CXL ensures memory coherency among CPU memory, CXL-fabric-attached memory pools, and memory on attached devices, enabling resource sharing with unparalleled performance compared to prior interconnect technologies. This breakthrough addresses the challenges faced by AI and HPC, ushering in systems capable of supporting emerging applications in AI and Machine Learning.

The Hybrid Solution for System Design Agility

While the advent of CXL instills hope for AI and HPC developers and users, system designers are still faced with how to meet both current and future interconnect requirements. PCIe (Peripheral component Interconnect Express) remains a widely used interface for connecting hardware components, including GPUs and storage devices. Many traditional applications only need the interconnect capability offered by PCIe. Yet, emergingly, next-generation applications need the higher bandwidth enabled by CXL. Systems designers can be stuck trying to meet demand for the approach with the greatest need.

XConn is meeting this challenge by offering the industry’s first and only hybrid CXL 2.0 and PCIe Gen 5 switch. Combining both interconnect technologies on a single 256-lane SoC, the XConn “Apollo” switch offers the industry’s lowest port-to-port latency and lowest power consumption per port in a single chip – all at a low total cost of ownership.

As a result, system designers only have to design once to achieve versatile expansion, heterogeneous integration for a mix of accelerators and fault tolerance with the redundancy mission critical applications required for true processing availability. Able to serve as a universal interface for CPUs, GPUs, DPUs, FPGAs, and other accelerators, the XConn hybrid switch offers:

• Versatile Expansion: CXL/PCIe switches can be used to connect multiple CXL/PCIe devices mix matched, enabling system designers to create scalable and flexible architectures. This is particularly valuable for HPC clusters and data centers where modular expansion is essential. Even more valuable is the ability to use PCIe and CXL in a single switch where system designers can design hardware once and have the flexibility to support either CXL or PCIe devices by programming the port configuration through software changes.
• Cost Efficiency: As an advanced interconnect solution, the XConn Apollo switch supports both CXL 2.0 and PCIe Gen 5 in a single system-on-chip (SoC). Offering up to 256 lanes, it offers a huge amount of switching capacity that normally requires two or more switches from other vendors – a huge cost savings for system companies on printed circuit board (PCB) area, bunch-of-memory components, and thermal consumption. The hybrid-mode design also offers design savings, where a single hardware design will work with today’s PCIe devices while being future upgradable into a CXL device without re-spinning the PCB design.
• Heterogeneous Integration: Many AI and HPC workloads require a mix of accelerators, such as GPUs, TPUs, and FPGAs. Hybrid PCIe-CXL switches can seamlessly integrate these diverse accelerators taking advantage of the processing performance, scale and lower cost of CXL memory, allowing for heterogeneous computing environments to be optimized for specific tasks.
• Fault Tolerance: The agility of hybrid PCIe-CXL switches can enhance system reliability by providing redundancy and failover capabilities. This is crucial for mission-critical applications where downtime is not an option.

CXL is transforming memory availability for AI and HPC applications. By enhancing memory bandwidth, capacity, and interoperability, CXL promises to unlock the full potential of these memory-intensive workloads. Adoption of this valuable innovation will be accelerated through the delivery of hybrid PCIe-CXL switches which deliver the versatility and efficiency systems designers need to meet diverse use case demands.

To learn more about XConn Technologies hybrid CXL switch technology, visit the website here.

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“We have launched this channel-first strategy at MixMode to meet the rising demand from enterprise organizations whose technologies are failing them in the fight against cyber threats. MixMode’s patented AI generates an evolving alert framework capable of precise real-time detections, uniquely positioning MixMode and its partners to detect and combat the sophisticated cyber attacks of the 21st century including zero-day attacks and ransomware,” said Mark Rotolo, Chief Revenue Officer. “We are excited to empower our partners to deliver more secure solutions leveraging the MixMode Platform.”

The Paradigm program is structured in three tiers for our reseller partner community to reward deeper engagement and investments in MixMode. As well, MixMode offers a managed service partners’ program powered by the platform’s multi-tenant capabilities, which makes our MSPs more efficient from one console and provides a seamless billing solution so they can help customers fight AI-generated and novel attacks with generative AI.

