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Artificial Intelligence

Helm.ai Pioneers Breakthrough “Deep Teaching” of Neural Networks

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MENLO PARK, Calif., June 15, 2020 (GLOBE NEWSWIRE) — Helm.ai, a developer of next-generation AI software, today announced a breakthrough in unsupervised learning technology. This new methodology, called Deep Teaching, enables Helm.ai to train neural networks without human annotation or simulation for the purpose of advancing AI systems. Deep Teaching offers far-reaching implications for the future of computer vision and autonomous driving, as well as industries including aviation, robotics, manufacturing and even retail.
Artificial intelligence, or AI, is commonly understood as the science of simulating human intelligence processed by machines. Supervised learning refers to the process of training neural networks to perform certain tasks using training examples, typically provided by a human annotator or synthetic simulator to machines to perform certain tasks, while unsupervised learning is the process of enabling AI systems to learn from unlabelled information, infer inputs and produce solutions without the assistance of pre-established input and output patterns.Deep Teaching is the next cutting-edge development in AI. It enables Helm.ai to train neural networks in an unsupervised fashion, delivering computer vision capabilities that surpass state-of-the-art performance with unprecedented development speed and accuracy. When applied to autonomous driving Deep Teaching allows Helm.ai to train on vast volumes of data more efficiently without a need for large scale fleets nor armies of human annotators, edging closer to fully self-driving systems.For example, as the first use-case of Helm.ai’s Deep Teaching technology, it trained a neural network to detect lanes on tens of millions of images from thousands of different dashcam videos from across the world without any human annotation or simulation. The resulting neural network is robust out of the box to a slew of corner cases well known to be difficult in the autonomous driving industry, such as rain, fog, glare, faded/missing lane markings and various illumination conditions. As a sanity check, using this neural network, Helm.ai has topped out public computer vision benchmarks with minimal engineering effort.In addition, Helm.ai has built a full stack autonomous vehicle which is able to steer autonomously on steep and curvy mountain roads using only one camera and one GPU (no maps, no Lidar and no GPS), without ever training on data from these roads and, performing well above today’s state of the art production systems. Since then, Helm.ai has applied Deep Teaching throughout the entire AV stack, including semantic segmentation for dozens of object categories, monocular vision depth prediction, pedestrian intent modeling, Lidar-Vision fusion and automation of HD mapping. Deep Teaching is agnostic to the object categories or sensors at hand, being applicable well beyond autonomous driving.Helm.ai has very quickly achieved numerous breakthroughs in autonomous driving technologies, producing systems that offer higher levels of accuracy, agility and safety, and solving corner cases at a small fraction of the cost and time required by traditional deep learning methods.“Traditional AI approaches that rely upon manually annotated data are wholly unsuited to meet the needs of autonomous driving and other safety-critical systems that require human-level computer vision accuracy,” said Helm.ai CEO Vlad Voroninski. “Deep Teaching is a breakthrough in unsupervised learning that enables us to tap into the full power of deep neural networks by training on real sensor data without the burden of human annotation nor simulation.”Helm.ai Video Resources:
●     Helm.ai Intro Video:
       https://youtu.be/9ezWa-uqUcY
●     Page Mill Road In-Cabin Footage:
       https://youtu.be/qPcvWBW_IUY
●     Helm.ai Deep Teaching Clip 1:
       https://youtu.be/nLHoU31DnKg
●     Helm.ai Deep Teaching Clip 2:
       https://youtu.be/rCWcTIVBpSY
A major limitation with existing AV approaches is safety, which poses a very real concern when using traditional AI approaches for autonomous driving,  which are highly capital inefficient and unable to result in robust AI systems that are prepared to interpret every potential scenario with human level accuracy, even on budgets of billions of dollars.Whereas AI systems that don’t physically interact with the world, for instance those designed to inspect products for defects or search the internet, can operate with a success rate of only 90-99% without serious consequences, human lives lie in the balance with self-driving vehicles and any system performing at less than 99.999999% accuracy could be catastrophic. These stringent safety requirements and the limitations of traditional AI approaches prevent the mass deployment of self-driving vehicles. Deep Teaching tackles the core safety issue head on by allowing economical training on huge datasets of images and other sensor data, providing a substantial advancement in the autonomous driving industry.“Helm.ai’s self-driving technologies are uniquely suited to deliver on the potential of autonomous driving,” said Quora CEO Adam D’Angelo. “I look forward to the advances the team will continue to make in the years to come and am excited to have invested in the company.”While Helm.ai is currently applying its technology to the development of its L2+ and L4 autonomous driving software, Deep Teaching offers promising developments for the future of artificial intelligence and computer vision at large. Industries such as aviation, robotics and medical imaging are among just a few areas that Deep Teaching can help revolutionize.About Helm.ai
Helm.ai is building the next generation of AI technology for automation. Founded in November 2016 in Menlo Park, the company has re-envisioned the way neural networks learn to understand the real world to make AI-based applications cost-effective, scalable, and profoundly powerful. For more information on Helm.ai, including its products, SDK and open career opportunities visit www.helm.ai or connect with Helm.ai on LinkedIn.
Media Contact
Please reach out to Vanessa Camones at vanessa@anycontext.com or (510) 999-4383 with any questions or inquiries.
Videos accompanying this announcement are available at:
https://www.globenewswire.com/NewsRoom/AttachmentNg/3ba36f16-3311-4d75-a81e-d5a35fcbee38
https://www.globenewswire.com/NewsRoom/AttachmentNg/b61f963a-0311-480f-88bf-e85200b91166
https://www.globenewswire.com/NewsRoom/AttachmentNg/d572f5a9-6a73-4ed0-a223-5504206ea3ec
https://www.globenewswire.com/NewsRoom/AttachmentNg/6035e74d-3094-4c53-9767-81c277b96df2

