Category Archives: Ai

International organizations and corporations are racing to develop global guidelines for the ethical use of artificial intelligence. Declarations, manifestos, and recommendations are flooding the internet. But these efforts will be futile if they fail to account for the cultural and regional contexts in which AI operates.

AI systems have repeatedly been shown to cause problems that disproportionately affect marginalized groups while benefiting a privileged few. The global AI ethics efforts under way todayof which there are dozensaim to help everyone benefit from this technology, and to prevent it from causing harm. Generally speaking, they do this by creating guidelines and principles for developers, funders, and regulators to follow. They might, for example, recommend routine internal audits or require protections for users personally identifiable information.

We believe these groups are well-intentioned and are doing worthwhile work. The AI community should, indeed, agree on a set of international definitions and concepts for ethical AI. But without more geographic representation, theyll produce a global vision for AI ethics that reflects the perspectives of people in only a few regions of the world, particularly North America and northwestern Europe.

This work is not easy or straightforward. Fairness, privacy, and bias mean different things (pdf) in different places. People also have disparate expectations of these concepts depending on their own political, social, and economic realities. The challenges and risks posed by AI also differ depending on ones locale.

If organizations working on global AI ethics fail to acknowledge this, they risk developing standards that are, at best, meaningless and ineffective across all the worlds regions. At worst, these flawed standards will lead to more AI systems and tools that perpetuate existing biases and are insensitive to local cultures.

In 2018, for example, Facebook was slow to act on misinformation spreading in Myanmar that ultimately led to human rights abuses. An assessment (pdf) paid for by the company found that this oversight was due in part to Facebooks community guidelines and content moderation policies, which failed to address the countrys political and social realities.

Theres a clear lack of regional diversity in many AI advisory boards, expert panels, and councils.

To prevent such abuses, companies working on ethical guidelines for AI-powered systems and tools need to engage users from around the world to help create appropriate standards to govern these systems. They must also be aware of how their policies apply in different contexts.

Despite the risks, theres a clear lack of regional diversity in many AI advisory boards, expert panels, and councils appointed by leading international organizations. The expert advisory group for Unicefs AI for Children project, for example, has no representatives from regions with the highest concentration of children and young adults, including the Middle East, Africa, and Asia.

Unfortunately, as it stands today, the entire field of AI ethics is at grave risk of limiting itself to languages, ideas, theories, and challenges from a handful of regionsprimarily North America, Western Europe, and East Asia.

This lack of regional diversity reflects the current concentration of AI research (pdf): 86% of papers published at AI conferences in 2018 were attributed to authors in East Asia, North America, or Europe. And fewer than 10% of references listed in AI papers published in these regions are to papers from another region. Patents are also highly concentrated: 51% of AI patents published in 2018 were attributed to North America.

Those of us working in AI ethics will do more harm than good if we allow the fields lack of geographic diversity to define our own efforts. If were not careful, we could wind up codifying AIs historic biases into guidelines that warp the technology for generations to come. We must start to prioritize voices from low- and middle-income countries (especially those in the Global South) and those from historically marginalized communities.

Advances in technology have often benefited the West while exacerbating economic inequality, political oppression, and environmental destruction elsewhere. Including non-Western countries in AI ethics is the best way to avoid repeating this pattern.

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AI ethics groups are repeating one of societys classic mistakes - MIT Technology Review

Snowflake, the buzzy cloud computing company, just delivered the biggest software IPO ever by betting on a future in which all businesses increasingly rely on big data and AI to make decisions. Its stock began trading on Sept. 16 at $245 per sharemore than double the $120 price Snowflake set the day earliergiving it an opening valuation of $67.9 billion.

The startups main value proposition is that it makes it easier and cheaper for businesses to analyze data theyve shelved away on the cloudincluding the massive datasets needed to train machine learning algorithms. Because Snowflake structures its software differently, it can run resource-intensive AI programs more efficiently than its competitors, including juggernauts like Amazons AWS and Microsofts Azure.

