CHICAGO, Ill., Sept. 10, 2019 (SEND2PRESS NEWSWIRE) -- Aclaro Inc., the game-changing Artificial Intelligence software company that provides disruptive technologies to the automotive, financial, and government sectors, announces a new Board Member and the release of Aclaro EcoSystem 3.0 (ES 3.0). With these announcements, Aclaro continues rapid advancement toward its overarching mission of helping lenders, dealers and consumers develop and nurture longer mutually beneficial relationships. Introducing New Board Member Peter M. Leger Aclaro has appointed auto industry expert Peter M. Leger as its newest Board Member. Leger is the founder and CEO of IVSG LLC, a provider of disruptive technology that empowers automotive retailers and original equipment manufacturers ("OEMs"). He and his team recently launched GlobalConnectPlatform (GCP3) and partnered with PickCloud/Googleto distribute the software to the global automotive retail sector.

Wouldn't it be fabulous to know for sure that an article you read online is authentic and contains trusted sources? If everyone used AI to fact check, fake news and data could be eliminated permanently from online news sites. Menlo Park, CA-based AI startup, Diffbot has announced an official partnership with the European Journalism Centre to combat fake news. The company is the only other US company aside from Microsoft and Google to crawl and index the entire web to create its Knowledge Graph. Journalists can access the DKG through the Data Journalism platform created by the European Journalism Centre to provide resources, materials, online courses and community forums for data journalists all over the world.

Caption: Paramedics respond to an emergency. Scientists have developed an artificial intelligence tool that lets doctors determine whether someone is having a heart attack much faster than current methods. New research published by healthcare firm Abbott shows that its algorithm could enable hospital accident and emergency departments to more accurately identify and treat patients having a cardiac arrest. The study, which involved researchers from the U.S., Germany, U.K., Switzerland, Australia and New Zealand and more than 11,000 patients, found that AI could provide doctors a more comprehensive analysis of the probability that a patient was having a heart attack. Agim Beshiri, a senior medical director at Abbott, said: "AI technology has the capability to consider many variables, characteristics and data points and combine them in seconds into meaningful results. "Because of today's advancements in computational power and AI applications, healthcare stands to benefit greatly by this approach where clinicians have to do this with their patients every day." Developed by a team of physicians and statisticians at Abbott, the algorithm uses machine learning techniques to enable a more individualized calculation of a person's heart attack risk. The technology aims to improve and quicken heart attack diagnosis by analyzing extensive datasets and identifying factors such as age, sex and a person's specific troponin levels (a cardiac biomarker). Abbott said the algorithm is designed to help address two barriers that exist today for doctors looking for more individualized information when diagnosing heart attacks. The first is that international guidelines for using highly sensitive troponin tests don't always account for personal factors, impacting test results. And the second is that while these guidelines recommend that doctors carry out troponin testing at fixed times, they don't consider a person's age or sex and put patients into a one-size-fits-all situation. However, Abbott's algorithm differs from existing approaches as it takes into consideration personal factors and troponin blood test results over time. Beshiri added: "The World Heart Organization estimates that 17.9 million people die from cardiovascular disease each year, and 85% are due to heart attacks and strokes.

Caption: Paramedics respond to an emergency. Scientists have developed an artificial intelligence tool that lets doctors determine whether someone is having a heart attack much faster than current methods. New research published by healthcare firm Abbott shows that its algorithm could enable hospital accident and emergency departments to more accurately identify and treat patients having a cardiac arrest. The study, which involved researchers from the U.S., Germany, U.K., Switzerland, Australia and New Zealand and more than 11,000 patients, found that AI could provide doctors a more comprehensive analysis of the probability that a patient was having a heart attack. Agim Beshiri, a senior medical director at Abbott, said: "AI technology has the capability to consider many variables, characteristics and data points and combine them in seconds into meaningful results.