The key benefits of the newly-launched MixMode Paradigm Partner Program Includes:

• Access to the MixMode patented generative AI Platform
• Co-marketing investments for market growth
• Partner enablement to accelerate our joint support in the field with partners
• Access to our newly-launched partner portal with the ability to leverage co-branded vertical technical assets

The MixMode Paradigm Partner Program is designed to open new channels for global customers to harness the breakthrough threat detection and response capabilities MixMode’s patented AI Platform offers for both cloud and on-prem environments. MixMode partners are already seeing service opportunities at around 25% of the total sale, which is driving better margins and overall support for their end-users.

“MixMode gives our clients the ability to detect zero-day attacks and other non-signature-based techniques in the world’s largest datasets before they become a problem,” said Justin Domachowski, CEO and Founder of Defy Security. “This is game-changing protection against increasingly sophisticated adversaries.”

“I’m proud to launch the Paradigm Partner Program and provide our partners with the tools and support they need to take advantage of MixMode’s one-of-a-kind application of generative AI for Cybersecurity threat detection, to benefit and protect our partners’ customers,” said Todd DeBell, VP of Global Channels. “2023 has been a year of investment and growth in MixMode’s channel-first strategy and I am pleased to lead this veteran team of channel professionals. This program enables our partners to quickly leverage the MixMode Platform to deliver advanced threat detection and response at scale to customers across every industry.”

For more information visit the website here.

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Key Features of Scanbase:

Test Result Verification: Using advanced computer vision and AI algorithms, Scanbase can analyze images of Lateral Flow and Colorimetric Tests to ascertain their results, and detect low positives, or faint lines, beyond what the human eye is capable of detecting.

Blood Sample Verification: The company’s groundbreaking technology can validate dried blood spot cards’ adequacy and proper sample collection and drastically reduce errors among sample collection.

What sets us apart?

What sets Scanbase distinctly apart in the market is its plug-and-play medical diagnostic analysis API. This technology offers integration capabilities that companies can leverage within days.

Why Scanbase?

In an era where the demand for at-home medical solutions is surging, Scanbase stands tall with its holistic and easily integrable systems. Its proficiency in Artificial Intelligence (AI), Machine Learning (ML), and vast data handling capabilities guarantee precision and convenience. Besides, Scanbase’s comprehensive solutions range from mobile to web apps, ensuring maximum reach and usability.

Key Benefits:

• Users rejoice with instant at-home results.
• Clients observe an unprecedented enhancement in customer experience.
• Real-time tracking of user results becomes a reality for clients.
• Hospitals and labs receive rapid software upgrades to replace obsolete software

Target Audience & Availability

Scanbase caters predominantly to users of at-home test kits, covering both lateral flow and colorimetric variants, as well as tests that rely on dried blood spot collection. Given its universal applicability, Scanbase proudly announces its global availability, ensuring no boundaries limit its vision of reshaping healthcare. Furthermore, the product provides rapid software upgrade solutions for hospitals and labs aiming to replace their obsolete software.

Scanbase – Verify – Sample Verification

What’s New & Future Endeavours

Recently, we expanded its repertoire and now supports more than 40 at-home lateral flow and colorimetric tests. Additionally, it has incorporated compatibility with all ADx and Whatman style dried blood spot (DBS) cards. Scanbase has also started producing software for hardware analyzers in laboratory and hospital settings.

Words from the CEO

“Our mission is to provide swift and easily accessible healthcare to the global community by building bleeding-edge computer vision and diagnostic software infrastructure,” remarks Jeffrey Lange, CEO of Scanbase.

For more information, including visual aids, testimonials, and detailed insights, please the website here.

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“The unprecedented pace of change and innovations in technologies are transforming the way Healthcare and Life Sciences organizations operate, compete, provide care and bring new treatments to market,” said, Anatoly Postilnik, Managing Director, Clinovera. “Far from being a startup, Clinovera’s experts have decades of domain-specific expertise to help organizations digitally transform to improve the quality of care, speed clinical development, lower costs and ultimately change millions of lives for the better.”

