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Kneron Debuts Edge AI Chip, Bringing AI to Devices Everywhere

Vlad Poptamas

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Amidst the fierce competition in the world of artificial intelligence dominated by global tech companies, an AI startup in Taiwan has emerged as the pioneer in the field of edge AI. Kneron was founded by a young Taiwan native Albert Liu, and received funding from renowned investors including Himax, Qualcomm, CDIB, Alibaba Entrepreneurs Fund and Horizons Ventures, the private technology investment arm of Mr Li Ka-Shing. Today, Kneron is unveiling its ground-breaking 3D artificial intelligence solution and edge AI chip.

Named after its release date of May 20th, Kneron’s debut AI Chip “KL520” has the best-in-class power efficiency only consuming a few hundred mega-watts, bringing AI computation power to edge devices for various applications.

Building Global Partnerships to Bring AI to the Masses

Further to the KL520 edge AI chip release, Kneron is also announcing partnerships with industry leaders to bring their chip into our everyday lives. Partnerships include fabless IC maker Etron Technology Inc., US-listed company Himax Technologies Inc. (NASDAQ: HIMX), enterprise PC OEM AAEON Technology Inc., 3C solution provider Alltek Technology Corp, renowned ODM players Pegatron, as well as 3D sensing provider Orbbec, and IC design house Datang Semiconductor.

Founded in 2015, Kneron is headquartered in San Diego. Founder Albert Liu graduated from National Cheng Kung University, received his PhD from UCLA, and subsequently worked at Qualcomm, Samsung Electronics and MStar, developing advanced AI systems.

Proprietary Reconfigurable Architecture to Bring Efficient AI Solutions On-Device

The KL520 edge AI chip is a culmination of Kneron’s core technologies, combining proprietary software and hardware designs to create a highly efficient and ultra low-power Neural Processing Unit (NPU). Running AI computations on the end device will help generate real-time insights without relying on the cloud.

In particular, KL520 is equipped with a unique reconfigurable architecture which allows the chip to run a number of different convolutional neural networks (CNN) based on different applications, regardless of its kernel size, architecture requirements or input size. In turn, the chip is able to achieve a very high MAC (media access control) efficiency, a key metric for efficient computation. This software innovation allows the chip to dynamically adjust its function based on applications needs, in order to achieve maximum efficiency. The KL520 is also equipped with a proprietary compression technology that is able to compress a large AI neural network into a very small footprint to process on the edge device, without sacrificing large amounts of power.

Kneron’s software and hardware innovations are truly a breakthrough in the development of edge AI. By bringing elements of reconfigurability and compression onto the chip, the KL520 is bringing AI computation to various end-devices that operate under low-powered environments.

Features and targeted applications for the KL520:

  • Low-powered with a small physical footprint
  • The KL250 can run alongside a main chip as a co-processor; will not need a replacement chip
  • For smart door lock applications, KL520 includes two ARM Cortex M4 CPU, which can serve as the main processor.
  • Balances the need of performance, power and cost to bring the best solution for edge applications
  • Applicable to various 3D sensor technologies such as structured light, dual-camera and ToF, and Kneron’s exclusive 3D sensing technology
  • Well-suited for applications including smart locks, security cameras, drones, smart home appliances and robotics

During the product launch event, Kneron’s Founder and CEO, Albert Liu said: “We are determined to deliver the best-in-class edge AI solution to the market. The results that we have achieved over the past four years are very promising, and we are proud to receive recognitions from industry partners for our innovations.”

Liu also mentioned that Kneron will be releasing its second-generation chip during Q4 this year, targeted toward the surveillance and security market. The team will also be exhibiting at CES Asia 2019 in June, showcasing Kneron’s latest products to partners and potential customers.

SOURCE Kneron Inc.