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Artificial Intelligence

Worldwide Smart Retail Industry to 2027 – by Solution, Retail Offering, System, Application & Geography

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Dublin, July 08, 2020 (GLOBE NEWSWIRE) — The “Smart Retail – Global Market Outlook (2018-2027)” report has been added to ResearchAndMarkets.com’s offering.SoftwareHardwareRetail Offerings Covered:Hardlines and Leisure GoodsFast-moving Consumer GoodsApparel and AccessoriesSystems Covered:Smart LabelVisual MarketingIntelligent SystemSmart Payment SystemOther SystemsApplications Covered:Brand ProtectionFoot-traffic MonitoringInventory ManagementLoyalty Management and PaymentPredictive Equipment MaintenanceSmart Fitting RoomRegions Covered:USCanadaMexicoEuropeGermanyUKItalyFranceSpainRest of EuropeAsia PacificJapanChinaIndiaAustraliaNew ZealandSouth KoreaRest of Asia PacificSouth AmericaArgentinaBrazilChileRest of South AmericaMiddle East & AfricaSaudi ArabiaUAEQatarSouth AfricaRest of Middle East & AfricaWhat our report offers:Market share assessments for the regional and country-level segmentsStrategic recommendations for the new entrantsCovers Market data for the years 2017, 2018, 2019, 2023 and 2027Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter’s five forces analysis, SWOT analysis, etc.Strategic recommendations in key business segments based on the market estimationsCompetitive landscaping mapping the key common trendsCompany profiling with detailed strategies, financials, and recent developmentsSupply chain trends mapping the latest technological advancementsKey Topics Covered:Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.CONTACT: ResearchAndMarkets.com
Laura Wood, Senior Press Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
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NexTech is Presenting at Wall Street Reporter’s “NEXT SUPER STOCK” Livestream Conference on July 9th, 2020

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NEW YORK and TORONTO, July 08, 2020 (GLOBE NEWSWIRE) — NexTech AR Solutions (NexTech) (OTCQB: NEXCF) (CSE: NTAR) (FSE: N29), an emerging leader in augmented reality for eCommerce, Video Conferencing and Virtual Events, is pleased to announce that NexTech CEO Evan Gappelberg will be presenting at Wall Street Reporter’s “Next Super Stock” livestream conference on July 9th, 2020.
CLICK HERE TO SIGN UPEvan will update investors on NexTech’s latest technological advances, the recent surge in business from its Video Conferencing and Virtual Events platform InfernoAR, plus the company’s record revenue growth, all as the company pursues four multi-billion dollar verticals in AR.NexTech’s live presentation will take place at 12:30PM Eastern, on Thursday July 9th, 2020The 20-minute presentation will be followed by a question and answer session. To learn more about the event, and sign up for free, click:CLICK HERE TO SIGN UPFor those unable to join the live event, a video of the presentation will be posted later.About “Next Super Stock Live!” conference:
Wall Street Reporter’s “NEXT SUPER STOCK Live!” The conference is dedicated to featuring select companies that have near-term catalysts in place which can drive transformational growth (and stock appreciation) in the months ahead.
Recent Company Highlights in 2020:July 2, 2020: Hired Arnaud Amet as Director of Sales for Europe. Mr. Amet situated in Paris, France comes from regional and global sales and marketing roles in Microsoft (MSFT) where he worked for over a decade ending in 2015. He also has significant experience with his own startup in sales and marketing of AR/VR to large brands partnering with Facebook (FB), Huawei and Microsoft.
 
