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Spotlight on Authentic AI: Developers Making Real Contributions Beyond AI Washing Claims

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6 months ago

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USA News Group Commentary
Issued on behalf of Scope AI Corp.

VANCOUVER, BC, June 28, 2024 /PRNewswire/ — With the advent of the artificial intelligence (AI) revolution, so too comes a major shift across multiple industries. In creative industries, AI is leading to new tools, but also job cuts. Billionaire Steve Cohen and his Point72 Ventures recently laid off its fintech team, in a pivot towards AI. Several investment firms are making this shift as well, including Capital Group, UBS, and SoftBank. Even Goldman Sachs has deployed its first Generative AI tool across the firm for code generation to its thousands of developers by the end of the month. However, another new wrinkle has arrived on the scene, with new allegations of what’s being called “AI washing”, where proprietors claim to be using AI, when in fact their transactions require significant human oversight. Working behind the scenes for real contributions to the AI space are several developers, including Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), SoundHound AI, Inc. (NASDAQ: SOUN, SOUNW), Alibaba Group Holding Limited (NYSE: BABA), Meta Platforms, Inc. (NASDAQ: META), and International Business Machines Corporation (IBM) (NYSE: IBM).

As machine learning technology continues to advance, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and shifted its market focus towards key industries such as advertising, gaming, and neural networks, utilizing its sophisticated GEM (General Enterprise Machine Learning) platform.

Scope AI is progressing its GEM platform to assist businesses in creating customized object detection and visual information systems, harnessing the full capabilities of neural networks. These strategic efforts aim to revolutionize advertising personalization, enhance gaming experiences, and expand various applications of neural networks.

In recent developments, Scope AI has launched significant updates to GEM, designed to better support advertising agencies and the gaming industry. These enhancements concentrate on refining advertising content and improving gameplay through advanced neural network functionalities. By the end of May, Scope AI had collaborated with several leading ad agencies and ad networks to identify and address the main challenges in evaluating ad creative effectiveness, page layouts, and the associated testing costs and complexities.

“Our approach is to start with the pain points of our potential users and build solutions based on those insights,” said James Young, CEO of Scope AI Corp. “We believe in understanding the real-world challenges faced by our partners, rather than falling into the common software trap of ‘build it and they will come.’ This collaboration ensures that GEM is not just another tool, but a solution that addresses the specific needs of the advertising community.”

Scope AI is entering the advertising industry at a crucial moment, as global advertising leaders contend with the rapid rise of AI technology. A significant concern is that the prevalent use of AI-generated images could lead to a lack of uniqueness. Scope AI’s GEM technology is designed to address this issue, helping ad executives to better differentiate and execute their campaigns.

GEM’s sophisticated object visual recognition capabilities are designed to offer businesses deeper insights and more accurate solutions. Consequently, advertisers could enhance their ability to analyze consumer behavior and improve their campaigns, while game developers could create more captivating and immersive user experiences.

“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure,” said Sean Prescott, Founder and Non-Executive Chairman of Scope AI. “The next generation of our platform will set us apart in what kind of data and its sensitivity we can process and store. It’s a potential game-changer for the industry.”

Looking to further enhance the drive-through ordering experience for fast food franchises, global leader in voice AI, SoundHound AI, Inc. (NASDAQ: SOUN, SOUNW), recently acquired food-ordering platform Allset to position itself as a full ecosystem for ordering food through cars, TVs, and smart devices. Allset is a food ordering platform, founded in 2015, and designed for local pick-up, providing a seamless, cost-effective dining experience that allows both consumers and restaurants to bypass the high fees charged by delivery apps.

“As a business, Allset will help SoundHound bring voice AI solutions to even more restaurants looking to improve operational efficiency,” said Keyvan Mohajer, CEO and Co-Founder of SoundHound AI. “Together, we plan to provide dynamic and convenient ways for people to order food and complete a range of other transactions just by speaking naturally.”

In an effort to speed up app development on its Alibaba Cloud platform, Alibaba Group Holding Limited (NYSE: BABA) recently introduced its first “AI programmer”, powered by the company’s self-developed large language model (LLM).