Artificial Intelligence

Aidéo Technologies Launches Free Use of AI-Powered Automated CPT and Diagnosis Coding During the US Response to COVID-19

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MELBOURNE, Fla., April 01, 2020 (GLOBE NEWSWIRE) — Aidéo Technologies – a leader in AI-enabled automation technology for the healthcare industry – announced today that it will allow healthcare organizations and revenue cycle management companies to utilize its AI enabled medical coding engine Gemini AutoCode™ free of charge in response to COVID-19.
COVID-19 has disrupted the global revenue cycle management workforce and created challenges for organizations lacking a secure infrastructure to allow employees to work from home while under shelter-in-place mandates. As a by-product, physician practice and hospital revenue are negatively impacted.There is a growing concern over security of US patient data as many companies cannot meet security requirements in a work from home environment. “Aidéo Technologies wants to help the US Healthcare Delivery System remain financially viable during this national crisis,” said Rob Gontarek, the President and CEO of Aidéo Technologies. “We are making our technology platform available at no cost for the duration of the crisis to affected providers and revenue cycle management companies. Organizations can gain immediate access to a secure solution to the disruption in the global workforce.” The business continuity of medical groups and hospitals can be maintained using the machine learning models for medical coding through Gemini AutoCode™.Gemini AutoCode™ uses AI, a proprietary Natural Language Processing engine, and machine learning to interpret structured and unstructured clinical data. The application assigns the appropriate procedure and diagnosis codes, with no human intervention required. Gemini AutoCode™ easily integrates with electronic medical records and can accurately interpret and code over forty-thousand clinical encounters per hour.It is expected that COVID-19 will have a lasting impact on the US Healthcare Delivery System and the machine learning of Gemini AutoCode™ will offer relief to entities impacted by the crisis. For more information, please visit www.aideo-tech.com/howcanwehelp?About Aidéo Technologies
Aidéo Technologies (www.aideo-tech.com) provides software automation tools using artificial intelligence, robotics, and machine learning to the healthcare industry. Established in 2009, the company has development centers in Melbourne, Florida, and Silicon Valley. Aidéo is a portfolio company of Avtar Investments (www.avtarinvestments.com), a private family office investment firm focused on disruptive technology in healthcare.
Contact:
Laura Krejca
Senior Director, Client Service
laura.krejca@aideo-tech.com

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2nd Gen AMD EPYC™ Processors Power New IBM Cloud Bare Metal Servers

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SANTA CLARA, Calif., April 01, 2020 (GLOBE NEWSWIRE) — Today, AMD announced that IBM Cloud is enhancing its global infrastructure with 2nd Gen AMD EPYC™ processors to power its latest bare metal servers. With the addition of the AMD EPYC 7642 processor to its cloud portfolio, IBM is engineered to deliver increased computing performance in its bare metal offerings. Available now, these new bare metal servers are the first 2nd Gen AMD EPYC™ based offering from IBM Cloud and are focused on the computing power and performance required to accelerate modern workloads like data analytics, electronic design automation, artificial intelligence and virtualized and containerized workloads.
“2nd Gen AMD EPYC processors deliver where it counts for cloud providers, providing the cores, scalability and throughput for critical workloads,” said Forrest Norrod, senior vice president and general manager, Data Center and Embedded Solutions, AMD. “We are extremely excited to extend the advantages of 2nd Gen AMD EPYC processors to new bare metal offerings at IBM Cloud, helping customers tackle today’s compute-intensive workloads.”“We are thrilled to launch new IBM Cloud offerings powered by the 2nd Gen AMD EPYC CPUs,” says Satinder Sethi, GM, IBM Cloud Infrastructure Services. “With these new processors, we can offer IBM Cloud clients greater choice and flexibility to select the platform that is best suited to meet the needs of today’s most demanding workloads. We look forward to continuing to deliver new innovations and value to our clients in the future.”The AMD EPYC 7642 based, dual socket bare metal server offering at IBM Cloud includes:96 CPU cores per platformBase clock frequency of 2.3GHz with a Max Boost up to 3.3GHzi8 memory channels per socket for superior memory bandwidthUp to 4TB memory configuration supportUp to 24 local storage drivesOS choices of RHEL, CentOS, Ubuntu, MS ServerMonthly, pay-as-you-use billingOrderable via the global IBM Cloud Catalogue, API, or CLIThe bare metal servers are being made available in IBM Data Centers across the North America, Europe, and Asia Pacific regions. The AMD EPYC 7642 based servers can be ordered via the IBM Cloud global catalogue portal, API or CLI and consumed in a monthly pay-as-you-use model. Visit IBM Cloud to start building a bare metal server configuration with 2nd Gen AMD EPYC processors.Supporting ResourcesLearn more about IBM Cloud Bare Metal ServersRead more at the IBM BlogLearn more about the AMD 2nd Gen EPYCTM ProcessorBecome a fan of AMD on FacebookFollow AMD on TwitterAbout AMD
For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website, blog, Facebook and Twitter pages.
AMD, the AMD Arrow logo, EPYC, and combinations thereof, are trademarks of Advanced Micro Devices, Inc. Other names are for informational purposes only and may be trademarks of their respective owners.i Max boost for AMD EPYC processors is the maximum frequency achievable by any single core on the processor under normal operating conditions for server systems. EPYC-18 
Contact:
Aaron Grabein
AMD Communications
(512) 602-8950 Laura Graves
AMD Investor Relations
(408) 749-5467