June 29, 2020: signed a contract to supply its InfernoAR video conferencing and virtual events platform to the Dallas Independent School District (Dallas ISD).
 
June 19, 2020: NexTech closed a private placement of 1,528,036 units priced at the market price of $2.10 per unit (the “Units”) for gross proceeds of $3,208,875 (the “Offering”). This financing provides the company with a healthy cash and inventory position of over $7.5million – its highest ever.
 
June 18, 2020: Company announces that it has signed a partner supplier agreement with BDA, LLC. BDA Sports will be using the InfernoAR virtual event platform for their signature annual Think Tank 2020 program for teams in NHL, NBA, MLB, and NFL.
 
June 10, 2020: Company signed a partner agreement and contract to provide its InfernoAR Virtual Events platform services to Skybridge World Dubai clients.  Skybridge is a leading events, exhibition and marketing solutions provider to global corporations whose clients include: Emirates Glass, IBM, Lilly, Henkel, Amgen and many others. NexTech and Skybridge have already solidified their partnership and signed up their first customer, Bohringer Ingelheim.
 
June 4, 2020 The company launched its new ARitize360 app now live and available for a FREE download on both iOS and Android. The app’s 3D scan technology will add to the revenue-generating power of its AR eCommerce solution and its recently launched 3D/AR advertising platform.
 
June 3, 2020: The company achieved record revenue and gross profit for the month of May 2020. Both revenue and gross profit showed dramatic increases in May. Notably, compared to May 2019, the company’s revenue increased 169% to $1,300,000 while gross profit grew 290% to $800,000 representing the highest revenue and gross profit ever achieved in a single month.
 
June 1, 2020 : CEO Evan Gappelberg purchased 100,000 shares. It was reported that on 5/5/2020 he purchased 929,885 common shares of NexTech common stock, this is his fourth buy for the year 2020.
 
May 25, 2020: Signed a contract to supply its Augmented Reality Solutions to a $30 billion market capital, publicly-traded global technology company.
 
May 22, 2020: The company announced very positive results for its recently launched 3D/AR Ad Network which went live on February 4th 2020. Using the company’s 3D/AR ads resulted in a 300% increase in sales conversions, a 32% increase in click-through-rate (CTR) and a 23% lower cost per click than traditional 2D ads.
 
May 21, 2020: InfernoAR Virtual Events platform chosen to supply a $13 billion capital, publicly-traded global insurance company, for their global leadership two day summit starting June 6th.
 
May 19, 2020: Inferno AR integration with Cvent Solutions optimizing the entire InfernoAR event management value chain. Integration with CVENT will broaden the utility and increase the appeal of the platform by helping end-users seamlessly register and become more productive while using the platform.
 
May 14, 2020: Q1 Revenue grows 177% to $2.5 million, Gross Profit grows 267% to $1.3 million, Working Capital of $3.5 million.
 
May 12, 2020: InfernoAR platform integration with all major video platforms including its previously announced integration with Zoom, Microsoft Teams, Skype, and new integrations with Cisco Webex, BlueJeans, Google Hangouts, Google Meet, and GoToMeetings. These critical integrations continue to extend the capabilities of the platform, broaden the utility of the platform and help end-users become even more productive while using the platform.About NexTech AR Solutions Corp.NexTech is one of the leaders in the rapidly growing AR industry, estimated to hit $120 billion by 2022, according to Statista. NexTech, the first publicly traded “pure-play” AR company, began trading on the CSE on October 31st, 2018. NexTech has a two-pronged strategy for rapid growth including growth through acquisition of eCommerce businesses and growth of its omni-channel AR SaaS platform called ARitize™.The company is pursuing four verticals in AR.ARitize™ For eCommerce: The company launched its technologically advanced webAR for eCommerce early in 2019 and has been rapidly signing up customers onto its SaaS platform. Customers include Walther Arms, Wright Brothers, Mr. Steak, and Budweiser. NexTech has the first ​‘full funnel’ end-to-end eCommerce solution for the AR industry including its 3D product capture, 3D ads for Facebook and Google, ‘Try it On’ technology for online apparel, 3D and 360-degree product views, and ‘one click buy’.ARitize™ 3D/AR Advertising Platform: launched in Q1 2020 the ad platform will be the industry’s first end-to-end solution whereby the company will leverage its 3D asset creation into 3D, 360, AR ads. In 2019, according to IDC, global advertising spend will be about $725 billion.InfernoAR: the world’s most advanced Augmented Reality and Video Learning Experience Platform for Events, is a SaaS video platform that integrates Interactive Video, Artificial Intelligence and Augmented Reality in one secure platform to allow enterprises the ability to create the world’s most engaging virtual event management and learning experiences. Automated closed captions and translations to over 64 languages put InfernoAR in a class by itself.ARitize™ Hollywood Studios: expected to launch in 2020, the studio has created a proprietary entertainment venue for which it is producing immersive content using 360 video, and augmented reality as the primary display platform.To learn more, please follow us on Twitter, YouTube, Instagram, LinkedIn, and Facebook, or visit our website: https://www.nextechar.com.On behalf of the Board of NexTech AR Solutions Corp.
Evan Gappelberg
CEO and Director
For further information, please contact:Evan Gappelberg
Chief Executive Officer
info@nextechar.com
The CSE has not reviewed and does not accept responsibility for the adequacy or accuracy of this release.Certain information contained herein may constitute “forward-looking information” under Canadian securities legislation. Generally, forward-looking information can be identified by the use of forward-looking terminology such as, “will be”, “looking forward” or variations of such words and phrases or statements that certain actions, events or results “will” occur. Forward-looking statements regarding the Company increasing investors awareness are based on the Company’s estimates and are subject to known and unknown risks, uncertainties and other factors that may cause the actual results, levels of activity, performance or achievements of NexTech to be materially different from those expressed or implied by such forward-looking statements or forward-looking information, including capital expenditures and other costs.  There can be no assurance that such statements will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking statements and forward-looking information. NexTech will not update any forward-looking statements or forward-looking information that are incorporated by reference herein, except as required by applicable securities laws.

