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AI registers: finally, a tool to increase transparency in AI/ML - KDnuggets

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Transparency, explainability, and trust are big and pressing topics in AI/ML today. Nobody wants to find themselves at the receiving end of a black box system that makes consequential decisions (e.g., about jobs, healthcare, citizenship, etc.), especially if those decisions are unfair, biased, or just plainly not in our favor. And most organizations agree that consumer trust and confidence that AI is being used ethically and transparently are keys to unlocking its true potential. And while there are literally hundreds of documents describing and prescribing AI principles, frameworks, and other good things, there haven't been any practical tools that could help with implementing transparency. On September 28, 2020, the Cities of Helsinki and Amsterdam jointly announced the launch of their public AI registers.


NAB partners with credit risk AI specialist

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National Australia Bank (NAB) has signed an agreement with artificial intelligence (AI) specialist Rich Data Corporation to use its AI prediction and decisioning capability software Delta. Under the agreement, NAB would use Delta's credit risk management capability, which links traditional and alternative data sources to provide prediction and credit decisions, for its SME customers with little or no credit history or who might fall outside traditional credit bureau criteria. The capability will also use analytics and monitoring tools to identify portfolio risks and opportunities to support businesses that experience major change from events like the coronavirus pandemic. Commenting on the partnership with Rich Data Corporation, NAB executive innovation and partnerships Howard Silby said: Their Delta platform will enable us to innovate and accelerate our lending options, leveraging alternative data and AI techniques and providing a means to assess SMEs who fall outside traditional credit models. "We remain committed to finding new ways to serve and meet the needs of our small-business customers, as we pioneered with our NAB QuickBiz offering in 2016 and several innovations since."


Confusion Between Artificial Intelligence (AI) and Robotic Process Automation (RPA) High Among Healthcare Leaders

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Aggressive marketing language can often drive a lack of clarity around technical concepts. Somewhat surprising, is that confusion between RPA and AI is high even among organizations that have automation in place and have likely gone through the diligence and/or request for proposal (RFP) process to select their automation solution. More than 50 percent of CFOs and revenue cycle leaders in organizations that are actively using automation say they consider RPA to be a form of artificial intelligence. "RPA based bots can be good tools for automating simple, discrete, and static tasks," said Varun Ganapathi, co-founder and Chief Technology Officer at Alpha Health. "AI and machine learning based technologies are capable of automating much more complex tasks that require some degree of judgment or subject matter expertise. Additionally, AI and machine learning based solutions can have the ability to navigate changes or new variables without the need to reprogram or recode a bot every time something changes."


Orange confirms its commitment to inclusive artificial intelligence

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At a time when artificial intelligence algorithms are increasingly prevalent in our everyday lives (recruitment, customer relations, recommending content, banking and insurance, etc.), it is vital for Orange to ensure that the entire data value chain is managed responsibly and that potential discriminatory biases are identified and eliminated. The audit, carried out by Bureau Veritas, assessed Orange for its actions aimed at designing, developing and using inclusive artificial intelligence to promote diversity and avoid risks of discrimination before awarding the certification. The GEEIS-AI repository offers a way to raise awareness among the entire AI production chain, from design to operating the end product. In this way, a wide range of job lines and skills are at the service of the entire Orange ecosystem. This applies, in particular, to human resource management processes to guarantee they are not biased while encouraging diversity in AI job lines.


Bangkok Bank Co-Develops Thai Language AI Chatbot With Pand.ai - Fintech Singapore

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Bangkok Bank PLC announced the launch of its Thai language Artificial Intelligence (AI) powered chatbot that was built in-house in a joint collaboration with Singapore-based fintech startup Pand.ai. The chatbot called TT01 was a result of Bangkok Bank's innovation programme, InnoHub. The development began earlier this year and the chatbot was fully completed in October. The solution will be available to clients of Pand.ai. Meanwhile, Bangkok Bank will use this as a digital sales assistant on LINE for their sales and relationship managers, scheduled to launch in Q1 2021.