The use of machine learning (ML) can produce forecasts that are more accurate than standard statistical methods, research published by the Reserve Bank of India finds. They focus on forecasting CPI inflation and its components.

Ursula von der Leyen, the incoming president of the EU's powerful executive arm, promoted Vestager to a commission executive vice-president overseeing the EU's digital innovation and leadership efforts, including artificial intelligence. "Margarethe Vestager will coordinate the whole agenda and be the commissioner for competition," von der Leyen said at a press conference . Von der Leyen has said that by the end of her first 100 days in office, she wants to draw up legislation for a European approach on the "human and ethical implications" of artificial intelligence. The Computer & Communications Industry Association, a lobby group with members including Google, Facebook and Amazon, reacted cautiously to Vestager's reappointment. "We encourage the new Commissioners to assess the impact of all the recent EU tech regulation to ensure that future legislation will be evidence-based, proportionate and beneficial," it said in a statement.

You're a patient about to undergo heart surgery, but the surgeon performing the procedure hasn't turned up at the hospital and, in fact, is still 20 miles away at the time that the operation is due to be carried out. Not at all, if it's anything like a recently reported world's-first procedure carried out by a surgeon in India. Using a robot called the CorPath GRX, created by a company named Corindus, five patients were the recipients of the first remote. The robot was controlled using a workstation with multiple joysticks, which allowed the surgeon to control the robot in real time while getting visual feedback in the form of livestreaming video showing what it was seeing. The procedure performed was something called (PCI), in which a small structure called a stent is used to open blood vessels in the heart that have been narrowed by plaque buildup.

You're a patient about to undergo heart surgery, but the surgeon performing the procedure hasn't turned up at the hospital and, in fact, is still 20 miles away at the time that the operation is due to be carried out. Not at all, if it's anything like a recently reported world's-first procedure carried out by a surgeon in India. Using a robot called the CorPath GRX, created by a company named Corindus, five patients were the recipients of the first remote. The robot was controlled using a workstation with multiple joysticks, which allowed the surgeon to control the robot in real time while getting visual feedback in the form of livestreaming video showing what it was seeing. The procedure performed was something called (PCI), in which a small structure called a stent is used to open blood vessels in the heart that have been narrowed by plaque buildup.

Some people say that publishing has already been disrupted, that this current state is the new model. But I don't think the disruption has even started yet. As Jeff Bezos says, "it's always Day One." In the last ten years, we've seen the rise of digital publishing, print on demand, and the independent author movement, as well as the growth of streaming audio and the use of internet marketing tools like Facebook and Amazon Ads to sell more books. In this episode, I'll talk about some of the possible disruptions to come for authors and the publishing industry due to the rise of Artificial Intelligence (AI) in the next 10 years. This episode is sponsored by my Patrons, authors who are passionate about the future of publishing and help support my time in producing episodes like this. Ten years ago, when I started self-publishing, I was over-the-top excited about the potential of ebooks (see my embarrassing video here!). I could see the incredible possibilities as a creator to reach the whole world with my words. Since starting out in 2008, I have built a multi-six-figure business as an author-entrepreneur, taking action on that feeling of optimism and learning everything I needed to know to write, publish, market, and make a living with my writing.

We are happy to announce the SpeechBrain project, that aims to develop an open-source and all-in-one toolkit based on PyTorch. The goal is to develop a single, flexible, and user-friendly toolkit that can be used to easily develop state-of-the-art speech systems for speech recognition (both end-to-end and HMM-DNN), speaker recognition, speech separation, multi-microphone signal processing (e.g, beamforming), self-supervised learning, and many others. The project will be led by Mila (Montréal) and is sponsored by Samsung, Nvidia, and Dolby. SpeechBrain will also benefit from the collaboration and expertise of other partners such as Avignon Université, Facebook/PyTorch, IBM Research, and Fluent.ai. Reddit is an awesome place to discuss, so please, let us know what you would like to see implemented for the speech community!