient Egyptian animal coffins. They found broken bones, a lizard skull, and bits of fabric. (Scientific Reports)

Genetic analyses can suggest targeted treatments for people with colorectal cancerbut people with African ancestry have mutations that are less likely to benefit from these treatments than those with European ancestry. The finding highlights how important it is for researchers to use data from diverse populations. (American Association for Cancer Research)

Sri Lanka is considering exporting 100,000 endemic monkeys to a private company in China. A cabinet spokesperson has said the monkeys are destined for Chinese zoos, but conservationists are worried that the animals will end up in research labs. (Reuters)

Would you want to have electrodes inserted into your brain if they could help treat dementia? Most people who have a known risk of developing the disease seem to be open to the possibility, according to a small study. (Brain Stimulation)

A gene therapy for a devastating disease that affects the muscles of some young boys could be approved following a decision due in the coming weeksdespite not having completed clinical testing. (STAT)

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Artificial intelligence is infiltrating health care. We shouldnt let it make all the decisions. - MIT Technology Review

An impending Supreme Court ruling focusing on whether legal protections given to Big Tech extend to their algorithms and recommendation features could have significant implications for future cases surrounding artificial intelligence, according to experts.

In late February, the Supreme Court heard oral arguments examining the extent of legal immunity given to tech companies that allow third-party users to publish content on their platforms.

One of two cases, Gonzalez v. Google, focuses on recommendations and algorithms used by sites like YouTube, allowing accounts to arrange and promote content to users.

MEET THE 72-YEAR-OLD CONGRESSMAN GOING BACK TO COLLEGE TO LEARN ABOUT AI

Section 230, which allows online platforms significant leeway regarding responsibility for users' speech, has been challenged multiple times in the Supreme Court. (AP Photo/Patrick Semansky, File)

Nohemi Gonzalez, a 23-year-old U.S. citizen studying abroad in France, was killed by ISIS terrorists who fired into a crowded bistro in Paris in 2015. Her family filed suit against Google, arguing that YouTube, which Google owns, aided and abetted the ISIS terrorists by allowing and promoting ISIS material on the platform with algorithms that helped to recruit ISIS radicals.

Marcus Fernandez, an attorney and co-owner of KFB Law, said the outcome of the case could have "far-reaching implications" for tech companies, noting it remains to be seen whether the decision will establish new legal protections for content or if it will open up more avenues for lawsuits against tech companies.

He added that it is important to remember that the ruling could determine the level of protection given to companies and how courts could interpret such protections when it comes to AI-generated content and algorithmic recommendations.

"The decision is likely to be a landmark one, as it will help define what kind of legal liability companies can expect when they use algorithms to target their users with recommendations, as well as what kind of content and recommendations are protected. In addition to this, it will also set precedent for how courts deal with AI-generated content," he said.

According to Section 230 of the Communications Decency Act, tech companies are immune to lawsuits based on content curated or posted by platform users. Much of the discussion from the justices in February waded into whether the posted content was a form of free speech and questioned the extent to which recommendations or algorithms played a role in promoting the content.

AI PAUSE CEDES POWER TO CHINA, HARMS DEVELOPMENT OF DEMOCRATIC AI, EXPERTS WARN SENATE

Artificial Intelligence words are seen in this illustration taken March 31, 2023. REUTERS/Dado Ruvic/Illustration (REUTERS/Dado Ruvic/Illustration)

At one point, the plaintiff's attorney, Eric Schnapper, detailed how YouTube presents thumbnail images and links to various online videos. He argued that while users create the content itself, the thumbnails and links are joint creations of the user and YouTube, thereby exceeding the scope of YouTube's legal protections.

Google attorney Lisa Blatt said the argument was inadmissible because it was not a part of the plaintiff's original complaint filed to the court.

Justice Sonia Sotomayor expressed concern that such a perspective would create a "world of lawsuits." Throughout the proceedings, she remained skeptical that a tech company should be liable for such speech.

Attorney Joshua Lastine, the owner of Lastine Entertainment Law, told Fox News Digital he would be "very surprised" if the justices found some "nexus" between what the algorithms generate and push onto users and other types of online harm, such as somebody telling another person to commit suicide. He said up until that point he does not believe a tech company would face legal repercussions.

Lastine, citing the story of the Hulu drama "The Girl From Plainville," said it is already extremely difficult to establish one-on-one liability and bringing in a third party, like a social media site or tech company, would only increase the difficulty of winning a case.