Snowflake is very important because they can challenge the Amazon AWS power, said Per Roman, managing partner and co-founder of investment firm GP Bullhound. Amazons cloud service controls nearly half the global market, and takes much of the web down with it whenever it experiences disruptions.

Snowflake is only able to take on a dominant, entrenched competitor like AWS because it has come up with a better solution for one problem: allowing companies to cheaply expand their reliance on AI to help them with an ever-growing set of business decisions. That is the vision Wall Street valued at roughly $70 billion today.

AI requires two key ingredients: huge troves of data and a lot of computing power. If you have both, you can monitor the performance of your business in granular detail (and in real time) to predict future conditions. Snowflake can help companies do this kind of analysis more often and at a lower cost: In July, Snowflake handled 507 million requests per day from companies looking to track key data points in real time, according to its IPO filing.

Snowflake differentiates itself from competitors like AWS through its software architecture. The company divides its massive pool of computing power into three groups: One is dedicated to storing data, another is just for analyzing that data, and the third is a brain that keeps the other two running. The system can dedicate more resources to storage or data analysis on the fly, depending on demand.

AWS offers similar services, doesnt separate data storage and analysis, which means clients effectively pay for more analytical computing power they may not use. Snowflake, by comparison, only charges clients for exactly as much storage and computing power as they need. Snowflake also makes it easier for companies to share data with clients and partners, or to buy and sell datasets on an internal marketplace.

Roman said that every company is trending towards a future in which theyll rely on cloud services to store and analyze data. All enterprises, from the largest in the world to your small mom-and-pop shop, need to migrate their computing storage and systems into the cloud, he said. Snowflakes soaring valuation suggests that investors have bought into this bet on ubiquitous AI.

But as businesses are increasingly adopting AI to inform their strategies and automate everything from resume review to ER triage, a string of high-profile scandals has made corporate executives think twice about their use of big data. Shifting public opinion, new government regulations, and the cost of compliance could change companies calculus about AIand send Snowflakes valuation drifting back down to Earth.

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Snowflake's IPO is a bet on companies using AI for everything - Quartz

The Artificial Intelligence Company Leverages Advances in Machine Learning, Computer Vision, and IoT to Create a Single System of Record for the Industry

Dashboard AI, a technology innovator in the foodservice and hospitality industry, announces its vision for a single system of record for the industry. The company leverages advances in machine learning, computer vision, and IoT to reveal insights that improve safety, efficiency, compliance, and training that create a single system of record.

The current fragmented software landscape creates an opportune time to implement a unified platform that is the system of record for critical data around business operations, safety, inventory, staffing, and productivity. saidBrian Pierce, Dashboard AI cofounder and chairman.Our Dashboard AIs stewardship of this data creates aplatform of powerthat can be used in other business software and services categories that need access to this underlying data.

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Harnessing the recent advancements in facial recognition, computer vision, sensors, and IoT, the company is building a suite of products that automate existing operational processes that are typically performed manually.Dashboard AIs machine learning algorithms are built using the companys proprietary data and training libraries designed specifically for foodservice operations.Its machine learning capabilities include first-of-its-kind inventory and usage monitoring algorithms to naturally identify food and beverage brands within the foodservice and hospitality environment, to learn, monitor, track, and measure brand usage. These applications use the companys technology to improve accuracy, efficacy, and efficiency.

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The foodservice sector has been riveted by the global pandemic and we need to leverage technology to rethink how we can optimize our operational processes and build a foundation for the future saidBrian Pierce.At Dashboard AI,weve been working on this opportunity for over a year before the pandemic hit and as a result of its impact on the industry, weve accelerated our efforts to develop and refine our solutions.