New Clinovera Healthcare and Life Sciences Services:

• Artificial Intelligence and Machine Learning – Clinovera AI/ML experts help organizations analyze, develop and implement rapidly evolving technologies to accelerate the pace of innovation, modernize care infrastructures, and improve population health, patient diagnosis, and drug discovery.
• Real World Evidence (RWE) Research – Clinovera data scientists and software engineers help organizations advance clinical trials and clinical research by building efficient ETL (extract, transfer & load) pipelines to Common Data Models, performing data harmonization, developing high-quality data repositories, and building research applications.
• Data Management, Engineering & Analytics – Clinovera data experts and software engineers help organizations design and build large-scale operational data stores, facilitate data governance, quality management, and generate analytical insights to lower costs and improve patient outcomes.
• Standards-based Health Data Interoperability – Clinovera domain experts analyze, design, develop and implement a highly connected healthcare ecosystem utilizing standard healthcare interoperability protocols and emerging technologies.
• Systems Development and Integration – Clinovera experts and software engineers design, develop and implement clinical decision-support systems, patient and provider portals, and other custom solutions for patients, clinicians, researchers, staff, vendors and others.

Story Highlights:

• The Clinovera brand, to be unveiled at HIMSS23, was created by and is the dedicated Healthcare and Life Sciences division of Cambridge, Mass.-based First Line Software, which has served these industries for more than a decade.
• New industry-specific technology, consulting and advisory services are focused on helping organizations unleash the power of innovative technologies like AI, machine learning, intelligent analytics and others to transform business operations, clinical and research processes and deliver personalized experiences.
• Clinovera’s domain-specific thought leaders, medical informaticians, and other highly skilled technical specialists and developers have decades of experience working with leading Healthcare and Life Sciences organizations.

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This latest financing round was led by Sierra Ventures, with participation from the company’s pre-seed lead investor Origin Ventures and brings its total financing to date to $27 million. Hammoq startup has Automated More than a Half Million Resale Product Listings Across a Broad Network of eCommerce Marketplaces Using Artificial Intelligence and Machine Learning

A glut of online retail returns and a flourishing market for sustainable fashion upcycling and vintage items has created an exploding reCommerce industry. With this financing round, Hammoq will accelerate development of its AI and machine learning platform to automate marketplace listings and open up channels for reseller financing as well as product sourcing.

“The reCommerce market is exploding, with the fashion resale market alone expected to reach $26 billion in 2022,” said Sid Lunawat, CEO and Co-Founder of Hammoq. “There are an abundance of resale marketplaces supporting this economy. Yet, the largest gap is in the labor required to identify product value and push it to the marketplaces. With rising labor costs, the need for automation in the reCommerce industry continues to grow. Using AI and machine learning, Hammoq has put a major dent in this labor gap, empowering its customers to automate the identification and listing process. Our latest funding will accelerate tech development while supporting our sales and marketing strategies to capitalize on this rising opportunity.”

Goodwill of the San Francisco Bay and Hammoq share a deep commitment to sustainability. Hammoq’s AI technology is helping Goodwill to process more material donations, more quickly to help divert more items from landfill. Donated items are given a second life in Goodwill thrift stores.

Another customer of Hammoq is reseller Flip the World. “Before we brought Hammoq on to handle our listings, I would average around 40-50 listings a week. Listing across platforms is time consuming work and after a full day of sourcing, cleaning, prepping and photographing I found that I was falling asleep in bed trying to get my listings up,” said Chris Hatfield, Owner, Flip the World. “Now with Hammoq, we’ve more than doubled our weekly listings and have gone from a 500-item store to over 2,000 in less than two months. It’s been a game changer for our business. Now we can focus on the most important part of reselling, sourcing the items, rather than the listing.”

Hammoq was co-founded by reCommerce industry veterans Sid Lunawat and Ty Blunt, sustainability advocates who believe the 80 billion resalable items dropped in landfills every year have a viable purpose for prolonged use. After successful stints running a reseller business, Lunawat and Blunt understood that identifying and easily listing products for resale was an acute pain point. To solve this challenge, they developed the Hammoq software platform using AI and machine learning to enable listing at scale. Starting with a simple photo, the platform uses product data to automatically enable listings across dozens of resale marketplaces. Hammoq has listed over 600,000 products for sale and ensures 100% compliance with data listing requirements prior to pushing to the marketplaces.