In 2014, Michelle Carter fell under the national spotlight after it was discovered that she sent text messages to her boyfriend, Conrad Roy III, urging him to kill himself. Though she was charged with involuntary manslaughter and faced up to 20 years in prison, Carter was only sentenced to 15months behind bars.

CLICK HERE TO READ MORE AI COVERAGE FROM FOX NEWS DIGITAL

Google headquarters in Mountain View, California, US, on Monday, Jan. 30, 2023. Alphabet Inc. is expected to release earnings figures on February 2. (Photographer: Marlena Sloss/Bloomberg via Getty Images)

"It was hard enough to find the girl who was sending the text messages liable, let alone the cell phone that was sending those messages," Lastine said. "Once algorithms and computers start telling people to start inflicting harm on other humans, we have bigger problems when machines start doing that."

Ari Lightman, a Distinguished Service Professor at the Carnegie Mellon Heinz College of Information Systems and Policy, told Fox News Digital that a change to Section 230 could open a "Pandora's box" of litigation against tech companies.

"If this opens up the floodgate of lawsuits for people to start suing all of these platforms for harms that have been perpetrated as they perceive toward themthat could really stifle down innovation considerably," he said.

However, Lightman also said the case reaffirmed the importance of consumer protection and noted that if a digital platform can recommend things to users with immunity, they need to design more accurate, usable, and safer products.

Lightman added that what constitutes harm in a particular case against a tech company is very subjective for example, an AI chatbot making someone wait too long or giving erroneous information. According to Lightman, a standard in which lawyers attempt to tie harm to a platform could be "very problematic," leading to a sort of "open season" for lawyers.

"It's going to be litigated and debated for a long period of time," Lightman said.

ALTERNATIVE INVENTOR? BIDEN AMIN OPENS DOOR TO NON-HUMAN, AI PATENT HOLDERS

Lightman noted that AI has many legal issues associated with it, not just liability and erroneous information but also IP issues specific to the content. He said that greater transparency about where the model acquired its data, why it presented such data, and the ability to audit would be an important mechanism for an argument against tech companies' immunity from grievances filed by users unhappy with the AI's output.

Throughout the oral arguments for the case, Schnapper reaffirmed his stance that YouTube's algorithm, which helps to present content to users, is in an of itself a form of speech on the part of YouTube and should therefore be considered separately from content posted by a third party.

Blatt claimed the company was not responsible because all search engines leverage user information to present results. For example, she noted that someone searching for "football" would be provided different results depending on whether they were in the U.S. or somewhere in Europe.

U.S. Deputy Solicitor General Malcolm Stewart compared the conundrum to a hypothetical situation where a bookstore clerk directs a customer to a specific table where a book is located. In this case, Stewart claimed the clerk's suggestion would be speech about the book and would be separate from any speech contained inside the book.

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The justices are expected to rule on the case by the end of June to determine whether YouTube could be sued over its algorithms used to push video recommendations.

Fox News' Brianna Herlihy contributed to this report.

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Landmark Supreme Court case could have 'far reaching implications' for artificial intelligence, experts say - Fox News

Discussions about the benefits and risks associated with artificial intelligence (AI) are everywhere right now, and college campuses are grappling with how to address the rise of chat-based AI software like ChatGPT. At this years Student Showcase, several research projects related to machine learning and AI will be on display. The Student Showcase is a celebration of the creativity, research, innovation, entrepreneurship and artistic performance of Colorado Mesa University and Western Colorado Community College students at both the undergraduate and graduate level. This year will mark the 14th anniversary of the event and there will be 377 sessions, a near record number. Those curious to learn more about how students in the Computer Science Program are working with cutting-edge AI technologies are invited to come learn about their work and ask questions during one of the many sessions focused on AI.

One of these groups, comprised of CMU computer science students Sullivan Frazier, Zackary Mason and Axel Garces, is going under the hood to develop their own machine learning software program as well as experimenting to make the popular ChatGPT chatbot platform more user friendly and approachable. A chatbot is a computer program that simulates human conversation and allows humans to engage with digital devices as if they were speaking with a real person.