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Causality Link Adds Veteran IBM Natural Language Processing (NLP) Engineer Craig Trim as Senior Software Engineer – NLP

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Salt Lake City, July 08, 2020 (GLOBE NEWSWIRE) — Causality Link, an advanced, artificial intelligence (AI)-driven investment technology provider, today announced the addition of veteran software engineer and natural language processing (NLP) expert Craig Trim as senior software engineer – NLP.Trim joins Causality Link having spent the majority of his 20-year software engineering career with IBM, during which time he contributed to over 200 filed patents. He was most recently a senior managing consultant, leading teams in the inception, creation and deployment of chatbots for top companies in the energy, telecommunications and automotive industries. Joining IBM as an intern in 2000, Trim has since been lead engineer for formal offerings in Watson Group, has led teams developing the auto-generation of knowledge graphs, and has led the design and implementation of large-scale e-commerce sites. In addition to his time at IBM, Trim was chief technology officer for Dristi, a cognitive computing company, where he led research and development to create a first-of-a-kind “Audience OS” and cognitive analytics platform. At Causality Link, Trim will lead efforts to enhance the company’s Research Assistant. This initiative will include increasing the number of data sources ingested, the speed at which the data is processed, the insights garnered from the data and more.“Causality Link is an exciting melding of tried and true technology and cutting-edge innovation that is rare to find and has been instrumental in their success thus far,” said Trim. “I look forward to developing and implementing ways to propel the platform even further to gather more insights from more sources in less time.”“Craig is a true trailblazer in the NLP space,” said Pierre Haren, co-founder and CEO of Causality Link. “During his prolific tenure at IBM, he pioneered the use of NLP in ontology learning to look for relationships between data, which is a critical part of our operation. We are thrilled to bring this inventive thinking to Causality Link as we drive our technology to the next level.”Causality Link’s unique, AI-powered research platform extracts the knowledge contained within millions of documents and other text-based sources to provide investors and analysts with a unique perspective on companies, industries and macroeconomic drivers. By aggregating explicitly stated cause-and-effect relationships between market indicators and company key performance indicators (KPIs), the Causality Link platform provides clients with more significant, longer-lasting, less emotional and more precise insights and forecasts.With the overall aim of improving transparency in financial markets, the Causality Link platform models the forces acting on the markets, leveraging machine learning (ML) and natural language processing (NLP) techniques to weave together the insights and creativity of experts in understanding the causal relationships at work in the financial world. The solution is leading the next wave of AI innovation that leverages technology to combine human knowledge from thousands of authors.About Causality LinkWith its advanced AI-driven research platform, Causality Link helps investment research professionals produce smarter decisions by better understanding the “causal links” between their subjects and various market indicators. Causality Link was formed on the notion that long-term success in AI and Machine Learning requires a balance of human and machine collaboration that leverages the strongest qualities in each. Causality Link’s platform merges explicit expert knowledge of causation – not simply correlation – with the mathematical power of predictive analytics enabling professionals to gain big-picture understanding of the financial markets. Visit www.causalitylink.com to learn more. AttachmentCraig TrimMichael Kingsley
Forefront Communications for Causality Link
212-320-8984
mkingsley@forefrontcomms.com

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