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TechCrunch+ roundup: New VC rules, AI biotech investor survey, Instagram ad case study

TechCrunch

Biotech firms widely use AI and machine learning to reduce R&D spending and bring products to market faster, but “the bigger question for investors is getting a better understanding of what exactly AI is attempting to model and predict,” says Shaq Vayda, principal at Lux Capital. Image Credits: Medcrypt (opens in a new window).

Biotech 215
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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

Altexsoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. It’s vital for understanding surroundings in IoT applications. Source: Audio Singal Processing for Machine Learning.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. There has been a tremendous impact on the advancement and accessibility of healthcare technology through Internet of Things (IoT) devices, wearable gadgets, and real-time medical data monitoring.

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How is Digital Technology Transforming the Accessibility of Mental Health Services and Therapy?

OTS Solutions

With the emergence of AI, ML, DevOps, AR VR cloud computing, the Internet of Things (IoT), data analytics, digital transformation, application modernization, and other digital technologies, IT practice in mental health therapy is undergoing significant changes. million IoT 2028 $293.10 billion AI and ML 2032 $22,384.27

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How OpenXcell is adapting to TensorFlow to building advanced machine learning models

Openxcell

Tensorflow for Machine Learning helps engineers effectively to assemble and send ML-fueled applications. For Mobile & IoT. With the help of TensorFlow.js, you can create new machine learning models, and it can be deployed to the existing models through JavaScript. Case study #1: Singing to musical score s.

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Call for Papers: The Intelligent Edge of IoT

Cutter Consortium

An upcoming issue of Cutter Business Technology Journal seeks insight on the current uses of edge to cloud – or fog – applications, case studies, and industry/business implications. IoT, 5G and AI are driving convergence of traditional computing models that deliver value to organizations.

IoT 53