Working from the premise that many people find AI intimidating, this group has collaborated to build an interactive web application that allows users to customize the characteristics of the chatbot they interact with. For example, you can choose to have your chatbot assume the characteristics, speech patterns and knowledge of Yoda from Star Wars. In addition to making the chatbot experience more playful and fun, this feature can also allow users to select a chatbot based on their personal language and culture preferences allowing for a chatbot experience that reflects the individual using it.

Through their work the group has grappled with some of the deeper issues that AI presents. Mason explained, machine learning has been around since the 90s, but now we have the computing power to make products that people find useful and its not behind closed doors anymore. ChatGPT isnt creating new things, but it is quickly and accurately sorting through the huge repository of human knowledge that people have put into it, which is something new.

Machine learning has been around since the 90s, but now we have the computing power to make products that people find useful and its not behind closed doors anymore. ChatGPT isnt creating new things, but it is quickly and accurately sorting through the huge repository of human knowledge that people have put into it, which is something new. Zackary Mason

The team is specifically concerned about AI applications in which the programs are forced to make tough decisions where serious tradeoffs have to be considered. They believe that AI is great at collecting and organizing data, but the group argues there still needs to be a human element when the stakes are so high. Sometimes you need an ethical line, you need a moral line, you need a human with a heartbeat making those big decisions, said Frazier. Mason agreed, I dont think AI is going to take all our jobs, but we need to find the balance between humans and technology. The group is excited about the future of computer science, and they are optimistic that humanity will be resilient in the face of the changes and challenges that AI presents.

Frazier is excited to present their research and bring this discussion to the larger CMU community at the Student Showcase. Sometimes it feels like Im a bit cooped up in Confluence Hall in my daily life. I dont talk to a lot of people outside of computer science, and a lot of people dont have a clue as to what were doing and whats going on in here. Going to showcase allows people to come see what youre up to and you get to learn about things happening in totally different fields, said Frazier.

Sometimes it feels like Im a bit cooped up in Confluence Hall in my daily life. I dont talk to a lot of people outside of computer science, and a lot of people dont have a clue as to what were doing and whats going on in here. Going to showcase allows people to come see what youre up to and you get to learn about things happening in totally different fields. Sullivan Frazier

Frazier, Mason and Garces group received guidance and support from their faculty mentor Associate Professor of Computer Science and Co-Director of Cyber Security Center Ram Basnet, PhD. Basnet, along with other CMU computer science faculty, is looking to expand the AI program offerings in coming years and the department currently offers professional certificates in cybersecurity, data science and web application development for students pursuing a degree in computer science.

This years Student Showcase will kick off at 12pm on Friday, Apr. 28 at the Love Recital Hall in the Moss Performing Arts Center. Presentations, performances, demonstrations and exhibits will then take place throughout the day across campus. The day will wrap up with a celebration event at 4:30pm in the University Center Meyer Ballroom.

This event is free and open to the public and more information about this years sessions and parking details are available on the Student Showcase website.

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Student Showcase Preview: Customizing the ChatGPT Artificial ... - CMUnow

NEW DELHI: A newly devised algorithm powered by artificial intelligence can help increase the predictability of the Indian Summer Monsoons (ISMR), 18 months ahead of the season.The algorithm called predictor discovery algorithm (PDA) made using a single ocean-related variable could facilitate skillful forecast of the ISMR in time for making effective agricultural and other economic plans for the country, according to the ministry of science and technology.Scientists at the Institute of Advanced Study in Science and Technology (IASST), Guwahati, an autonomous institute of department of science and technology (DST), along with their collaborators have found that the widely used sea surface temperature (SST) is inadequate for calculation of long-lead prediction of ISMR. This, they found was because the potential skill of ISMR estimated by the predictor discovery algorithm (PDA) using SST-based predictors was low at all the lead months.The team consisting of IASST, Indian Institute of Tropical Meteorology (IITM), Pune, and Cotton University, Guwahati, devised a predictor discovery algorithm (PDA) that generates predictor at any lead month by projecting the ocean thermocline depth (D20) over the entire tropical belt between 1871 and 2010 onto the correlation map between ISMR and D20 over the same period.The new algorithm indicates that the potential skill of ISMR is maximum (0.87, highest being 1.0), 18 months before the ISMR season. At any lead month, the predictability of the annual variability of ISMR depends on the degree of regularities in the annual variability of its drivers.With the newly discovered basis of long-lead ISMR predictability in place, Devabrat Sharma (IASST), Santu Das (IASST), Subodh K. Saha (IITM), and B N Goswami (Cotton University) were able to make 18-month lead forecast of ISMR between 1980 to 2011 with an actual skill of 0.65 using a machine learning-based ISMR prediction model.According to the statement of the ministry, the success of the model was based on the ability of artificial intelligence (AI) to learn the relationship between ISMR and tropical thermocline patterns from 150 years of simulations by 45 physical climate models and transferring that learning to actual observations between 1871 and 1974.As the potential skill of ISMR at 18-month lead is 0.87, there is still considerable scope in improving the model.

