NHS Hospitals Turn to Deep Learning and Advanced Algorithms to Fight Heart Disease


WIRE)--New technology using deep learning and advanced algorithms to evaluate blood flow to the heart is now being used in English hospitals to fight against coronary heart disease. Coronary heart disease (CHD) is one of the leading causes of death in the UK. It is responsible for more than 66,000 deaths each year and it is estimated that 2.3 million people in the UK are currently living with the diseasei. CHD develops when the arteries leading to the heart narrow or become blocked, which can reduce blood flow, and cause chest pain and heart attacksii. The HeartFlow FFRct Analysis is being supported by NHS England as part of the Innovation and Technology Payment (ITP) programme to help physicians better diagnose coronary heart disease.

The Cure for AI Fever - Bain & Company


Imagine this scenario: An executive's primary competitor has just hired a promising start-up, a software firm specializing in strong artificial intelligence that covers a broad range of applications, not just something specific such as translation or image recognition. Trying to learn more about this, she looks up the start-up founder's TEDx talk but finds it impenetrable. The firm's website boasts claims for the tool bordering on science fiction and has pictures of young men and women and their dogs in a WeWork space against a backdrop of whiteboards all covered in formulas. How solid is this technology? How does what the people with the dogs say they do intersect with what their technology seems to be for?

Anaconda Leverages Containers to Accelerate AI Development - Container Journal


Anaconda Inc. announced today it is leveraging Docker containers and Kubernetes clusters to accelerate the development of AI applications built and deployed using graphical processor units (GPUs) from NVIDIA. Previously, Anaconda added support for Docker and Kubernetes to version 5.0 of Anaconda Enterprise, a commercially supported instance of an open source platform for developing, governing and automating data science and AI pipelines on Intel processors. A version 5.2 of Anaconda Enterprise extends that platform to add support for GPUs. Matthew Lodge, senior vice president of products and marketing at Anaconda, says that training AI applications has been proven to be significantly faster on GPUs. But over time, developers of AI applications will be employing a broad range of algorithms across Intel processors, GPUs, field programmable gate arrays and new classes of processors such as the TPU processors developed by Google, which are designed specifically for AI applications.

Tamr Preps for Growth with $18M Round


Tamr today announced that it has raised $18 million in venture capital to help it grow its business, which is focused taking a "machine-driven, human-guided" approach to taming messy data. The funding round, which was Tamr's fourth, brings the five-year-old Cambridge, Massachusetts company's total funding to $59.4 million, according to Crunchbase. It will be the company's last, Tamr co-founder and CEO Andy Palmer told the Boston Business Journal. Tamr, which originated as a research project in co-founder Mike Stonebraker's graduate class at the Massachusetts Institute of Technologies, was spun out of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) in 2014 with a novel approach to data preparation. The company subsequently emerged from stealth later that year to enter the market for data preparation software, which Gartner says attracts $780 million per year in spending.

NVIDIA Stock Forecast: 3 Stable Sources of Growth for NVIDIA


This article was written by Kwon Sok Oh, a Financial Analyst at I Know First. NVIDIA Corp. (NASDAQ: NVDA) is the leading designer and manufacturer of graphics processing units and related products and services. It's main operating segments are the GPU segments and the Tegra Processor segment. NVIDIA currently has 11,528 employees with $9.71 billion in revenue in 2017. It is headquartered in Santa Carla, CA.

Planck Re scores $12M Series A to simplify insurance underwriting with artificial intelligence


Planck Re, a startup that wants to simplify insurance underwriting with artificial intelligence, announced today that it has raised a $12 million Series A. The funding was led by Arbor Ventures, with participation from Viola FinTech and Eight Roads. Co-founder and CEO Elad Tsur tells TechCrunch that the capital will be used to expand Planck Re's product line into more segments, including retail, contractors, IT and manufacturing, and grow its research and development team in Israel and North American sales team. The Tel Aviv and New York-based startup plans to focus first on its business in the United States, where it has already launched pilot programs with several insurance carriers. Tsur says that Planck Re's clients generally use it to help underwrite insurance for small to medium-sized businesses, including business owner policies, which cover property and liability risks, and workers' compensation. Founded in 2016 by Tsur, Amir Cohen and David Schapiro, Planck Re poses its technology as a more efficient and accurate alternative to the lengthy risk assessment questionnaire insurers ask clients to fill out.

Microsoft's AI Platform Gets A Big Boost With Bonsai Acquisition

Forbes Technology

Microsoft has announced that it is acquiring Bonsai – an AI startup focused on reinforcement learning – to expand its AI offerings. This move helps Microsoft in expanding its portfolio to autonomous systems and industrial control systems. Bonsai, an artificial intelligence startup based in Berkeley, California, aims to democratize AI by making the technology accessible to business decision makers. It is abstracting the complexity involved in implementing reinforcement learning. Mark Hammond, the co-founder, and CEO of Bonsai is not new to Microsoft.

DeepBrain Chain and SingularityNet Partner On Blockchain AI Crypto Briefing


If you've ever wondered how a benign calculating machine can produce a superintelligent cyborg with an Austrian accent, a new partnership may help fill in the blanks. SingularityNET, a decentralized AI marketplace for AI services, has just announced a partnership with DeepBrain Chain. Unlike Skynet, however, the new partnership aims to make the future "open and democratic" by allowing public access to artificial intelligence algorithms. "As concerns grow over AI algorithms clenched centrally in the hands of a few tech giants and world governments," the company said in a press release today, SingularityNET was building a "decentralized software network" of AI agents and human developers. SingularityNET, whose Ethereum-based AGI token is currently ranked 138 by market cap, describes itself as a "decentralized market of coordinated AI services."

Real Estate Search Engine Powered by Artificial Intelligence


ITRealty intelligently analyzes the multiple listing services (MLS) that brokers and agents use to find/list properties, establish contractual offers of compensation among brokers, and accumulate and disseminate information to enable appraisals. "It does not matter anymore how far in the past comparable properties were sold", says Yuriy Setko, "Our algorithms will analyze where the market was for that particular type of property, in that particular neighborhood in the past, and apply the time adjustment percentage to the selling price to give you that property's market price as if it was sold yesterday." You usually have a good number of comparables to see if the asking price is right". It also helps to precisely determine the market price when putting up a property for sale. ITRealty tracks price drops on MLS, along with other listing analysis algorithms, to find "motivated sellers", as well as drawing supplementary data on real estate not found on MLS.

Mitek Acquires AI Check Processor A2iA


Mitek Systems, Inc., a leader in digital identity verification solutions, announced that it has acquired A2iA, a leader in artificial intelligence (AI) and image analysis. The deal is for €42.5 million in cash and shares of Mitek's common stock. Mitek software is used in 6,100 U.S. banks, including all of the top 10 largest U.S. financial institutions. "The acquisition of A2iA combines two market leaders in image recognition and processing, creating a powerful force with a deep expertise in image analytics," industry expert Bob Meara, senior analyst at Celent said in a press release. A2iA uses AI and machine learning to create proprietary algorithms that process millions of checks, IDs and documents each day for banks, retailers, insurance companies, mobile operators, healthcare providers and governments in more than 42 countries and 11 languages.