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Dashboard AI Announces Its Technology Vision for the Foodservice - AiThority

Working the stock market is a data game. Getting the best information, in a timely way, and knowing how to use it, are keys to success. So, here are some numbers to think about. According to industry market research, artificial intelligence companies and products are on the verge of explosive growth. The sector totaled some $10 billion in 2018; by 2025, the companies, products, value-added, and marketing are expected to reach over $125 billion.

You probably already are on it, even if you didnt realize. AI tech lies behind the growth of digital personal assistants like Alexa and Siri. Most online advertising and pop-ups are powered by AI systems.

All of these systems are going to improve, as engineers and developers fine-tune the coding, create new search apps, and update the underlying hardware. And those technological improvements are going to find their way into stock values. The companies that roll them out, and build on them, are going to get a share of the coming boom.

With this in mind, Wall Street analysts have tapped three lesser-known stocks as primed for gains. Theyre an interesting lot, spread across a variety of sectors, each with their own approach to artificial intelligence.

Opening up theTipRanks database, weve pulled the details on these names, to find out what makes them compelling.

Remark Holdings (MARK)

The first company on our list uses AI to power its network of subsidiaries. Remark Holdings has its hands in many baskets online retail, digital content delivery, facial recognition, and even Chinas somewhat notorious social credit system. The company is headquartered in Las Vegas, with offices in LA, Beijing, Shanghai, and Chengdu.

Remarks platform product, KanKan, is in use across China, especially in retail. The platform delivers insights on customer behavior, so that retailers can fine-tune operations and bring the right items to the sales floor at the right time. Online, KanKan offers market targeting and credit risk analysis in the fintech sector. And in the public safety niche, Remarks KanKan brings behavioral analytics to construction sites, restaurants, and roadways.

Like many emerging tech companies, Remark typically operates at a net loss. However, the scale of that loss has been declining in sequential quarters, even during the corona pandemic. EPS in the first quarter this year was (5 cents), while it improved to (4 cents) in Q2. Both of those results beat the forecast. Revenues have been growing steadily, too, from $260,000 in Q4 last year to $431,000 in Q1 this year, to $2.3 million in Q2, the most recent reported. The companys new bio-safety business, which uses AI to monitor thermal imaging products in casinos, restaurants, hotels, and medical centers and is based in the US brought in $1.1 million of that revenue.

Covering the stock for Roth Capital, 5-star analyst Darren Aftahi strikes an upbeat note in his comments on MARK.

MARK announced it has begun discussions for potential partnerships with larger global enterprise customers for AI software deployments, which could aid scale. Additionally, MARK is continuing to see healthy demand from new customers for thermal-based offerings, while current customers have also expressed interest in additional AI features, which we believe suggests MARKs solution has staying power with customers.

In line with this outlook, Aftahi rates MARK a Buy along with a $4.25 price target. This figure suggests that MARK shares have a stellar 425% upside potential from their current price of $1. (To watch Aftahis track record, click here)

Story continues

WISeKey International Holdings (WKEY)

Next on our list is WISeKey, a company in the cybersecurity industry. WKEY develops codes, crypto-algorithms, and chips necessary to the functioning of online digital security. The company does not confine itself to a single pathway; it creates secure digital identification ecosystems using AI, as well as blockchain and IoT systems. WKEYs customers include marketers, who are looking for brand protection, and financial institutions seeking secure digital systems.

Among WISeKeys key products are semiconductor chips used in secure microcontrollers and smart card readers. These chips enable AI platforms to speed up transactions while improving safety and privacy. The company is also heavily involved in online brand and digital identity protection. WKEYs AI enabled coding and algorithms power recognition software that improves security for customers needing signature or facial authentication.

WISeKey finished 1H20 with $8 million in revenues and $16 million in cash reserves, putting the company in a solid position to weather the COVID-19 pandemic.

Covering this stock for H.C. Wainwright, analyst Kevin Dede writes, "In our view, WISeKey represents an asymmetrical risk-reward opportunity heightened by what has proven to be a surprising ability to deliver a constant stream of new technology and solutions with realworld applicability, and perhaps most importantly, accordant customer relationships.