“Hammoq is uniquely serving the exploding reCommerce industry by applying technology to solve sellers’ largest challenge: intelligent, real-time listings,” said Vignesh Ravikumar, Partner, Sierra Ventures. “Their solution and business model are well aligned with our mission to invest early in emerging technology companies that are moving the needle in key market areas. Their SaaS reCommerce solution is delivering precisely what the rapidly transforming market needs as consumers actively seek ways to buy used products that support sustainability and reuse.”

Hammoq is a company that is reimagining reCommerce, digitizing resale goods and automating online listings so customers can list and sell more. Established in 2021 and based in Phoenix, Hammoq has supported the identification and listing automation process for more than 600,000 items. For resellers, liquidators, thrift and retail organizations, Hammoq enables the resale of returns, lost SKUs, overstocks and other pre-loved goods. Built by resellers for resellers Hammoq’s SaaS platform drives customers’ ability to scale reCommerce, while significantly reducing the time and labor needed to get merchandise online.

Sierra Ventures is a Silicon Valley-based early-stage venture firm investing globally with a focus on Core Enterprise and Next-Gen Technologies. With four decades of experience and over $2 billion of assets under management, Sierra has created a vast network of successful entrepreneurs, Global 1000 CXOs, operational executives, and deep domain experts, providing a platform for entrepreneurs around the world.

Learn more about Hammoq at the website here.

Image licensed by unsplash.com

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Retail returns topped $761 billion in 2022 and is projected to reach trillions over the next few years. Due to the complexity of processing these items for resale, merchandise is frequently incinerated, exported, liquidated for pennies on the dollar or dumped into landfills. This is not only unsustainable, it’s costly. As online shopping flourishes and the culture of ‘buy and return’ continues to overwhelm retailers, a resulting used goods marketplace has emerged to a tune of $36 billion in 2022. And that’s just apparel, electronics adds $32.5 billion, used furniture another $12 billion, the list goes on -– placing the resale industry sternly in the trillions.

While there is an abundance of product and a variety of resale marketplaces where these items could be sold, the barrier is in the processing and listing of these products. This has traditionally been a labor-intensive process where products must be manually identified, valued, and characterized before listing for sale. With artificial intelligence (AI) and machine learning, all this is changing.

How AI is Changing the Product Resale Market

Retailers, along with used product resellers, non-profits, thrifters and liquidators, want to capitalize on this thriving reCommerce market to cut the billions of dollars going to waste. AI and machine learning has become the answer. Here are the key ways AI is enabling the reCommerce industry to scale.

1. Attribute Identification. Using AI and machine vision, resellers are able to quickly take what was once a very manual process of identifying and assigning product attributes and automate this identification process. Product characteristics such as color, style and even brand can be quickly assessed, automatically, using simple photographs. This can cut hundreds of hours off product processing when used for large batches of items, such as returns, donations and overstocks.
2. Product Valuation. Returned, donated and used items typically don’t have designated tags or SKUs that can identify the value or assign a price. Using AI technology, identified attributes can be used to scour data sets across resale markets to properly identify current item value and set a market price. This too takes hours off of the traditionally manual product pricing process and is very effective at optimizing resale revenue.
3. Marketplace Listing Automation. Product marketplaces from Poshmark, threadUP and The RealReal to eBay, OfferUp and Facebook Marketplace all require specific adjustments and characterizations to effectively list on their sites. AI technology and automation is being used to produce fully compliant, SEO optimized listings for each marketplace so that products are showcased effectively, no matter where they are being sold.
4. Empowering Listing Volume. Listing products for resale is a numbers game. And with so much product volume to move, retailers specifically need to optimize their listing abilities to recoup lost profits from returned goods. AI empowers scalability and incredible volume, enabling sellers to move from a 5,000-item turn a month to exponentially increase overnight.
5. Lowers Labor Costs. The cost of human labor has been the number one barrier to increasing reCommerce scale. Through AI and machine vision technology, resellers are closing the labor gap and optimizing profitability without the costs, challenge and difficulty of recruiting workers or shipping product offshore to perform processing. This further reduces costs and enhances rapid growth through product processing scale.