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Artificial intelligence helps improve predictability of Indian summer monsoons - Times of India

What is the role of artificial intelligence in the financial services industry?

AI is proving to be a powerful tool for financial institutions looking to improve their operations, manage risks, and optimize their portfolios more effectively.

Artificial intelligence (AI) is playing an increasingly vital role in the financial services industry. Predictive analytics, which can assist financial firms in better understanding and anticipating client demands, preferences and behaviors, is one of the most well-known uses of AI. They can then use this information to create goods and services that are more individually tailored.

Moreover, AI is also being utilized to enhance risk management and fraud detection in the financial services industry. AI systems can swiftly identify unusual patterns and transactions that can point to fraud by evaluating massive amounts of data in real-time. This can assist financial organizations in reducing overall financial risk and preventing fraud-related losses.

In addition, AI is being used for portfolio optimization and financial forecasting. By utilizing machine learning algorithms and predictive analytics, financial institutions can optimize their portfolios and make more accurate investment decisions.

Machine learning, deep learning and NLP are helping financial institutions improve their operations, enhance customer experiences, and make more informed decisions. These technologies are expected to play an increasingly significant role in the finance industry in the coming years.

Financial organizations may make better decisions by using machine learning to examine massive volumes of data and find trends. For instance, machine learning can be used to forecast stock prices, credit risk and loan defaulters, among other things.

Deep learning is a subset of machine learning that utilizes neural networks to model and resolve complicated issues. For instance, deep learning is being used in finance to create models for detecting fraud, pricing securities and managing portfolios.

Natural language processing (NLP) is being used in finance to enable computers to understand human language and respond appropriately. NLP is used in financial chatbots, virtual assistants and sentiment analysis tools. It enables financial institutions to improve customer service, automate customer interactions and develop better products and services.

AI is proving to be a powerful tool for financial institutions looking to improve their fraud detection and risk management processes, enabling them to operate more efficiently and effectively while minimizing potential losses.

Here are the steps explaining how AI helps in fraud detection and risk management in financial services:

Chatbots and virtual assistants are proving to be valuable tools for financial institutions looking to improve the customer experience, reduce costs and operate more efficiently.

Chatbots and virtual assistants are utilized to provide individualized services and assistance, which enhances the client experience. Customers can communicate with these AI-powered tools in real-time and receive details on their accounts, transactions and other financial services. They can also be used to respond to commonly asked inquiries, offer financial counsel and assist clients with challenging problems.

Suppose a bank customer wanted to check their account balance or ask a question about a recent transaction, but the banks customer service center was closed. The customer can make use of the banks chatbot or virtual assistant to receive the information they require in real-time rather than having to wait until the following day to speak with a customer support agent.

The virtual assistant or chatbot can verify the customers identification and give them access to their account balance or transaction details. If the customer has a more complex issue, the chatbot or virtual assistant can escalate it to a human representative for further assistance. This means that AI-powered chatbots and virtual assistants can provide immediate responses to customer inquiries, reducing wait times and improving customer satisfaction.

Because they are accessible round-the-clock, chatbots and virtual assistants are useful resources for clients who require support outside of conventional office hours. Through the automation of repetitive processes and the elimination of the need for human support, they can also assist financial organizations in cutting expenses.

The financial services industry can enjoy several benefits from AI systems, such as automating mundane tasks, improving risk management and swift decision-making. Nevertheless, the drawbacks of AI, such as security risks, potential bias and absence of a human touch, should not be ignored.

Potential advantages of AI in the financial services industry include:

The possible disadvantages of using AI in the financial services industry consist of:

The future of AI in finance is exciting, with the potential to improve efficiency, accuracy and customer experience. However, it will be essential for financial institutions to carefully manage the risks and challenges associated with the use of AI.

The use of AI in financial services has the potential to significantly improve the sector. Several facets of finance have already been transformed by AI, including fraud detection, risk management, portfolio optimization and customer service.

