Until now, few companies outside of Google and Facebook have had the AI foresight and resources to leverage graph embeddings. This powerful and innovative technique calculates the shape of the surrounding network for each piece of data inside of a graph, enabling far better machine learning predictions. Neo4j for Graph Data Science version 1.4 democratizes these innovations to upend the way enterprises make predictions in diverse scenarios from fraud detection to tracking customer or patient journey, to drug discovery and knowledge graph completion. Caption: Graph embeddings are a powerful tool to abstract the complex structures of graphs and reduce their dimensionality. This technique opens up a wide range of uses for graph-based machine learning.

Neo4j, the leader in graph technology, announced the latest version of Neo4j for Graph Data Science, a breakthrough that democratizes advanced graph-based machine learning (ML) techniques by leveraging deep learning and graph convolutional neural networks. Until now, few companies outside of Google and Facebook have had the AI foresight and resources to leverage graph embeddings. This powerful and innovative technique calculates the shape of the surrounding network for each piece of data inside of a graph, enabling far better machine learning predictions. Neo4j for Graph Data Science version 1.4 democratizes these innovations to upend the way enterprises make predictions in diverse scenarios from fraud detection to tracking customer or patient journey, to drug discovery and knowledge graph completion. Neo4j for Graph Data Science version 1.4 is the first and only graph-native machine learning functionality commercially available for enterprises.

The Presidency of the Council issued presidency conclusions on the charter of fundamental rights in the context of artificial intelligence and digital change. The text was supported or not objected to by 26 delegations. These conclusions are designed to anchor the EU's fundamental rights and values in the age of digitalisation, foster the EU's digital sovereignty and actively contribute to the global debate on the use of artificial intelligence with a view to shaping the international framework. The Presidency conclusions focus on a fundamental-rights based approach to artificial intelligence and provide guidance on dignity, freedoms, equality, solidarity, citizens' rights and justice.

The European Parliament is among the first institutions to put forward recommendations on what AI rules should include with regards to ethics, liability and intellectual property rights. These recommendations will pave the way for the EU to become a global leader in the development of AI. The Commission legislative proposal is expected early next year. The legislative initiative by Iban García del Blanco (S&D, ES) urges the EU Commission to present a new legal framework outlining the ethical principles and legal obligations to be followed when developing, deploying and using artificial intelligence, robotics and related technologies in the EU including software, algorithms and data. It was adopted with 559 votes in favour, 44 against, and 88 abstentions.

Aidoc announced today that the US Food and Drug Administration (FDA) has given regulatory clearance for the commercial use of its triaging and notification algorithms for flagging and communicating incidental pulmonary embolism . Flagging incidental, critical findings is a huge technical challenge due to the varied imaging protocols used and lower incidences of such cases. The ability to prioritize incidental critical conditions accurately is a breakthrough in the value AI can bring to the radiologist workflow. "The most common use case we experienced is for critical unsuspected findings in oncology surveillance patients" said Dr. Cindy Kallman, Chief, Section of CT at Cedars-Sinai Medical Center. "The ability to call the referring physician while the patient is still in the house is huge. We are essentially offering a point-of-care diagnosis of PE for our outpatients. Our referring physicians have been completely wowed by this."

A computer tool led to the creation of thousands of fake nude photos of women -- some of them underage -- without their consent that were then uploaded to the messaging app Telegram, The Washington Post reported. Sensity, a visual threat intelligence company headquartered in Amsterdam, discovered the Telegram network. There are 101,080 members in the network, and 70% of the group resides in Russia or Europe. About 104,852 images derived from pictures of more than 680,000 women were posted publicly to the app, with 70% of the photos coming from social media or private sources. A small number of victims appeared to be underage.

HALIFAX, NS- - Fundmetric is proud to announce that Texas Tech University System (TTUS) has chosen Fundmetric as their artificial intelligence platform to increase fundraising revenue for the institution. The Fundmetric platform helps nonprofits move into the data-driven era by providing state of the art data capture infrastructure. TTUS has sought a long term partnership with Fundmetric that will futureproof the institution in the years to come. Fundmetric is leading the way for nonprofits that recognize the power of recurring revenue. Fundmetric CEO Mark Hobbs said, "the changing donor demographics require institutions to focus on creating sustainable cash flow and meaningful long term relationships. We are proud to welcome Texas Tech University System to the Fundmetric family."

Drones have already shown that they can reliably deliver vital shipments of blood across Rwanda, drop off prescriptions to senior citizens in Florida, and help quarantining families stay safe with contactless deliveries. Now they're going to be buzzing through the skies of rural North Carolina thanks to a novel delivery service devised by drug-maker Merck and drone-maker Volansi. The plan is simple: use Volansi's 7-foot long "Gemini" quadcopter to ferry packages of cold chain medicines -- such as vaccines, glaucoma treatments, insulin, and asthma inhalers -- from Merck's Wilson, NC drug lab to the nine regional hospitals that make up Vidant Healthplex-Wilson. This medical network serves more than 1.4 million people across 29 counties in eastern North Carolina. "We've seen the world's supply chain strained like never before from the impact of Coronavirus," said Hannan Parvizian, CEO of Volansi, said in a press statement.

Investor demand for innovative emerging companies remains strong with Australian AI tech startup Tiliter completing a $7.5 million capital raise, led by Investec Emerging Companies (IEC). Eleanor Venture, a tech investment syndicate for angel investors, and New York's Cornell University also participated in the funding round. Tiliter is a leading artificial intelligence (AI) provider whose technology uses computer vision to recognise products without barcodes. Its technology automatically identifies items, such as fresh produce, without the need for barcodes, packaging, and price stickers, making it easier for shoppers to manage during self-checkout. Tiliter is currently focused on the Supermarket vertical and its camera and software system uses AI to pre-select items and remove the need for manual entry, with over 99% accuracy and in under one second.

French energy company Total has developed a tool to determine solar energy's potential of rooftops. Partnering with Google Cloud, the tool will help popularise the deployment of solar energy panels in households. The tool Solar Mapper uses artificial intelligence (AI) algorithm to extract data from satellite images. AI helps facilitates sharper and quicker estimation of solar energy potential than present tools, the company said in an official statement. The tool will also guide households to understand what technology would need to be installed depending on solar energy requirements.