Dedes comments are optimistic, as is his Buy rating and $9 price target. This target implies implies 31% upside to the stock for the coming year. (To watch Dedes track record, click here)

Five9 (FIVN)

The last stock on todays list, Five9, is a cloud computing firm offering a scalable contact center platform based on intelligent cloud technology. With the corona virus pandemic having further pushed the ever-growing trend towards moving routine business online, Five9s services have become more important to its customers and more marketable.

The company has seen slow, steady revenue growth, which reached $99.8 million in Q2, and EPS that consistently beats the forecasts. While the company posted net losses in both Q1 and Q2, earnings in those quarters beat the estimates by 33% and 50% respectively.

Five9 uses AI tech to create a better customer contact platform. The companys products on mobile, web, chat, email, or social media streamline the agent-customer engagement, making inbound and outbound contacts more efficient for the contact center. One agent can handle each of the channels from a single desktop AI interface. The promise and more importantly, delivery of better online customer service is a gold mine in todays environment, and supports the quarterly results.

From Canaccord Genuity, 5-star analyst David Hynes sees Five9 as top-tier when it comes to technology and products.

One of several important differentiators for Five9 is the firms open platform and the best-of-breed choices that it avails to customers. In a continuation of that philosophy, Five9 has announced the availability of Voicestream, an API for streaming agent/caller audio to third-party applications in real-time. This API enables real-time, cloud-to-cloud media streaming so that developers and partners who are focused on AI and other innovative areas can integrate their applications directly into Five9s platform, Hynes opined.

Accordingly, Hynes gives FIVN shares a Buy rating, and his $145 price target suggests the stock has a 23% upside potential for the coming 12 months. (To watch Hynes track record, click here)

To find good ideas for AI stocks trading at attractive valuations, visit TipRanks Best Stocks to Buy, a newly launched tool that unites all of TipRanks equity insights.

Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

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3 Artificial intelligence Stocks to Consider as the Trend Heats Up - Yahoo Finance

Diffbot is obsessed with knowledge. The Palo Alto-based knowledge-as-a-service company is on a quest to build the first comprehensive map of all human knowledge, according to its founder and CEO Mike Tung and its doing that using a medley of machine learning methods to automatically crawl, index, and correlate the content of the internet. Now, Diffbot is announcing the launch of the latest weapon in its gnostic arsenal: a new natural language processing (NLP) API that is fully integrated into Diffbots multilingual knowledge graph.

To showcase the newly available deep learning system, Diffbot turned to two sets of famous texts: the Bible and A Song of Ice and Fire, the series that served as the basis for the hit show Game of Thrones. While those works may seem worlds apart, they share a common trait of great interest to Diffbot: complex genealogies. The winding and weaving family webs of both the Bible and the fantasy world of Westeros pose a challenge to even astute readers and so, they posed the perfect challenge for Diffbots NLP API.

Diffbots API, which uses its vast knowledge of the web to analyze free text, chewed on the two massive documents, spitting out full (and accurate) genealogies for all traceable figures mentioned in both. For A Song of Ice and Fire, Diffbot even produced an infographic mapping out the complex familial ties in the series and highlighting some of the impressive statistics: 3,663 characters detected, 855 parent-child relationships, 700 sibling relationships, 322 spousal relationships and 15 minutes of NLP to do all of it.

An infographic displaying stylized results from Diffbots NLP analysis of A Song of Ice and Fire. Image courtesy of Diffbot.

With this new breakthrough, Diffbot continues to push the boundaries in achieving its vision in building an ImageNet for human language and realizing a Semantic Web that will transform the business world, Tung said. We have been testing its capabilities in beta and the results have been extremely promising in illustrating the true impact it will have on the professional world, especially in the fields of science, history, education, and religion.

Diffbot provides its knowledge graph for free to researchers, but the company says it has around 400 paying customers, as well including some big names like Adobe, Cisco, eBay, Salesforce, and Samsung.