EU Boosts Evaxion's Artificial Intelligence Vaccine Research

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* EIB signs โ‚ฌ20ย million (DKKย 149ย million) loan agreement with Danish research and development company Evaxion Biotech A/S. * Evaxion will use financing for research and development into its proprietary artificial intelligence platforms used to identify novel vaccine and immunotherapy targets. * Transaction supported by European Commission through InnovFin โ€“ EU finance for innovators program, under the Infectious Diseases Finance Facility window. LUXEMBOURG and COPENHAGEN, Denmark, Dec. 09, 2020 (GLOBE NEWSWIRE) -- The European Investment Bank (EIB) has signed a โ‚ฌ20ย million loan agreement with Evaxion, supported by the Infectious Diseases Finance Facility window under the EUโ€™s InnovFin โ€“ EU finance for innovators program, backed by the EUโ€™s research and innovation program Horizon 2020, which guarantees EIB loans for highly innovative projects. The financing will support Evaxionโ€™s research and development (R&D) investments in the use of artificial intelligence (AI) to determine the most suitable targets for immunotherapies for cancer and infectious diseases.The main focus of the research, Evaxionโ€™s proprietary AI-based platforms, could potentially transform the drug discovery process for vaccines and immunotherapies. In particular, the infectious disease programs targeting Staphylococcus aureus and Pseudomonas aeruginosa aim to identify novel vaccines to address the resistance to common treatments developed by these pathogens. The EU financing will support the investments in Evaxionโ€™s AI platforms, as well as its pre-clinical and clinical activity.Lars Wegner, CEO of Evaxion, said: โ€œThis loan agreement with the EIB underpins Evaxionโ€™s position as a leader in the utilization of AI for discovery and development of novel vaccines and immunotherapies, and supports important research and development within our key programs. We are proud to be entering into this agreement with EIB, which is an example of critical financing being used to address some of the biggest challenges to human health.โ€EIB Vice-President Christian Kettel Thomsen stated: โ€œAs the EU bank, the EIB strives to ensure that high impact projects receive the financing they need. The EIB is delighted to be supporting Evaxion. The use of AI in the development of vaccines and immunotherapies is true innovation and is perfectly in sync with the EIBโ€™s overarching priority: improving peopleโ€™s lives. In recent years, the Bankโ€™s investments in Denmark have been able to support many innovative companies, of which this is an excellent example.โ€ Mariya Gabriel, European Commissioner for Innovation, Research, Culture, Education and Youth, added: โ€œProtecting the health of our citizens and leading the digital transformation are key priorities underpinning Europeโ€™s prosperity and growth. This EU-backed loan for Evaxionโ€™s research using AI may help to transform the drug discovery process to treat cancer and infectious diseases.โ€The project not only strengthens European R&D, but is also contemplated to have an impact on the safeguarding and creation of highly skilled jobs in the EU. The research will be wholly carried out in Denmark, and is expected to contribute to technological advancements in artificial intelligence and its applications in healthcare. As such, the project is expected to bring important social benefits in terms of advances in research and alleviating the burden placed on healthcare services by the increased incidence of multi-resistant pathogens.Background Information:The European Investment Bank (EIB) is the long-term lending institution of the European Union owned by its Member States. It makes long-term finance available for sound investment in order to contribute towards EU policy goals. In 2019, the Bank provided over โ‚ฌ850ย million in loans for Danish projects in various sectors, including services, innovative industry and small and medium-sized enterprises.Under Horizon 2020, the EU research and innovation framework program for 2014-2020, the Infectious Diseases Finance Facility (IDFF) provides financial products ranging from standard debt to equity-type financing for amounts typically between โ‚ฌ7.5ย million and โ‚ฌ75ย million to innovative players active in developing innovative vaccines, drugs, medical and diagnostic devices or novel research infrastructure for combating infectious diseases. Project costs may include clinical trial costs, set-up of commercialization such as market access, development of prototypes or industrial roll-out of novel equipment, pre-clinical R&D costs and working capital requirement. This facility is delivered directly by the EIB, which has so far provided โ‚ฌ241ย million under the InnovFin IDFF.About Evaxion Evaxion Biotech A/S is an AI-immunologyโ„ข platform company decoding the human immune system to discover and develop novel, targeted immunotherapies to treat cancer and infectious diseases. Based on its proprietary and scalable AI-immunology core technology, Evaxion Biotech is developing a broad pipeline of novel assets which comprises three patient-specific cancer immunotherapies, two of which are in Phase 1/2 clinical development. In addition, the Company is advancing a portfolio of vaccines to prevent bacterial and viral infections with one program currently in preclinical development against S. aureus and skin and soft tissue infections (SSTI).Press contacts: European Investment Bank: Tim Smit, +352 691 286423, t.smit@eib.org European Commission: Flora Matthaes, +32 460 755148, flora.matthaes@ec.europa.eu Evaxion: Glenn S. Vraniak +1 (513) 476-2669, gvr@evaxion-biotech.com


