Press Release
Week In Review: Auto, Security, Pervasive Computing
Huawei is also now the world's largest supplier of smartphones, surpassing Samsung Electronics Co. Qualcomm also announced a super-fast charging platform this week for Android devices that is supposed to charge a battery to 50% full in 5 minutes, and 100% full in 15 minutes. Xilinx wants to help drive open, interoperable, and adaptable Radio Access Network (RAN) 5G technologies. The company this week joined the Open RAN Policy Coalition, an organization that advocates for open and interoperable solutions in RAN. Xilinx is already a member of O-RAN alliance and is a contributor to the 3GPP specifications for 5G mobile networks. Xilinx offers silicon that supports multiple standards, bands, carriers and sub-networks for Open RAN, the company said in its press release.
Enhancing recommendation filters by filtering on item metadata with Amazon Personalize
We're pleased to announce enhancements to recommendation filters in Amazon Personalize, which provide you greater control on recommendations your users receive by allowing you to exclude or include items to recommend based on criteria that you define. For example, when recommending products for your e-retail store, you can exclude unavailable items from recommendations. If you're recommending videos to users, you can choose to only recommend premium content if the user is in a particular subscription tier. You typically address this by writing custom code to implement their business rules, but you can now save time and streamline your architectures by using recommendation filters in Amazon Personalize. Based on over 20 years of personalization experience, Amazon Personalize enables you to improve customer engagement by powering personalized product and content recommendations and targeted marketing promotions.
Datametrex Awarded Contract Extension With US Air Force, by @nasdaq
TORONTO, July 31, 2020 (GLOBE NEWSWIRE) -- Datametrex AI Limited (the "Company" or "Datametrex") (TSXV: DM, FSE: D4G) is pleased to announce that it has been successfully awarded a second contract in the United States defense industry, United States Air Force via Wright State Applied Research Corp. ("WSARC") on July 29, 2020. WSARC is provides contracting, security and research administration services for Wright State Research Institute, the University and the state of Ohio, and will head the U.S. Air Force Academic Partnership and Engagement Experiment (APEX) program. "This is a great example of renewable business for Datametrex. Getting a one-year contract extension shows that our technology is valued by the client, and marks progress in our plan to expand our mandate with the organization. Datametrex will continue to solidify our position as a trusted solution provider within the U.S. military departments."
AI-powered tool aims to help reduce bias and racially charged language on websites
Website accessibility tech provider UserWay has released an AI-powered tool designed to help organizations ensure their websites are free from discriminatory, biased, and racially charged language. The tool, Content Moderator, flags content for review, and nothing is deleted or removed without approval from site administrators, according to UserWay. UserWay's customers are using its AI-powered accessibility widget, an advanced AI-based compliance-as-a-service (CaaS) technology that ensures brands provide an accessible digital experience that meets strict governmental and ADA regulations, the company said. "Focusing on digital racism and bias is long past due, and our team is eager to contribute to the conversation positively," UserWay founder and CEO Allon Mason said in a statement. In June, Google announced that it would be reevaluating what it considers acceptable language, Mason noted. So far, Google has changed terms including "blacklist" to "blocked list," "whitelist" to "allowed list," and "master-slave" to "primary/secondary," among others, he said.
Perimeter Medical Imaging Announces Expansion of ATLAS AI Project with Installation of OTISTM for AI development at Leading Cancer Care Center, MD Anderson
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."
Global Big Data Conference
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."
New Machine Learning Features, Data Integrations, and Upgraded Classification Engines Available in Grooper Version 2.9
Grooper, the leading intelligent document processing and digital data integration platform announces the release of version 2.9. Included are fourteen new capabilities that enhance machine learning, classification, separation, data integration, and reporting. New Machine Learning Features Machine learning is easier and more powerful. The new Rebuild Training features provide tuning and A/B testing using identical training sets and document training decisions. Integration with Box Built-in integration with Box.com enables file import and export, metadata mapping, data lookups, and more.
Research Opens New Neural Network Model Pathway to Understanding the Brain
WIRE)--NTT Research, Inc., a division of NTT (TYO:9432), today announced that a research scientist in its Physics & Informatics (PHI) Lab, Dr. Hidenori Tanaka, was the lead author on a technical paper that advances basic understanding of biological neural networks in the brain through artificial neural networks. Titled "From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction," the paper was presented at NeurIPS 2019, a leading machine-learning, artificial intelligence (AI) and computational neuroscience conference, and published in Advances in Neural Information Processing Systems 32 (NIPS 2019). Work on the paper originated at Stanford University, academic home of the paper's six authors when the research was performed. At the time, a post-doctoral fellow and visiting scholar at Stanford University, Dr. Tanaka joined NTT Research in December 2019. The underlying research aligns with the PHI Lab's mission to rethink the computer by drawing inspirations from computational principles of neural networks in the brain.
WWT Named Partner of the Year for Deep Learning AI by NVIDIA
ST. LOUIS, MO – July 17, 2020 – World Wide Technology (WWT) today announced that it has been selected by the NVIDIA Partner Network (NPN) as the 2019 Deep Learning AI Partner of the Year for the Americas. This is the third year that WWT has been honored in this category. The NPN selected WWT for its ongoing AI research and development program. To help customers develop AI leadership, WWT published six white papers about leveraging the compute power of NVIDIA DGX systems to develop Machine Learning and Deep Learning models for real-time edge video analytics, network optimization, and performance comparisons of multiple reference architectures for ML model development. The WWT research into ML and Deep Learning is tied to real-world business outcomes, and improvements in mining safety, utilities grid optimization, and resource management for manufacturing.
GPT-3 Creative Fiction
What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.