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Oracle acquires DataFox, brings AI-based company data management to cloud apps

ZDNet

Oracle has announced plans to acquire data management and AI solutions provider DataFox. Financial details were not disclosed. Founded in 2013, San Francisco, CA-based DataFox is the developer of an artificial intelligence (AI)-based engine which automatically locates and pulls the most current information available on public and private businesses. The engine currently manages the information of over 2.8 million companies, with 1.2 million being added on an annual basis. See also: Larry Ellison pitches Oracle's Gen 2 Cloud as purpose-built for enterprise Customers, including Goldman Sachs, Bain & Company and Twilio, use the platform for account management, lead generation, and to keep customer-relationship management (CRM) solutions current.


Synechron deploys AI, data science applications for financial services firms

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Synechron Inc., a New York-based technology consulting and outsourcing firm, has started deploying data science and artificial intelligence-based applications for banking, financial services and insurance companies. These applications, or accelerators, will help financial services companies solve complex business problems by discovering relationships between events that impact one another and cause a future event to happen, the company said in a press release. Faisal Husain, co-founder and chief executive of Synechron, said the data science accelerators provide a powerful causation platform and business-driven use cases for four complex financial services challenges. Synechron said its s AI data science experts have developed a set of accelerators that allow financial services companies to address business challenges related to investment research generation, predicting the next best action for a wealth management client, high-priority customer complaints, and predicting risk on mortgage. The accelerators combine Natural Language Processing, Deep Learning algorithms and data science to solve problems.


New Redwood Software Research Reveals Market Giants Open up about Their Move towards Automation

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BURNHAM, United Kingdom--(BUSINESS WIRE)--Oct 22, 2018--Large-scale organisations are becoming increasingly open about the implementation of artificial intelligence (AI), robotic and automation technologies, according to research announced today by Redwood Software. Analysing the 2017/2018 annual reports of all 100 publically listed companies, 39 per cent mentioned the use of automation across the business, 34 per cent cited AI and 21 per cent of the reports nodded to the use of robotics. In comparison to last year's results, mentions of robotics were up 162 per cent, while references to AI more than tripled, highlighting a 386 per cent increase year-on-year. While all three technologies were raised across the reports for a variety of reasons, insurance company Aviva said it was looking to both AI and robotic automation to increasingly transform the efficiency of operations, as well as transform the customer experience. Meanwhile, online British supermarket Ocado mentioned AI, robotics and automation are helping drive innovation and create a sustainable technological advantage in an increasingly competitive market.


US DOT tells self-driving shuttle company to stop transporting kids

Engadget

Sorry kids, neither you nor robots can be trusted. The US Department of Transportation's National Highway Traffic Safety Administration (NHTSA) has told Transdev North America to stop hauling children around in its EZ10 Generation II autonomous shuttles in Babcock Ranch -- a community in Southwest Florida. It seems that the NHTSA has some safety concerns. "Using a non-compliant test vehicle to transport children is irresponsible, inappropriate, and in direct violation of the terms of Transdev's approved test project," NHTSA Deputy Administrator Heidi King said in a press release. Earlier this March, NHTSA approved Transdev to test and demonstrate its autonomous shuttles.


Researchers develop offline speech recognition that's 97% accurate

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Typically, deep learning approaches to voice recognition -- systems that employ layers of neuron-mimicking mathematical functions to parse human speech -- lean on powerful remote servers for bulk of processing. But researchers at the University of Waterloo and startup DarwinAI claim to have pioneered a strategy for designing speech recognition networks that not only achieves state-of-the-art accuracy, but which produces models robust enough to run on low-end smartphones. They describe their method in a paper published on the preprint server Arxiv.org It builds on work by Amazon's Alexa Machine Learning team, which earlier this year developed navigation, temperature control, and music playback algorithms that can be performed locally; Qualcomm, which in May claimed to have created on-device voice recognition models that are 95 percent accurate; Dublin, Ireland startup Voysis, which in September announced an offline WaveNet voice model for mobile devices; and Intel. "In this study, we explore a human-machine collaborative design strategy for building low-footprint [deep neural network] architectures for speech recognition through a marriage of human-driven principled network design prototyping and machine-driven design exploration," the researchers wrote.


Doctors could use AI to diagnose DEMENTIA

Daily Mail

Doctors could use artificial intelligence to diagnose dementia more accurately and give better treatment, scientists say. Researchers have invented a computer algorithm which can analyse MRI brain scans and learn how to recognise different types of dementia. They say that although many types of the brain-destroying condition have similar symptoms, they respond differently to treatment. Being able to correctly identify which type someone has means patients could be helped earlier on in their illness or given more targeted therapy. Experts say the research is'pioneering' and has'huge potential' in the future of treating dementia, expected to affect one million Britons by 2025.


AI can be used to protect your children from cyberbullying

Daily Mail

Artificial intelligence is adapting to protect children from the perils of cyber-bullying and social media. Researchers trained a machine-learning algorithm to detect bullying posts on social media and hide them from view. The AI detected words and phrases in this dataset that were typically associated with bullying and filtered out more than two-thirds of threats, insults and instances of sexual harassment. Gilles Jacobs at Ghent University in Belgium built the programme and tasked it with filtering real-life posts from AskFM. A team of professional linguists went through the same set of data and picked out the offensive posts from almost 200,000 posts.


Machine Learning Fun and Easy - YouTube

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Welcome to the Fun and Easy Machine learning Course in Python and Keras. Are you Intrigued by the field of Machine Learning? Then this course is for you! We will take you on an adventure into the amazing of field Machine Learning. Each section consists of fun and intriguing white board explanations with regards to important concepts in Machine learning as well as practical python labs which you will enhance your comprehension of this vast yet lucrative sub-field of Data Science.


Global Bigdata Conference

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Synthetic Minds, which aims to build safer blockchain code, today announced it has raised $5.5 million in a new round of funding. The San Francisco startup is a graduate of the most recent summer class from the Y Combinator accelerator. The money came from Khosla Ventures and Pantera Capital (a cryptocurrency-focused fund). This funding comes on the heels of investment from Y Combinator. Synthetic Minds' core technology is called program synthesis.


Scientists may now be able to grow a brain using human neurons

FOX News

Scientists may have made a major leap forward on the path to growing a fully-formed human brain in the lab. According to a new study, researchers at Tufts University have now grown a 3D tissue model of the brain using human neurons, providing them with a better opportunity to study abnormal brain cells. Though brain tissue cells have been cultured for years under laboratory conditions, this technique employs a three-dimensional scaffold of functional neural tissue. The researchers used human induced pluripotent stem cells or iPSCs taken from a variety of sources to create "brain-like organoids." "We found the right conditions to get the iPSCs to differentiate into a number of different neural subtypes, as well as astrocytes that support the growing neural networks," said David Kaplan from Tufts.