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Predictive Oncology Reports 2019 Full-year Financial Results

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MINNEAPOLIS, April 01, 2020 (GLOBE NEWSWIRE) — Predictive Oncology Inc. (NASDAQ: POAI) (“Predictive Oncology” or “the Company”), a knowledge-driven company focused on applying artificial intelligence (“AI”) to personalized medicine and drug discovery, today reported financial results for its full year ended December 31, 2019, as well as select corporate highlights.Q4 HighlightsSecured $15.0 Million equity line with Oasis Capital, LLCNew subsidiary Helomics reached milestone sequencing tumor cases in partnership with UPMC MageeSubsidiary Skyline Medical completed largest STREAMWAY™ System order to a single hospital in the Company’s historyLaunched CancerQuest 2020 initiative, with ovarian cancer initial targetFull-Year 2019 Results – 2019 vs. 2018Revenues were $1.4 million, flat year on year relative to $1.4 million in 2018Net loss was $19.7 million versus $10.1 million in 2018, owing in part to Helomics merger expenses, goodwill impairment, and other extraneous expenses related to the transaction.Bob Myers, CFO of Predictive Oncology, stated, “2019 was not without its challenges for the entire healthcare technology industry, yet we continued to execute on our business model, making a synergistic acquisition and shoring up our balance sheet via a new $15.0 million equity line from Oasis Capital. Our STREAMWAY line has maintained strong disposable product sales and we continue to sell the STREAMWAY System.”“We continue to be very excited about the revenue and monetization prospects for our precision medicine business, which will allow us to be at the forefront of developing the artificial intelligence required to combat a variety of ailments, as well as our revolutionary STREAMWAY clinical waste disposal products,” stated Dr. Carl Schwartz, CEO and Director. “We will continue to execute upon our comprehensive strategy to deliver long-term profitable growth and innovation while concentrating our efforts and resources on our recently acquired Helomics business.”“Building on the successes in 2019, we have recently announced the launch of our CancerQuest 2020 initiative, and we expect Helomics’ first AI-driven predictive model of ovarian cancer to be ready for initial commercialization in revenue generating projects with Pharma in Q2-2020,” Dr. Schwartz added. “Furthermore, we have signed a Letter of Intent to acquire Quantitative Medicine, a biomedical analytics and computational biology company. Against this backdrop, we believe that Predictive Oncology will continue to be a pioneer within the fields of biomarker discovery and precision therapies going forward.”FULL-YEAR 2019 RESULTSRevenues were $1.4 million, consistent with 2018. Revenues in both years were primarily driven through the sale of Predictive Oncology’s proprietary STREAMWAY units, of which 43 units and 41 units were sold, respectively, in each of 2019 and 2018. Gross margins remained strong, declining slightly to 62% in 2019, from 71% in 2018, largely due to the increase in costs following the consolidation of the Helomics acquisition on April 4, 2019. However, exclusive of Helomics, the cost of sales related to the sale of STREAMWAY products was comparable on a year-on-year basis.Net losses for 2019 totaled $19.7 million versus $10.1 million in 2018. General & administrative expenses rose 111% to nearly $9.8 million in 2019 as a result of extraneous expenses and initial costs related to the Helomics merger.  In addition, Predictive Oncology recognized a credit loss of $1.0 million in notes receivable from CytoBioscience (now operating as InventaBioTech). Operational expenses also rose to $3.0 million, compared to $1.8 million in 2018. Net loss in 2019 reflected impairment charges of $8.1 million on goodwill related to the Helomics merger and $0.8 million on intangibles, versus no impairment charges in 2018.Separately, the Company benefited from a gain of $6.1 million as a result of the revaluation of the equity method investment recorded post the initial 25% purchase of Helomics, following the merger and consolidation of Helomics effective April 4, 2019. Predictive Oncology also incurred other expenses of $4.0 million in 2019 compared to only $441,000 in 2018, primarily due to an increase in interest expense, payment penalties, amortization of original issue discounts and a loss on debt extinguishment related to our notes payable.OUTLOOKGoing forward, management intends to focus its resources on the Helomics and TumorGenesis divisions and the Company’s primary mission of applying artificial intelligence to precision medicine, drug discovery and the mediums used to replace rats and mice in preliminary cancer studies. Predictive Oncology had previously reported in December 2019 that it had received several indications of interest for the possible acquisition of its Skyline Medical division (which owns and markets the Company’s proprietary STREAMWAY System) no further action has