I believe we are creating a system that will serve as a dedicated enterprise search engine, Tung continued. The real Semantic Web unbound by the ad-support model where businesses in every industry can find accurate and extensive information and build customized workflows on top of their queries.

Continue reading here:

New AI Tool Maps the Families of the Bible, A Song of Ice and Fire - Datanami

When business resumes some normalcy, Pittsburgh will get back to promoting what it has to offer in a bold way: an international summit that spotlights its role in robotics, artificial intelligence and advanced manufacturing.

The city recently won a bid to host the inaugural Global Manufacturing and Industrialization Summit (GMIS) America in July the first event booked for 2021 at the David L. Lawrence Convention Center. As the first American city to join the partnership originating in the United Arab Emirates, Pittsburgh will host a GMIS satellite event each year.

Were really excited about this. Its a tremendous thing to put the international spotlight on Pittsburgh like this, and we hope to attract investment into our city and our region, says Simin Curtis, president and CEO of the American Middle East Institute (AMEI). This will be the first time that anything like this has been held here in Pittsburgh. For us, its a success story.

Its the result of several years of communication that began with a visit by a Pittsburgh delegation to Dubai in 2018, organized by AMEI, and follow-up visits by GMIS organizers to Pittsburgh. They toured the convention center last year and again last month, when Pittsburgh was able to demonstrate that the building is ready to safely host gatherings, says Jerad Bachar, president and CEO of VisitPittsburgh.

One reason is the centers implementation of the VenueShield Environmental Hygiene Program, created by ASM Global, which ensures the building operates at the highest standard of health and safety, Bachar says.

Though current limitations on indoor and outdoor gatherings prevent many groups from meeting in Pittsburgh now, we know that the time will come soon when business and sports events will be held in the city, he says. We feel very confident that our venues, like the convention center, will be prepared to safely hold these events.

The GMIS model is meant to enable cities around the world to mobilize manufacturers and encourage collaboration and partnerships.

[Pittsburgh] serves as a great success story for its achievement in not just reviving its industrial heritage but also developing it into a high-tech manufacturing cluster, says Badr Al-Olama, head of the GMIS organizing committee. GMIS America will showcase Pittsburgh as a national and global hub for advanced manufacturing, serving as a perfect example for other cities around the world that are embarking on an advanced industrialization drive.

Bachar says the convention centers LEED Platinum Certified sustainability status also was a factor in securing the bid GMIS will encourage cities to promote inclusive and sustainable development, much as Pittsburgh has, and to advance the 2030 Agenda for Sustainable Development.

Hosting the summit will enable Pittsburgh to emphasize its robotics, AI and advanced manufacturing, making it the perfect choice, says Ira Moskowitz, CEO of the Advanced Robotics for Manufacturing (ARM) Institute.

From the first industrial revolution to todays emphasis on robotics and artificial intelligence, Pittsburgh has always been a leader in advanced manufacturing. This is a key reason why the U.S. government chose our city to be the home of the national ARM Institute, Moskowitz says. We welcome this global audience to Pittsburgh and hope that, together, we can continue to invest in the technologies andempower the peoplethat drive manufacturing capabilities forward.

Some people may have a false sense of what manufacturing is today, with its emphasis on new technologies, says Mark Thomas, president of the Pittsburgh Regional Alliance.

Weve undersold our future as an advanced manufacturing center, says Thomas. A summit is good when you can play host to a conversation that is relevant to the industries youre building because people dont just stay within the conference center and the hotels. It puts our message front and center with influencers who can determine significant investment opportunities that would benefit our region.

Theres a lot of interest to get us back to a place where we can continue growing and promoting our region.

GMIS

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GMIS, the international summit on robotics, AI and advanced manufacturing, is coming to Pittsburgh - NEXTpittsburgh

Despite their own high-tech nature, many of the 3G and 4G networks we use are currently managed through manually filled spreadsheets, complete with the errors and inaccuracies that come with human-led processes.