There are many uses for AI and machine learning technology, but perhaps none are as market changing as how AI can transform reCommerce. AI bridges the gap between sustainability, labor shortages, and the increasing consumer demand for recycled goods. It will indeed change the game for today’s retailers as they move quickly to compete in today’s competitive retail industry and maximize the losses from high volumes of returns.

For more information please visit the HAMMOQ website.

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Mavenir announces the commercial availability of its Intelligent IoT Platform (IIoTP). The solution applies artificial intelligence (AI) to data streams from IoT sensors, enabling enterprises and communication service providers (CSPs) to gain instant insights and actionable intelligence. Mavenir is the Network Software Provider building the future of networks with cloud-native software that runs on any cloud and transforms the way the world connects.

The post Mavenir IIoTP Introduces Smarter Analytics for CSP Insights appeared first on Digital IT News.

Bavard offers an enterprise-grade conversational AI platform that integrates seamlessly with an organization’s platforms to deliver more personalized experiences. LifeOmic customers are now able to access AI-enabled customer support via a chat bot on the website or within the LIFE mobile applications. Utilizing advanced natural language processing, LifeOmic users can utilize unique features, including the ability to communicate in any language and to receive a custom experience based on past interactions. Customers can instantly connect with support at any time to receive faster responses and can connect with live agents when escalation is necessary.

“Our customers are our number one priority, and this acquisition ensures we’re able to offer the best support possible,” said Dr. Don Brown, LifeOmic CEO and founder. “They can now engage with a platform that responds 24/7 and is powered by thousands of data points to provide personalized suggestions when they need it most.”

LifeOmic’s digital health tools are used by employers, consumers and health care organizations to improve health outcomes. With the expanded abilities from Bavard’s technology, employers are able to expedite the onboarding of LifeOmic products to their employees and consumers are able to easily ask questions about LIFE Apps. Overall, customers will have a seamless customer support experience and with enhanced intelligence and context for each interaction.

“The majority of people are spending more time online and the need to optimize the experience is greater than ever. We created Bavard’s conversational platform to engage with users around the clock, even after a live support team has gone home,” said Angelique Brown, Bavard CEO and co-founder. “Together with LifeOmic, we are excited to leverage this cutting-edge technology in the health and wellness industry to help organizations deliver better user experiences at scale.”

Learn more about LifeOmic  LIFEAPPS and Bavard

Image licensed by stocksnap.com

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The AACC AI Incubator Network will bear the demand for higher education AI technical and literacy skills, attract educators and support community colleges with the tools they need to teach AI courses. According to a 2021 EdScoop survey, underwritten by Dell Technologies and Intel, higher education administrators responded that the demand for AI skills training is outpacing their current ability to meet said demand. Fifty-three percent of survey respondents suggested AI would account for the most significant increase in instructional demand over the next three years, and 50 percent said they would like support from a consortium/association of peer institutions.

Since the AI for Workforce program launched in 2020, Intel has expanded it to 31 schools across 18 states. The AACC AI Incubator Network initiative will quickly expand the AI for Workforce program across the entire nation, fostering a national dialogue and bringing coordinated resources to the broader community college system.

“Building upon Intel’s partnership with the AACC and Dell Technologies by establishing incubators for emerging technology education across the U.S. will provide greater access to critically needed technical skills and training in AI,” said Michelle Johnston Holthaus, Executive Vice President and General Manager of the Client Computing Group at Intel. “This specialized program is a starting point for the next generation of U.S. technologists, engineers, and inventors to expand their innovative thinking and go on to land careers in all sectors of the digital economy.”

For colleges that choose to participate, AACC will support the implementation of the AACC AI Incubator Network. By joining the network, colleges will have the opportunity to participate in discussions about learning pathways, connect on strategic economic development opportunities, strategize on student engagement in AI programs, share resources for student AI projects between and among the participating colleges and gather the best practices from the field as identified by AACC, Intel, Dell Technologies and other industry-relevant partners.

