The "Innovations in Renewable Energy Generation, Desalination, Artificial Intelligence, LEDs, and Vaccines" report has been added to ResearchAndMarkets.com's offering. This edition of the Inside R&D TechVision Opportunity Engine (TOE) features an innovation for enhancing digital imaging in deep learning and an innovation based on using novel receptors for mitigating vector borne diseases. The TOE also provides intelligence on the efficient conversion of carbon dioxide in to value added products and the use of passive solar power for desalination. The TOE also features innovations based on the use of sustainable materials for oil water separation and environment friendly materials that can be used in the construction industry. The TOE additionally provides insights on numerous AI-based solutions for detection of cyber attacks, accurate assessment of diseases, and for the improvement of haptic feedback during telerobotic surgeries.

AIkido Pharma Incorporated (Nasdaq: AIKI) today announced the addition of Andreas Typaldos to the Company's Advisory Board. Mr. Typaldos is a pioneer software and technology entrepreneur, and a private equity investor through a Typaldos Family Office. Also, together with leading scientists in Drug Development at Tufts University and the Fudan University in Shanghai and the Shanghai Center for Drug Discovery and Development, he is on the Board of Directors of Quantitative Cell Diagnostix, www.qcd-x.com, In the past, Mr. Typaldos was founder, founding investor, Board Member, and Chief Executive of a number of software, technology, consulting services, and internet companies, including: Anthony Hayes, CEO of AIkido, noted "Mr. Typaldos is an industry leader in Artificial Intelligence and Machine Learning. His participation on our advisory board will help the Company expand its Artificial Intelligence (AI) and Machine Learning (ML) presence in the drug development field. We are honored he has agreed to lend his expertise and we are excited to work with him."

Tackling cancer is one of the most significant public health challenges of the 21st century, and accurately detecting the presence of tumors is an essential part of this challenge.Tel Aviv-based Ibex Medical Analytics supports medical professionals through its AI-based technology, which is designed to be used in routine clinical practice.Ibex's Galen Prostate solution helps identify suspected cancer on prostate core-needle biopsies. It just received the CE-IVD Mark, the company announced last Thursday, marking the first time one of its products has received the certification of conformity to EU health, safety and protection standards.Ibex provides an important contribution in facing two challenges, the shortage of pathologists and the occurrence of human errors, CEO Joseph Mossel told The Jerusalem Post."When a person shows potential symptoms of cancer, the next step is a biopsy, an analysis of a sample of the affected tissues," he said. "The examination of the sample has to be carried out by a pathologist using a microscope. Pathology is a complex medical discipline that requires years of training, and the world is facing a shortage of these specialists, even in countries such as the US and the UK. There is a growing gap between supply and demand."Galen

WIRE)-- Canon Medical Systems USA, Inc. has received 510(k) clearance on its Advanced intelligent Clear-IQ Engine (AiCE) for the Vantage Galan 3T MR system, further expanding access to its new Deep Learning Reconstruction (DLR) technology. This technology, which is also available across a majority of Canon Medical's CT product portfolio, uses a deep learning algorithm to differentiate true MR signal from noise so that it can suppress noise while enhancing signal, forging a new frontier for MR image reconstruction. AiCE was trained using vast amounts of high-quality image data, and features a deep learning neural network that can reduce noise and boost signal to quickly deliver sharp, clear and distinct images, further opening doors for advancements in MR imaging. "AiCE utilizes a next generation approach to MR image reconstruction, further proving Canon Medical's leadership and commitment to innovation in diagnostic imaging," said Jonathan Furuyama, managing director, MR Business Unit, Canon Medical Systems USA, Inc. "With the expansion of this unique DLR method across modalities and into MR, we're elevating diagnostic imaging capabilities for our customers by bringing the power of AI to routine imaging to provide more possibilities in improving patient care than ever before." Canon Medical Systems USA, Inc., headquartered in Tustin, Calif., markets, sells, distributes and services radiology and cardiovascular systems, including CT, MR, ultrasound, X-ray and interventional X-ray equipment.

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

The model is based on convolutional neural networks, a recent technique which have been proven to be very effective for various types of tasks. In particular, deep neural networks-based models outperform all previous approaches for image segmentation. However, 3D reconstruction from 2D images is still challenging for neural networks, due to the difficulty of representing a dimensional enlargement with standard differentiable layers. Reconstruction of bone surfaces in particular is extremely challenging, due to the transparent nature of the X-ray images. The main usage of the 3D model is for planning and accurate measurements that are needed to precise fit of the implant or for patient specific intraoperative guidance.

IDC has published a new IDC Innovators report titled, IDC Innovators: Artificial Intelligence--Powered Automation Solution Providers in Asia/Pacific (Excluding Japan), profiling four companies that provide artificial intelligence (AI)-powered automation solutions. The four companies are: Active.AI, Clobotics, Taiger, and X0PA. AI-powered automation solution or intelligent automation is much more than intelligent robotic process automation (RPA). It is a way to support, augment, and sometimes automate many aspects of a knowledge worker--s tasks to improve operational efficiency, increase robustness and flexibility, create space for the workforce to release their creative intelligence, and kick-start the man--machine collaborative learning cycle. The rise of intelligent automation has reduced the need for human oversight over many business processes, as more technology vendors work to re-engineer complex workflows and processes.

Service Objects, the leading provider of real-time global contact validation solutions, announced it is delivering enhanced results for contact data validation by coupling artificial intelligence (AI) capabilities with its extensive network of over 300 data sources. This combination makes these services the most complete and accurate contact validation APIs available today. Service Objects' APIs allow customers to validate global contact information within their software platforms. These services can verify a contacts' name, global address, phone, email address and device simultaneously against hundreds of authoritative data sources, all in less than a second. Service Objects' services work with a process of adaptive machine learning that continually improves their capabilities, leveraging the results of previous transactions.

This legislation would accelerate and coordinate Federal investments and facilitate new public-private partnerships in research, standards, and education in artificial intelligence, in order to ensure the United States leads the world in the development and use of responsible artificial intelligence systems. "The United States must act now to cement our global leadership in artificial intelligence and ensure the development and adoption of trustworthy AI systems," said Chairwoman Johnson. "We can accomplish this by accelerating our investments in research, development, and the education and training of an AI workforce, all governed by principles of ethics, safety, security, fairness, and transparency. That is exactly what H.R. 6216 seeks to do. I want to thank Ranking Member Lucas for joining me in the development and introduction of this important legislation and the many stakeholders who advised us during its development."

NEC Corporation has announced that it will be collaborating with Siemens to provide artificial intelligence (AI) monitoring and analysis. In a press release, NEC said that the collaboration will provide a solution for manufacturing that connects MindSphere, the cloud-based, open IoT operating system from Siemens, and NEC's System Invariant Analysis Technology (SIAT). According to the agreement that was signed by the two companies, NEC will be joining the MindSphere Partner Program, which can provide NEC with access to specialised technical training and support from Siemens as well as a number of joint go-to-market capabilities. Last April, Siemens announced the availability of Mendix, its low-code enterprise app development platform, on its MindSphere system. The move focused on offering essential support that is needed to easily test, develop and deliver MindSphere applications.