For its next generation of 5G networks, telecommunications giant Nokia is hoping to change the state of things. The Finnish company has announced that it has now digitized all of its 5G network deployments globally, and that the new processes it has implemented will be used in every Nokia network rollout globally.

From drone-led site surveys to AI-powered tools that can identify defects in the network in real time: to manage and maintain the swarm of small cells, base stations and antenna arrays that will come with future 5G networks, Nokia is betting big on digital tools.

SEE: 5G smartphones: A cheat sheet (free PDF) (TechRepublic)

Nokia's president of global services Sanjay Goel said: "Today, many operators suffer from a fragmented way in how their next-gen 5G networks are designed, built and managed. The adoption of automation, AI and the digitalization of assets are vital steps in a CSP's digital transformation journey to capture the full potential of 5G."

5G holds the promise of new use cases that 3G and 4G can't support: with faster networks, industrial automation will increase, virtual reality and augmented reality might finally get a killer app, gaming will reach new heights, and edge computing will boom.

Data flows are expected to jump as 5G is deployed, from 35 exabytes recorded in 2019, to 73 exabytes in 2022. As they underpin this busy ecosystem-to-be, therefore, networks will need to be more reliable than ever. And increasingly, providers have come to realize that spreadsheets won't cut it.

Many experts have already anticipated that current inefficiencies in network management are likely to become problematic when it comes to overseeing the complexity of 5G infrastructure. In a blog post earlier this year, Goel put it bluntly: "It's clear that traditional methods have their limitations."

This observation prompted Nokia to entirely digitize the deployment, management and maintenance of the company's 5G networks. It starts from day one: site surveys are carried out by drones, to capture high-definition and detailed 3D mapping of future locations, and generate data to help engineers define the necessary materials for the build.

The goal is to build the site "first time right", instead of physically sending engineers in to inspect the site several times before starting the deployment.

Remote inspection is also prioritized throughout the site's life cycle, both through drone technology and augmented-reality tools. On-site checks can this way be carried out by one person, who is able to connect, if needed, to a remote expert fitted with an AR-enabled video collaboration tool a much more efficient process that cuts costs and saves time.

All of the data generated is added to a digital database for the site. Visual and statistical online records feed into real-time dashboards that experts can access remotely to see project information and key performance indicators.

SEE: Could 'Open' systems negate Huawei's influence on 5G?

Most importantly, all of the workflows generated by different parties working on the build are integrated in one single platform called Nokia Delivery Platform (NDP). A cloud-based management application, NDP covers the whole life cycle of the network's deployment, from planning and designing to testing and validation, through construction, commissioning and integration.

Bringing siloed processes together into one central platform could reap huge benefits for teams working on network deployments.

The Finnish company's commitment to digitization has already shown positive results. "We have over 100 customers worldwide and are delivering 100% of our projects digitally, replacing traditional ways of network rollouts through digitization and automation," said Carlijn Adema, Nokia's head of marketing at Nokia Global Services. "To give some figures: Nokia's digital deployment services mean 4G and 5G networks are up to 30% faster to market, and installation quality is increased by 30%."

Site visits, according to Nokia, have also decreased by a third. The digital revolution promised by 5G networks is only around the corner; but it seems that network providers have a lot to gain from transforming their own procedures first.

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5G: How Nokia is using drones, AR and AI to speed up deployments - ZDNet

By Gairika Mitra, Tech Enthusiast

Reports state that a large number of companies are really keen to pull specialist talents in artificial intelligence and machine learning. This has resulted in a 51% spike in job postings that have been seen during the last year.

The times now are quite uncertain and despite the dreaded uncertainty that has been felt throughout 2020, the prevalence and existence of AI has been undeniable. Most researchers and specialists in AI have represented the fastest-growing role all across the world. As per a recent report from data job site Indeed, AI jobs have seen a recent explosion with a steady hike over the last five years. The report further states that the job postings in AI have been going up consistently since the last two years, with a 46% hike between 2018-19, and a 51% hike between 2019-20.

