Tag Archives: artificial intelligence

Online tool tests organisations’ AI maturity

Artificial IntelligenceArtificial intelligence (AI) is expected to increase automation and boost productivity. However, organisations should first understand their own readiness for taking advantage of AI. VTT Technical Research Centre of Finland Ltd (VTT) has developed an online tool that organisations can use to test their AI maturity.

The tool gives organisations a quick and easy way to find out how ready they are to harness the power of artificial intelligence. VTT’s online tool is available for all organisations, free of charge, at https://ai.digimaturity.vtt.fi/. With the tool, organisations can test their AI maturity in six dimensions, including e.g. strategy and management, competences and cooperation, and technology.

Artificial Intelligence Acceleratorhttps://faia.fi/
VTThttps://www.vttresearch.com/

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Neural Computing on a stick: deep learning hardware becomes affordable

Neural Computing StickThe Neural Compute Stick 2 (NCS2), the latest incarnation of Intel’s USB-stick with Artificial Intelligence hardware inside, makes working with Artificial Intelligence affordable. Target environments are embedded IoT applications. This compact, fanless computer-vision and deep-neural-network (DNN) accelerator is now shipping through RS Components (RS), the trading brand of tech company Electrocomponents plc.

As well as for use by data scientists and academics, the device is said to be ideal for a wide selection of developers and engineers looking at integrating computer-vision and artificial intelligence (AI) capabilities into their Internet of Things (IoT) applications. Available in the convenient USB form factor, the stick is enabling deep-learning prototyping on a laptop or any other computing device with a USB interface.

This new hardware could be used to start prototype one of the most valuable deep learning applications in Diagnostic Imaging: the detection algorithm to localize structures (for example) in 2D or 3D space, detection of lung nodules or liver metastases on CT images.

The NCS 2 also becomes a highly versatile prototyping and development tool when combined with the Intel Distribution of OpenVINO toolkit, which offers support for deep learning, computer vision and hardware acceleration to enable applications that have human-like vision capabilities.

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AWS expands HIPAA eligible machine learning services for healthcare customers

AWS HealthcareAWS announced that Amazon Translate, Amazon Comprehend, and Amazon Transcribe are now U.S. Health Insurance Portability and Accountability Act of 1996 (HIPAA) eligible services.

This announcement adds to the number of AWS artificial intelligence services that are already HIPAA eligible– Amazon Polly, Amazon SageMaker, and Amazon Rekognition. By using these services, AWS customers in the healthcare industry can leverage data insights to deliver better outcomes for providers and patients using the power of machine learning (ML).

To support our healthcare customers, AWS HIPAA eligible services enable covered entities and their business associates subject to HIPAA to use the secure AWS environment to process, maintain, and store protected health information. Healthcare companies like NextGen Healthcare, Omada Health, Verge Health, and Orion Health are already running HIPAA workloads on AWS to analyze numerous patient records.

AWS

The addition of Amazon Translate, Amazon Transcribe, and Amazon Comprehend to the list of HIPAA eligible services will allow customers to leverage these AWS ML services to better streamline customer support and improve patient engagement. Customers can use these three services to leverage the following ML capabilities:

Amazon Transcribe: A speech-to-text service that automatically creates text transcripts from audio files will allow healthcare organizations to create text transcripts calls with patients.
Amazon Translate: A neural machine translation service that delivers fast, high-quality, and affordable language translation. This service can be employed to easily translate large volumes of text efficiently and enable patients to chat with their healthcare provider in their preferred language.
Amazon Comprehend: A natural language processing (NLP) service that can find insights and relationships in unstructured text. It can analyze sentiment (e.g., negative, positive, and neutral), and extract key phrases from patient interactions to better understand and improve engagement.

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