“The development paradigm for software applications is changing,” said Xu Dong, general manager of Alibaba Cloud’s Tongyi Qianwen LLM service. “In the future, users only need to identify problems and express requirements, and completing an application development in minutes will become the norm.”

Following up on this, Alibaba recently committed to scaling AI tools for Micro-, Small and Medium-Sized Enterprise (MSME) Day. Emphasizing its commitment to aiding MSMEs, Alibaba.com has announced the deployment of AI tools for its global suppliers. These tools have already been embraced by approximately 30,000 businesses on the platform.

“As a member of the private sector, we are honored to have worked alongside international agencies such as ITC and supported MSMEs worldwide over the past 25 years,” said Kuo Zhang, President of Alibaba.com. “As we promote wider adoption of our AI tools amongst MSMEs, we also hope to expand our global supplier base to cover 100,000 suppliers in the next three years. In a nutshell, we are building a global supply chain by and for MSMEs leveraging AI.”

For Meta Platforms, Inc. (NASDAQ: META), a bold effort to improve its own AI aspirations is garnering plenty of pushback, as its plan to train its AI model on European data derived from Facebook is generating privacy concerns. Meta’s AI training initiatives face challenges due to strict European Union data privacy regulations, which grant individuals control over their personal data usage.

AI language models undergo training on extensive datasets, enabling them to predict the most likely next word in a sentence. Typically, newer versions are more advanced and efficient than their earlier counterparts. Meta has integrated its AI assistant into Facebook, Instagram, and WhatsApp for users in the U.S. and 13 other countries, excluding Europe.

“If we don’t train our models on the public content that Europeans share on our services and others, such as public posts or comments, then models and the AI features they power won’t accurately understand important regional languages, cultures or trending topics on social media,” said Stefano Fratta, global engagement director of Meta’s privacy policy, said in blog post. “We believe that Europeans will be ill-served by AI models that are not informed by Europe’s rich cultural, social and historical contributions.”

According to analysts at Goldman Sachs, International Business Machines Corporation (IBM) (NYSE: IBM) could grow its market share as its AI investments continue to pay off. Among its accomplishments, IBM is considered the leader in the quantum computing segment with its continued advancements in hardware, software, and systems technologies, especially through its watsonx platform.

Recently IBM announced a partnership with WPP to launch a new business-to-business (B2B) solution powered by watsonx designed to reinvent how B2B marketers identify and engage clients and prospects across the buying journey. Dubbed WPP Open for B2B, the platform will help marketers solve complex B2B marketing challenges, accurately identify and engage buying groups, and improve clients’ return on investment (ROI).

“B2B marketers have been focused on creating truly personalized, relevant and consistent experiences for buying groups at scale for years,” said Jonathan Adashek, Senior Vice President of Marketing and Communications at IBM. “We are excited to create and use these new, powerful and trusted AI solutions to deliver a force multiplier for B2B marketing.”

Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/ 

CONTACT:
USA NEWS GROUP
info@usanewsgroup.com
(604) 265-2873

DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Scope AI Corp. advertising and digital media from the company directly. There may be 3rd parties who may have shares Scope AI Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Scope AI Corp. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Scope AI Corp. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

View original content:https://www.prnewswire.co.uk/news-releases/spotlight-on-authentic-ai-developers-making-real-contributions-beyond-ai-washing-claims-302185878.html

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As 2025 IRS Mileage Rate Hits 70 Cents, Expert Warns: Ditch Risky Apps for Secure Paper Tracking

Published

32 minutes ago

on

December 22, 2024

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Gig economy expert Ed Ryder warns against the risks of mileage tracking apps, and advocates using paper-based tracking methods instead. He introduces The Big Mileage Form, a secure alternative developed over two years to meet the specific needs of food delivery gig workers. Ryder highlights recent tech failures, like the July 2024 global IT outage, to underscore the vulnerabilities of digital solutions. The press release also mentions Ryder’s significant mileage deduction using his form and directs readers to GigCoach.net for additional resources, including a consumer tutorial to drive better food delivery outcomes and a gig coach training program.

PHILADELPHIA, Dec. 22, 2024 /PRNewswire-PRWeb/ — As the IRS announces a standard mileage rate of 70 cents per mile for 2025, gig economy expert Ed Ryder, who has completed over 10,000 deliveries with his own car using major food delivery platforms, urges fellow gig workers to reconsider their mileage tracking methods. While acknowledging the convenience of digital solutions, Ryder advocates for a return to secure, paper-based tracking to protect valuable mileage deductions.