Automating financial decision-making is one area where AI is anticipated to have a large impact in the future. This could involve the examination of massive amounts of financial data using machine learning algorithms, followed by the formulation of investment recommendations. With AI, customized investment portfolios might be constructed for clients depending on their risk appetite and financial objectives.

In addition, AI-powered recommendation engines could also be developed to offer customers targeted products and services that meet their needs. This could improve customer experience and satisfaction while also increasing revenue for financial institutions.

However, there are also potential challenges associated with the use of AI in finance. These include data privacy concerns, regulatory compliance issues, and the potential for bias and discrimination in algorithmic decision-making. It will be important for financial institutions to ensure that AI is used in a responsible and ethical way and that appropriate safeguards, such as transparent algorithms and regular audits, are in place to mitigate these risks.

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How is artificial intelligence revolutionizing financial services? - Cointelegraph

Tech expert Jessica Melugin discusses Twitter CEO Elon Musk's concerns about artificial intelligence and his claims the U.S. government had access to Twitter DMs on 'The Evening Edit.'

Coca-Cola has joined the list of companies integrating the power of artificial intelligence into its services and products.

In a first-quarter earnings release, the soft drink company said it was adopting emerging technologies like AI to "drive new approaches, more experimentation and improved speed to market."

FILE: Coca-Cola bottles sit in a delivery truck in Mexico City, Mexico, on Thursday, Sept. 5, 2013. (Photographer: Susana Gonzalez/Bloomberg via Getty Images / Getty Images)

The company highlighted its collaboration with OpenAI and the consulting firm Bain & Company to experiment with ChatGPT and DALL-E "to enhance marketing capabilities and business operations and to build capabilities through cutting-edge [AI]."

Within a month of this partnership, Coca-Cola launched the "Create Real Magic" platform, which allowed consumers to create original artwork with assets from the companys archives.

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Coca-Cola said it was also experimenting with ways to leverage AI "to improve customer service and ordering as well as point-of-sale material creation in collaboration with its bottling partners."

Amid the rapid rise of AI, companies and employees alike are increasingly using AI-powered tools like ChatGPT for everyday operations.

FILE: Coca-Cola bottles are seen in this illustration photo taken in Krakow, Poland. (Photo Illustration by Jakub Porzycki/NurPhoto via Getty Images / Getty Images)

Coca-Cola competitor PepsiCo has begun incorporating AI into its processes for tracking consumer demand and new product development, helping the company boost sales and bring new products to customers faster.

Per its earnings report, Coca-Cola reported higher-than-expected sales in the first quarter as it continued to hike prices and its business in China improved.

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The company said revenue rose 5% to $11 billion for the January-March period, beating Wall Street's expectations.

FOX Business Breck Dumas and Eric Revell contributed to this report.

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Have AI and a smile: Coca-Cola leveraging artificial intelligence to improve customer service, ordering - Fox Business

AITX's Subsidiary, Robotic Assistance Devices, Releases Exclusive AI-Powered Tracking Feature

Company Expected to File Patent Application on Its Advanced Analytics

Detroit, Michigan, April 27, 2023 - Artificial Intelligence Technology Solutions, Inc., (the "Company") (OTCPK:AITX), a global leader in AI-driven security and productivity solutions along with its wholly owned subsidiary, Robotic Assistance Devices, Inc. (RAD), today released a new AI-based analytic providing enhanced tracking of vehicles and humans.

This unique analytic is being added to the list of provisional patent applications the Company plans on filing in the near future. Analytics refers to the process of identifying, interpreting, and communicating significant or meaningful patterns of collected data.

This new analytic solves two challenges important to end users and security operations centers, specifically the reduction of false positive alarms, and the introduction of advanced functionality that can be used to detect stolen cars, new vehicles and persons entering spaces with existing cars and persons. The Company believes that an analytic with this functionality does not exist in the marketplace, although it may.

The Company noted that this tracking functionality has been successfully tested at several client locations across the US and is now being made available to all subscribed RAD clients. The Company has identified 31 ROSA devices that the analytic will be deployed on in the coming weeks. The addition of this analytic strengthens RAD's value to its end users, increasing retention and exclusivity.

Tracking is part of a suite of internally developed AI analytics which includes human detection, vehicle detection, license plate recognition, and firearm detection. Tracking is included with a subscription to any RAD device, including RAD's top-selling solution ROSA (Responsive Observation Security Agent).