resulted from these indications, and today management reaffirms that it is focusing the majority of its resources on maximizing opportunities within the Company’s precision medicine business.About Predictive Oncology Inc.Predictive Oncology (Nasdaq: POAI) operates through three segments (Domestic, International and Helomics), which contain four subsidiaries; Helomics, TumorGenesis, Skyline Medical and Skyline Europe. Helomics applies artificial intelligence to its rich data gathered from patient tumors to both personalize cancer therapies for patients and drive the development of new targeted therapies in collaborations with pharmaceutical companies. Helomics’ CLIA-certified lab provides clinical testing that assists oncologists in individualizing patient treatment decisions, by providing an evidence-based roadmap for therapy. In addition to its proprietary precision oncology platform, Helomics offers boutique CRO services that leverage its TruTumor™, patient-derived tumor models coupled to a wide range of multi-omics assays (genomics, proteomics and biochemical), and an AI-powered proprietary bioinformatics platform to provide a tailored solution to its clients’ specific needs. Predictive Oncology’s TumorGenesis subsidiary is developing a new rapid approach to growing tumors in the laboratory, which essentially “fools” cancer cells into thinking they are still growing inside a patient. Its proprietary Oncology Discovery Technology Platform kits will assist researchers and clinicians to identify which cancer cells bind to specific biomarkers. Once the biomarkers are identified they can be used in TumorGenesis’ Oncology Capture Technology Platforms which isolate and help categorize an individual patient’s heterogeneous tumor samples to enable the development of patient specific treatment options. Helomics and TumorGenesis are focused on ovarian cancer. Predictive Oncology’s Skyline Medical division markets its patented and FDA cleared STREAMWAY System, which automates the collection, measurement and disposal of waste fluid, including blood, irrigation fluid and others, within a medical facility, through both domestic and international divisions. The company has achieved sales in five of the seven continents through both direct sales and distributor partners. For more information, please visit www.predictive-oncology.com.Forward-looking StatementsPortions of the narrative set for this this document that are not statements of historical or current facts are forward-looking statements, in particular, the commercial outlook provided above. Our actual future performance may materially differ from that contemplated by the forward-looking statements as a result of a variety of factors.These factors include, in addition to those mentioned elsewhere herein: 
We may not be able to continue operating without additional financing;Current negative operating cash flows;The terms of any further financing, which may be highly dilutive and may include onerous terms;Risks related to the 2019 merger with Helomics including; 1) significant goodwill could result in further impairment; 2) possible failure to realize anticipated benefits of the merger; 3) costs associated with the merger may be higher than expected; 4) the merger may result in the disruption of our existing businesses; and 5) distraction of management and diversion of resources;Risks related to our partnerships with other companies, including the need to negotiate the definitive agreements; possible failure to realize anticipated benefits of these partnerships; and costs of providing funding to our partner companies, which may never be repaid or provide anticipated returns;Risks related to the transaction with Quantitative Medicine including: 1) completion of the transaction; 2) possible failure to realize anticipated benefits of the merger; 3) costs associated with the merger may be higher than expected; 4) the merger may result in the disruption of our existing businesses; and 5) distraction of management and diversion of resources;Risk that we will be unable to complete the transaction with InventaBio Tech;Risk that we will be unable to protect our intellectual property or claims that we are infringing on others’ intellectual property;The impact of competition;Acquisition and maintenance of any necessary regulatory clearances applicable to applications of our technology;Inability to attract or retain qualified senior management personnel, including sales and marketing personnel;Risk that we never become profitable if our product is not accepted by potential customers;Possible impact of government regulation and scrutiny;Unexpected costs and operating deficits, and lower than expected sales and revenues, if any;Adverse results of any legal proceedings;The volatility of our operating results and financial condition, and,Other specific risks that may be alluded to in this report.Contact:
Predictive Oncology, Inc.
Consolidated Balance Sheets

Predictive Oncology, Inc.
Consolidated Statements of Operations

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