Enterprise IoT, those connected devices you increasingly find on your organization's network like printers, VoIP phones, smart boards and TVs inside your network, is growing at a massive rate and is expected to reach USD 58 billion by 2023. These devices represent an uncontrolled risk that the majority of organizations don't have visibility into. The next generation of IoT is becoming more than a group of devices, and has morphed into mission critical enterprise-wide services that leverage edge-computing and modern hybrid architectures. This new paradigm requires high levels of uptime and most importantly improved security measures. Further exacerbating the risk, IoT and Security teams seldom, if ever, collaborate on IoT strategy and deployment.
DALLAS, TX / ACCESSWIRE / July 27, 2020 / Perimeter Medical Imaging, AI Inc. (TSXV:PINK) today announced the installation of their OTISTM device at the University of Texas MD Anderson Cancer Center (MD Anderson), to further develop ImgAssist AI technology marking an important milestone in this collaboration and Perimeter's ATLAS AI Project. Initiated in mid-July, the ATLAS AI Project allows Perimeter to collaborate with industry-leading cancer care centers that will use OTIS - its proprietary ultra-high resolution imaging platform - to collect images of breast tumors from approximately 400 patients for the purpose of training and testing Perimeter's ImgAssist AI technology. This technology, which is currently under development, is designed to utilize a machine learning model to help surgeons identify, in real-time, if cancer is still present when performing breast-conserving surgery (lumpectomy). This study was made possible, in part, by a $7.4 million grant awarded by the Cancer Prevention and Research Institute of Texas (CPRIT), a leading state body funding cancer research. Jeremy Sobotta, President and CFO stated, "Initiation at MD Anderson is an important milestone in part one of our ATLAS AI Project and marks the next step in our development and clinical validation efforts for our ImgAssist AI software. MD Anderson is one of the largest breast cancer centers in the United States, treating approximately 40,000 patients a year, and is a valued collaborator as we strive to help physicians improve surgical outcomes for breast cancer patients by providing an additional tool for real-time margin visualization and assessment."
BlackBerry is moving further into the automotive space with its latest announcement of a partnership with electric vehicle startup Canoo. BlackBerry will be providing its QNX embedded system platform to Canoo to serve as the operating system for its fleet of semi-autonomous electric vehicles, which are due out in 2021. Canoo is a California-based startup building EVs with a novel goal in mind: Providing a membership-based vehicle rental program that charges a flat rate for a bundle of services, including insurance, vehicle registration, and the Canoo vehicle itself. BlackBerry's role in the partnership involves licensing its QNX technology, along with the QNX OS for Safety 2.0, to Canoo to use as the backbone of its automated driver-assistance systems (ADAS). Canoo's vehicles will be equipped on launch with level 2 autonomous features.
MCG Health, part of the Hearst Health network, announces it has successfully piloted its new machine learning solution, Indicia for Effective Focus, and it is now available for licensing. MCG is partnering with five major hospital systems for continued development and enhancement of this solution: Avera McKennan Hospital, Baptist Health System, Erlanger Health System, Franciscan Alliance, and IU Health. Indicia for Effective Focus prioritizes utilization management worklists based on the probability of appropriate patient placement, as well as the potential negative financial impact due to untimely decision making. The platform leverages MCG's extensive clinical evidence base, real-time data from the EHR (electronic health record), and machine learning technology to guide the case prioritization. Crissa Mulkey, Director of Utilization Management at IU Health said, "Indicia for Effective Focus shows an intuitive understanding of UM users, as well as how UM, or utilization review, is performed. It is a refreshing change."
The growth of digital banking has opened up a wealth of opportunities for making the world of finance more accessible and transparent to a greater number of people. But the darker underbelly is that it has also created more avenues for illicit activity to flourish, with some $2 trillion laundered annually but only 1-3% of that sum "caught". To help combat that, a London-based startup called ComplyAdvantage, which has built an AI platform and wider database of some 10 million entities to help identify and track those involved in financial crime, is today announcing a growth round of funding of $50 million expand its reach and operations. Specifically, the plan will be to use the funding for hiring, to invest in the tools it uses to detect entities and map the relationships between them, and to bring on more clients. "We've been focused on more granular analysis and being able to scale to hundreds of millions of searches across our database," said Charles Delingpole, founder and CEO, said in an interview.
Civica has announced that it has signed a five-year contract with two of Victoria's metropolitan libraries: Eastern Regional Libraries Corporation (ERLC) and Yarra Plenty Regional Libraries (YPRL). Under the contracts, each library will implement Civica's Spydus library management system (LMS), which will allow them to deliver services such as book and e-resources lending, community classes, research services, and improve staff communication. ERLC CEO Jospeh Cullen explained how LMS would eliminate the need for separate products in maintaining business processes, such as staff rostering. "Our current product does not offer the same API integration with third-party best-of-breed products, or our own in-house developed catalogue interface and computer booking system. The [Spydus] platform will allow fuller integration with best of breed products like Overdrive and other e-content providers, events' bookings, our RFID self-checkout kiosks, and OptimoRoute," he told ZDNet.
Usually, you pop up in an exhibition, coming from vivid streets to the Silent Hall of art. The exhibition pops up where you are, suddenly, amidst your next Zoom call, or while you are checking your emails. And you are exposed to it. In these crazy pandemic times, they found a perfect way to present art, without put the visitors in danger to be Corona'ed: Plug-In. You install a plug-in to your browser, and every hour another artwork overfloods your PC windows.
The fourth wave of the industrial revolution, known as Industry 4.0, connects industrial devices and permits organizations to use arranged information from IoT gadgets and PC controlled frameworks. Applying Artificial Intelligence (AI) and Machine Learning (ML) to this information makes fully automated smart factories, smart cities and more. Industry 4.0 is all about being digitally enabled and data driven, bringing together new technologies and compute services across edge and cloud assets to drive productivity, create new business models, and innovate faster. These technologies include everything from advanced analytics and AI to augmented reality, digital twins, and industrial IoT platforms, and, together serve the core needs of the manufacturing sector. IoT and Industrial IoT power mission-critical applications that require high reliability and unwavering quality.
An illuminated 5G sign hangs behind a weave of electronic cables on the opening day of the MWC ... [ ] Barcelona in Barcelona, Spain, on Monday, Feb. 25, 2019. At the wireless industry's biggest conference, over 100,000 people are set to see the latest innovations in smartphones, artificial intelligence devices and autonomous drones exhibited by more than 2,400 companies. At the core of this evolutionary step is the use of machine learning algorithms. The ability to be more dynamic with real-time network optimization capabilities such as resource loading, power budget balancing and interference detection is what made networks "smart" in the 4G era. While there are many uses of machine learning across all layers of a 5G network from the physical layer through to the application layer, the base station is emerging as a key application for machine learning.
Artificial intelligence (AI) is a buzzword in tech these days. The term, which encompasses a range of technologies including machine learning and data analysis. The goal is to create systems that can perceive, learn, and reason in ways that mimic human capabilities. At its best, AI will allow machines to understand the gestalt of a situation and react accordingly, a capability that humans take for granted – but has tends to elude computer systems, which in their turn excel at analyzing minute details. A wide range of tech companies are working on AI systems; artificial intelligence holds the promise of real-time data analysis and situation monitoring, with the machines capable of handling routine decisions.