The program will support colleges seeking to design and build an AI incubator as a physical laboratory on campus, on a virtual platform or as both in a hybridized model. Participating colleges will be eligible to apply for one of 10 12-month grants of $40,000 to build out their AI labs. The selections will be made based on criteria determined by AACC, Intel and Dell Technologies.

“AI has become an increasingly important focus for community colleges as providers of workforce education for multiple industries,” said Dr. Walter G. Bumphus, AACC’s president and CEO. “Working together with peers and across sectors will enhance the ability of our colleges to advance and scale this curriculum across the nation to ensure that students earn the skills needed to fill these jobs and begin meaningful careers.”

“Dell Technologies has an organizational goal to make a positive impact on 1 billion lives by advancing health, education and economic opportunity. This partnership between AACC, Intel and Dell gives us an opportunity to meet this goal,” said Leslie Harlien, Vice President of State and Local Government and Education Strategy, Dell Technologies. By lending our technical expertise to the AACC AI Incubator Network, we will help community colleges develop virtual and on-campus artificial intelligence in education labs. This will prepare the AI-ready future workforce and provide skills and training that will lead to real-world jobs.”

Dell Technologies will provide technical expertise to the 10 selected schools to configure AI labs for teaching in-person, hybrid, and online students. The labs will provide students with more access to AI computing power, tools and resources, helping foster the skills needed for future jobs. In addition, the curriculum from the AI for Workforce program and taught in the AI labs will support courses on data analytics, computer vision, natural language processing, AI model training, coding, the societal impacts and ethics of AI technology, and more.

Learn about American Association of Community Colleges (AACC) or Intel’s AI for Workforce Program in the US and download the 2021 EdScoop survey

Image licensed by pixabay.com

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The fact that not just young people, but adults, are struggling to control their smartphone addiction — even at work — raises the following question: should we use bold, broad-based approaches to help people develop healthy screen habits while they are young?

To answer this question Screen Education partnered with Innovate MR and statistician Glenn Stark to survey three relevant stakeholder groups — high school students, high school teachers, and workplace managers.

When asked whether they believe smartphones should have built-in AI applications that sense when young people are using their smartphone in an addictive way, and that then help them regain control:

• 86% of high school teachers agreed
• 82% of workplace managers agreed
• 58% of high school students agreed

When asked whether they believe school systems should teach students, as they progress through each grade level, how to control their screen time:

• 91% of workplace managers agreed
• 81% of high school teachers agreed
• 66% of high school students agreed

When asked whether they believe there should be regulations requiring the companies that create the most addictive apps — games, social media, streaming video — to place daily time limits on young people to reduce their daily screen time:

• 70% of workplace managers agreed
• 69% of high school teachers agreed
• 46% of high school students agreed

When asked whether they believe society should place greater emphasis on cultivating personal qualities that would help youth control their screen time, such as discipline, self-control, sacrifice, the drive to achieve:

• 95% of high school teachers agreed
• 92% of workplace managers agreed
• 86% of high school students agreed

According to Michael Mercier, President of Screen Education, “We’ve been having a national conversation about addressing smartphone addiction for five years. This research reveals that very strong majorities of people are fed up with the enormous toll smartphone addiction is taking, and that they therefore support broad, bold solutions that limit children’s screen time, and that help them develop the ability to self-limit their screen time.”

Other issues examined in the study include the following:

• How widespread the problem of smartphone addiction is
• The myriad consequences of smartphone addiction
• How frustrated students and employees are by their smartphone addiction
• The extent to which high school students, high school teachers, and employees want to address smartphone addiction

All three surveys were fielded during the summer of 2021, included a combined total of 1,388 respondents, and had a margin of error of 4-5%.

To obtain copies of the survey reports visit www.ScreenEducation.org/Broad-Solutions-To-Smartphone-Addiction.

To register for a 11/11/21 webinar presentation of the findings visit https://us02web.zoom.us/webinar/register/WN_eAyiuQo8Tz2cDg-lUpj1zA.

Image licensed by pexels.com

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