Experts in this field and from renowned corporations have stated that Artificial Intelligence or AI is one of the hottest areas in the career market right now. Most employers have been emphasising on skillsets within Python, TensorFlow, and Natural Language Processing. (NLP)

Most Demanding Skills in AI Now

Most technical skills in AI, mostly include how to manage and configure AI application programming interfaces (APIs) and deep neural networks (DNNs), advanced analytics, and also data science skillsets.

Additionally, programming expertise in Python, C#, and R, along with experience in AI-specific vendors and applications, like that of user interface (UI) and user experience (UX) have great value in the market. Apart from this, business analysis skills that would be considering process reengineering, business case development, and the experience of DevOps and agile delivery would be placed as high bets and those on high demand.

Specifically, those roles in AI that require managerial skills, and are also inclusive of data literacy, governance, ethics, AI architect skills, and experience managing the IP rights between customers and vendors are in pretty high demand. Experts hold the view that AI is a highly scientific field that requires a great deal of education, training, and focus.

These days most companies have been focussing on the need for hiring upskilled workers, and also look forward to those that have the ability to cross-skill. Lets consider a specialist in an area like that of data science, if he can thoroughly upskill himself, he can deal with the business side of a company. Recruiters and companies are looking forward to onboarding a team of multilingual people that can integrate multiple tech and non-tech skills that would be helping to assist non-technical employees with tech solutions, and tech employees with business solutions.

The idea is to keep upskilling and be updated with the various happenings all around the world with regard to technology so that could be implemented when the time is right, and a company needs it.

If you have an interesting article / experience / case study to share, please get in touch with us at [emailprotected]

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Here Are The Skills One Needs For A Career In AI - Express Computer

New NEON-1000-MDX Smart Camera series with Smart Pallet solution

San Jose, CALIF. (PRWEB) September 17, 2020

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For media inquiries, kindly contact media@adlinktech.com

ADLINK Technology Inc., a global leader in edge computing, has launched the all new NEON-1000-MDX Smart Camera series together with its Smart Pallet solution, combining the Intel Movidius Myriad X VPU, which supports inference models optimized by OpenVINOTM , and ADLINKs Edge vision software to add AI-based machine vision into existing environments easily and quickly. The all-in-one solution allows machine vision experts and developers to build, test and deploy machine learning (ML) models faster, while giving IoT solution teams and system integrators the tools to connect, stream and automate machine vision work.

Were all feeling the pressure of ramped up production during these unprecedented times. Machine vision AI is one of the quickest, easiest and most cost-effective ways to add automation into existing processes without disrupting current workflows, said Kevin Hsu, Senior Product Manager of ADLINKs IoT Solutions and Technology Business Unit. Our Smart Pallet solution, for instance, has proven to deliver a 90% reduction in traditional barcode scanning time while also enabling customized, built-to-order pallets with no changes to the production line other than the smart cameras installation. Using the highly integrated NEON-1000 effectively decreases the footprint, reliability and compatibility issue and also saves maintenance efforts for customers.

The Intel Movidius Myriad X VPU (vision processing unit) optimizes ML models and can provide some of the highest AI computing power. Eliminating complex integration of sensor modules, cables and VPU modules, the NEON-1000-MDX Smart Camera simplifies the machine vision deployment process. With the pre-installed EVA (Edge Vision Analytics) SDK, users can deploy neural networks optimized by OpenVINO without extra coding or integration efforts using a wide range of ready to use plug-ins based on environment and system requirements.

The new all-in-one NEON-1000-MDX AI smart camera supports product classification and defect detection to maximize production efficiency in smart manufacturing, as seen with the award-winning ADLINK Edge Smart Pallet solution. Smart Pallet adds intelligence and automation to manual warehouse fulfillment operations such as receiving, bin picking, packing, shipping and worker safety. Smart Pallet provides an end-to-end integrated system to connect new and existing equipment, capture multiple image data streams and apply the high performance processing power of the NEON-1000-MDX VPUs to enable machine learning and inferencing at the edge.