"Although we deploy hardware as a device-as-a-service model, at our core AITX is a software company," said Steve Reinharz, CEO of AITX and RAD. "Surveillance systems have struggled to reduce what are referred to as 'false positives', where slight or typical movement of an object triggers an alert. This is particularly troublesome when observing the movement, or non-movement of vehicles. This new analytic knows when a vehicle is on the move or remaining in place. We have made incredible advancements to reduce the instances of false positives."

"We know that every client is unique and there's no 'one size fits all' approach to how they will utilize our solutions," commented Mark Folmer, CPP, FSyI, President of RAD. "The vehicle tracking analytic is completely customizable by the end-user or authorized remote monitoring service. It's our objective to make deploying RAD solutions a seamless and easy process for our clients and channel partners."

"AITX has made substantial investments in R&D and software development," added Reinharz. "To help protect these investments, we have carefully reviewed the need for patents in each area of research to formulate more effective R&D strategies. We've identified the projects where the Company should file relevant patent applications as necessary to help build a strong global intellectual property portfolio."

The Company expects to provide future announcements regarding the status of the aforementioned patent applications.

ROSA is a multiple award-winning, compact, self-contained, portable, security and communication solution that can be installed and activated in about 15 minutes. Like other RAD solutions, it only requires power as it includes all necessary communications hardware. ROSA's AI-driven security analytics include human, firearm, vehicle detection, license plate recognition, vehicle tracking, responsive digital signage and audio messaging, and complete integration with RAD's software suite notification and autonomous response library. Two-way communication is optimized for cellular, including live video from ROSA's dual high-resolution, full-color, always-on cameras. RAD has published three Case Studies detailing how ROSA has helped eliminate instances of theft, trespassing and loitering at car rental locations and construction sites across the country.

AITX, through its subsidiary, Robotic Assistance Devices, Inc. (RAD), is redefining the $25 billion (US) security and guarding services industry through its broad lineup of innovative, AI-driven Solutions-as-a-Service business model. RAD solutions are specifically designed to provide cost savings to businesses of between 35%-80% when compared to the industry's existing and costly manned security guarding and monitoring model. RAD delivers this tremendous cost savings via a suite of stationary and mobile robotic solutions that complement, and at times, directly replace the need for human personnel in environments better suited for machines. All RAD technologies, AI-based analytics and software platforms are developed in-house.

RAD has a prospective sales pipeline of over 35 Fortune 500 companies and numerous other client opportunities. RAD expects to continue to attract new business as it converts its existing sales opportunities into deployed clients generating a recurring revenue stream. Each Fortune 500 client has the potential of making numerous reorders over time.

CAUTIONARY DISCLOSURE ABOUT FORWARD-LOOKING STATEMENTS

The information contained in this publication does not constitute an offer to sell or solicit an offer to buy securities of Artificial Intelligence Technology Solutions, Inc. (the "Company"). This publication contains forward-looking statements, which are not guarantees of future performance and may involve subjective judgment and analysis. The information provided herein is believed to be accurate and reliable, however the Company makes no representations or warranties, expressed or implied, as to its accuracy or completeness. The Company has no obligation to provide the recipient with additional updated information. No information in this publication should be interpreted as any indication whatsoever of the Company's future revenues, results of operations, or stock price.

About Artificial Intelligence Technology Solutions (AITX)

AITX is an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. Through its next-generation robotic product offerings, AITX's RAD, RAD-M and RAD-G companies help organizations streamline operations, increase ROI, and strengthen business. AITX technology improves the simplicity and economics of patrolling and guard services and allows experienced personnel to focus on more strategic tasks. Customers augment the capabilities of existing staff and gain higher levels of situational awareness, all at drastically reduced cost. AITX solutions are well suited for use in multiple industries such as enterprises, government, transportation, critical infrastructure, education, and healthcare. To learn more, visit http://www.aitx.ai, http://www.stevereinharz.com, http://www.radsecurity.com, http://www.radgroup.ai, and http://www.radlightmyway.com, or follow Steve Reinharz on Twitter @SteveReinharz.

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Steve Reinharz

949-636-7060@SteveReinharz

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Artificial Intelligence Technology : AITX's Subsidiary, Robotic Assistance Devices, Releases Exclusive AI-Powered Tracking Feature Company Expected to...