With the mileage rate at 70 cents, accurate tracking is crucial for gig workers and small business owners. Mileage apps seem convenient, but they risk data loss from outages, glitches, and cyber attacks. Many overlook these significant dangers.

“With the mileage rate increasing to 70 cents, accurate tracking is more crucial than ever for gig workers and small business owners,” says Ryder, creator of The Big Mileage Form. “While mileage tracking apps seem convenient, they come with significant risks that many overlook. Network outages, app glitches, and cyber attacks can jeopardize months of data.”

Ryder points to the July 2024 global IT outage as a prime example of technology’s vulnerabilities. “A faulty software update caused mass airline disruptions and impacted other industries, catching major corporations off guard. This incident highlights that even in our digital age, software isn’t infallible. For me, I simply won’t trust mileage tracking apps with my most important tax deduction.”

To address these concerns, Ryder developed a comprehensive, paper-based solution. “I spent two years perfecting The Big Mileage Form, tailoring it to the specific needs of food delivery gig workers,” he explains. “At 11×17 inches, it provides ample space for detailed record-keeping and, crucially, it’s immune to software glitches, data breaches, and ransomware attacks.”

Ryder’s meticulous paper-based record-keeping resulted in a mileage deduction exceeding $19,000 on his 2023 federal taxes. “All my business-related miles are thoroughly documented on paper. I’m fully prepared to defend this deduction in case of an audit. This level of confidence is what I aim to provide other gig workers.”

“In today’s digital age, sometimes the most secure solution is the simplest one,” Ryder concludes. “My form not only ensures data security but also prepares users for potential IRS audits. It’s time to reconsider the old-fashioned, but reliable pen-and-paper method.”

For those interested in learning more about effective mileage tracking and other aspects of gig work, Ryder offers valuable resources on GigCoach.net. These include a tutorial for consumers titled ‘Fair Deal Delivery,’ which provides insights on how to improve food delivery outcomes. Additionally, experienced food delivery couriers can explore Ryder’s gig coach training program. Visit GigCoach.net to access these resources and learn more about The Big Mileage Form.

Media Contact

Ed Ryder, Match Experiment LLC, 1 484-493-8740, hello@ideamaned.com, gigcoach.net

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SOURCE Gig economy expert Ed Ryder

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DATA BREACH ALERT: Edelson Lechtzin LLP Is Investigating Claims On Behalf Of Ascension Health Customers Whose Data May Have Been Compromised

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32 minutes ago

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December 22, 2024

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NEWTOWN, Pa., Dec. 22, 2024 /PRNewswire/ — The law firm of Edelson Lechtzin LLP is investigating claims regarding data privacy violations by Ascension Health (“Ascension”). Ascension learned of suspicious activity on or about May 8, 2024. To join this case, go HERE.

About Ascension Health

Ascension is a prominent non-profit health system in the nation and operates under Catholic principles.

What happened?

On or about May 8, 2024, Ascension detected unauthorized activity in its computer systems. Ascension initiated an investigation, which included retaining consulting cybersecurity experts and notifying the FBI. The investigation determined that between May 7 and 8, 2024, a cybercriminal accessed files containing personal information about Ascension’s patients and employees. This information included names, medical records, payment details, insurance information, government identification numbers, and other personal data such as dates of birth and addresses. Approximately 6 million individuals have been affected by this data breach.

How can I protect my personal data?

If you receive a data breach notification, you must guard against possible misuse of your personal information, including identity theft and fraud, by regularly reviewing your account statements and monitoring your credit reports for suspicious or unauthorized activity. Additionally, you should consider legal options for mitigating such risks.

Edelson Lechtzin LLP is investigating a class action lawsuit to seek legal remedies for customers whose sensitive personal and patient data may have been compromised by the Ascension data breach.

