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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. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. On-Demand Computing.

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How Nvidia became a trillion-dollar company

CIO

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

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Prellis Biologics raises $14.5M, debuts a ‘human immune system’ in a dish

TechCrunch

Prellis Biologics , a company developing the tools to create 3D-printed organs, announced a $14.5 Up until this point, Prellis has focused on 3D printing vascular scaffolds that would allow companies to grow healthy and oxygenated human organs (or miniature versions, called organoids) for drug testing, and eventually transplant.

System 203
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Meet the 14 companies launching out of the Entrepreneurs Roundtable Accelerator

TechCrunch

Andiamo uses machine learning, 3D simulation and 3D printing to create custome braces for children with cerebral palsy, bringing down the cost and improving outcomes for clinicians, patients and families alike. So without any further ado, here are the startups graduating out of the summer 2021 ERA class. departments.

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With new funding, Atomic AI envisions RNA as the next frontier in drug discovery

TechCrunch

Academia has focused on other pieces of the puzzle and pharmaceuticals have, partly as a consequence of that, pursued proteins as the mechanisms for drugs. A rotating 3D model of an RNA strand structure predicted by PARSE. And it’s doing… who knows what? It’s vastly underexplored.”

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning - AI

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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Nvidia accelerates enterprise adoption of generative AI

CIO

Nvidia AI Foundations is a family of cloud services with which enterprises will be able to build their own large language models (LLMs), the technologies at the heart of generative AI systems, and run them at scale, calling them from enterprise applications via Nvidia’s APIs.