METIS lands Neptune Lines fleet deal for AI-powered analytics

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Neptune Lines PCTCs feature METIS Ship Connect โ€“ the automated data acquisition solution whose accuracy is approved by Lloyds Register. The METIS platform uses a network of Wireless Intelligent Collectors to harvest machinery, navigation and operational data regardless of equipment supplier. Its ship performance analysis also integrates AIS data, data fetched from vessels' daily / arrival / departure regular reporting and weather forecasts to provide services such as automated noon reporting, analysis of technical and operational domains and weather-related reporting. Outputs include live dashboards showing the condition of main engines, diesel generators, ballast water treatment systems and other machinery as well as power and fuel consumption. However, the METIS platform also allows Neptune Lines management to visualize KPIs such as power vs speed under the full ship speed range and in all weathers using machine learning models and run'what if' routing scenarios to weigh up consequences for fuel and arrival times.


AWS expands on SageMaker capabilities with end-to-end features for machine learning โ€“ TechCrunch

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Nearly three years after it was first launched, Amazon Web Services' SageMaker platform has gotten a significant upgrade in the form of new features making it easier for developers to automate and scale each step of the process to build new automation and machine learning capabilities, the company said. As machine learning moves into the mainstream, business units across organizations will find applications for automation, and AWS is trying to make the development of those bespoke applications easier for its customers. "One of the best parts of having such a widely-adopted service like SageMaker is that we get lots of customer suggestions which fuel our next set of deliverables," said AWS vice president of machine learning, Swami Sivasubramanian. "Today, we are announcing a set of tools for Amazon SageMaker that makes it much easier for developers to build end-to-end machine learning pipelines to prepare, build, train, explain, inspect, monitor, debug and run custom machine learning models with greater visibility, explainability, and automation at scale." Already companies like 3M, ADP, AstraZeneca, Avis, Bayer, Capital One, Cerner, Domino's Pizza, Fidelity Investments, Lenovo, Lyft, T-Mobile, and Thomson Reuters are using SageMaker tools in their own operations, according to AWS.


The Morning After: SpaceX lines up a big test for the Starship

Engadget

The vehicle Elon Musk sees as the key to fast travel around the Earth and multiplanetary living has only taken short hops so far, but its next trip will reach 50,000 feet. The plan is to test out its aerodynamic capabilities and attempt a landing flip maneuver. SpaceX's stream begins at 7 AM, but stay tuned for more information on exactly when the test will go down if you want to watch live -- this could be historic. After multiple delays, CD Projekt Red's highly anticipated RPG (based on the table-top game of the same name) arrives on PC and consoles, and Jessica Conditt has spent about 20 hours in the world on Night City. The game is too deep for that to give a comprehensive view of what it contains (she took six hours to get beyond the prologue and meet Keanu Reeves) but more than enough to see if its 80s-tinged vision of the future holds up.


Digital stethoscope uses artificial intelligence for diagnosing lung abnormalities

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Stethoscopes are a ubiquitous and cost-effective tool for medical diagnosis, but they open the door to subjectivity and can experience high levels of environmental noise. This makes it difficult to properly diagnose lung abnormalities, like COVID-19, by listening to sounds from the body. James West, at Johns Hopkins University, has been developing a digital stethoscope equipped with artificial intelligence for accurate lung diagnoses. He will discuss its opportunities and obstacles at the 179th ASA Meeting.