For more information, please contact:

Marc H. Edelson, Esq.
EDELSON LECHTZIN LLP
411 S. State Street, Suite N-300
Newtown, PA 18940
Phone: 844-696-7492
Email: medelson@edelson-law.com
Web:  www.edelson-law.com 

About Edelson Lechtzin LLP
Edelson Lechtzin LLP is a national class action law firm with offices in Pennsylvania and California. In addition to cases involving data breaches, our lawyers focus on class and collective litigation in cases alleging securities and investment fraud, violations of the federal antitrust laws, employee benefit plans under ERISA, wage theft and unpaid overtime, consumer fraud, and catastrophic injuries.

This press release may be considered Attorney Advertising in some jurisdictions. No class has been certified in this case, so counsel does not represent you unless you retain one. You may select counsel of your choice. You may also remain an absent class member and do nothing now. Your ability to share in any potential future recovery does not depend on serving as lead plaintiff.

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SOURCE Edelson Lechtzin LLP

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Earth’s pulse monitored: a review highlights remote sensing time series progress

Published

5 hours ago

on

December 22, 2024

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As urbanization accelerates and environmental dynamics shift, the need for accurate and timely terrestrial monitoring has never been more urgent. A review has introduced a novel approach to remote sensing time series analysis, integrating multi-source data to enable near real-time monitoring. This innovative methodology promises to transform environmental conservation and urban planning by providing unprecedented insights into terrestrial changes and offering a more precise understanding of environmental dynamics.

GUANGZHOU, China, Dec. 22, 2024 /PRNewswire-PRWeb/ — An international team of researchers from South China Normal University, the University of Connecticut, and the Chinese Academy of Sciences has made a significant breakthrough in remote sensing. Their review, published (DOI: 10.34133/remotesensing.0285) in the Journal of Remote Sensing on December 11, 2024, addresses key challenges in remote sensing, such as incomplete data and noise interference. The team’s new time series analysis technique leverages advanced data reconstruction and fusion methods, significantly enhancing the precision and efficiency of remote sensing for monitoring environmental changes.

The research team has developed an advanced time series analysis technique that combines deep learning algorithms with traditional remote sensing methods to integrate data from various remote sensing sources. This innovative approach allows for the extraction of subtle patterns from large, complex datasets, which is crucial for monitoring critical environmental parameters such as land use and vegetation health. Unlike conventional techniques that struggle with incomplete or noisy data, this new methodology offers enhanced accuracy and more reliable insights into terrestrial dynamics, paving the way for more effective environmental monitoring.

Central to the study’s success is the integration of Long Short-Term Memory (LSTM) networks and Generative Adversarial Networks (GANs) to address the challenges posed by missing or noisy data. The LSTM networks capture temporal trends over time, while the GANs generate synthetic data that mimics real-world observations to fill gaps and correct for atmospheric distortions. This dual approach has resulted in a cleaner, more accurate time series dataset, which was validated against independent ground truth measurements. The researchers demonstrated significant improvements in key vegetation indices, such as the Normalized Difference Vegetation Index (NDVI), setting a new benchmark in the field of remote sensing.

Experts in the field have lauded the study’s potential to revolutionize remote sensing applications. They see the method as a transformative tool for enhancing high-resolution monitoring and extending its coverage, particularly in agricultural surveillance, urban planning, and environmental management. “This method represents a crucial advancement in our ability to monitor environmental changes,” says Professor Fu. “As it evolves, it could play a key role in addressing climate change and other global challenges.”

The methodology’s future applications are vast, especially in global environmental monitoring and supporting sustainable development goals. By integrating multi-temporal data from Landsat and Sentinel-2 satellites, the team has created a framework for accurate and continuous terrestrial analysis. As computational power advances and algorithms improve, this technology is expected to become a vital tool for natural resource management, disaster response, and climate change mitigation. In the years to come, it could provide critical data to help policymakers address pressing environmental issues on a global scale.

References

DOI

10.34133/remotesensing.0285

Oiginal Source URL

https://doi.org/10.34133/remotesensing.0285

Funding information

This work was supported by the National Nature Science Foundation of China (grant numbers 42425001 and 42071399).

About Journal of Remote Sensing

The Journal of Remote Sensing, an online-only Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.

Media Contact

George Hua, Chuanlink Innovations, 1 8656606278, TranSpread1@gmail.com, http://chuanlink-innovations.com/

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SOURCE Journal of Remote Sensing

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