With the ADLINK Edge software platform developers can connect and integrate with any existing cloud, machine learning platform, neural network, industrial camera, machine vision system, piece of machinery and more regardless of vendor. ADLINKs machine vision AI software can classify what it sees, become smarter over time and also create automation workflows.

For instance, if a box contains the incorrect order on a conveyor system, it can send an alert to a conveyors sorter to divert the box to a re-check area, said Steve Cammish, VP of ADLINKs IoT Solutions and Technology. Were bringing software developers intuitive programming, automation and device management running on a powerful smart camera designed for AI workloads. The automation here is key- saving time, decreasing costs and reducing complexity.

ADLINKs machine vision AI technology has won 5 awards year-to-date. To request a demo, visit ADLINK here.

About ADLINK Technology ADLINK Technology Inc. is a global leader in edge computing. Our mission is to affect positive change in society and industry by connecting people, places and things with AI. The company offerings include robust boards, real-time data acquisition solutions and application enablement for AIoT. ADLINK serves vertical markets including manufacturing, communications, healthcare, aerospace, defense, energy, infotainment and transportation. ADLINK is a Premier Member of the Intel Internet of Things Solutions Alliance, a partner of NVIDIA, and a contributor to standards initiatives such as Eclipse, OCP, OMG and ROS2 TSC. ADLINK is ISO-9001, ISO-14001, ISO-13485 and TL9000 certified and is publicly traded on TAIEX (Stock Code: 6166). Learn more at http://www.adlinktech.com.

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ADLINK Puts the Ease in Machine Vision AI Integration and Deployment with All New Turn-Key Edge Solutions for Warehouse Fulfillment and Manufacturing...

The COVID-19 crisis and the 2020 U.S. presidential election have created uncertainty in the nationcausingmarket volatility for investors. With the amount of unstructured content in the Internet today, researchers and analysts are turning to artificial intelligence and machine learning to automate hours of manual researching, identifying, and extracting data.

Accern's Presidential Election dashboard provides users with an out-of-the-box solution to gain insights around the 2020 presidential candidates and candidate campaigns, policies, polling, appearances, and more. The dashboard retrieves and analyzes data from Accern's integrated unstructured data store of over 1 billion global public news sites and blogs.To view the dashboard, email [emailprotected].

"We have reached a pivotal point in automating workflows in the financial industry, with a no-code, AI-platform. Investors can quicklybuild and deploy event-driven use cases in minutes without writing a single line of code," said Kumesh Aroomoogan, co-founder and CEO of Accern."Weare excited about the results of our new Presidential Election dashboard in providing financial service institutions the ability to research, track, and analyze sentiment to make better-informed investment decisions."

To enable news tracking and sentiment analysis on target candidates across the U.S., Accern implemented the following features and tactics:

To learn more about the Presidential Election dashboard or to build your own AI use case, please email [emailprotected]

About Accern Corporation:Accern enhances AI workflows for financial service enterprises with a no-code data science platform. Researchers, business analysts, data science teams, and portfolio managers use Accern to build and deploy Natural Language Processing(NLP)models with artificial intelligence(AI).The results are that companies cut costs, generate better risk and investment insights, and experience a 24x productivity gain with our industry-leading NLP solutions. Allianz, IBM, and Jefferies utilize Accern to build and deploy AI solutions powered by our adaptive NLP and forecasting features. For more information on how we can accelerate AI adoption for your organization, visitaccern.com

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Media Contact: Grace Kim, [emailprotected]

SOURCE Accern

http://www.accern.com

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Accern Announces New Artificial Intelligence Dashboard to Gauge the Impact of the 2020 US Presidential Election - PRNewswire