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3

Jun 24

Partex and Singapore’s Experimental Drug Development Centre collaborate to bring forward an innovative approach for early drug discovery and development

Frankfurt, Germany, 3rd June 2024, 9am CET Partex, a leading provider of AI-driven solutions in the pharmaceutical industry, is thrilled...
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Apr 24

Partex Partners with Lupin to Revolutionize Drug Discovery through AI-Driven Asset Search and Evaluation

Frankfurt, Germany, 23 April 2024 – Partex, a leading provider of AI-driven solutions in the pharmaceutical industry, is thrilled to...
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Innoplexus wins Horizon Interactive Gold Award for Curia App

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Technology

CAAV

Innoplexus’s Proprietary CAAV Framework for Intelligent Big Data Analysis

The amount of data currently being produced by the life sciences industry is exploding. Medical information alone is expected to double every 73 days by 2020,1 and much of this data is unstructured. If we want to put this extremely complex, vast ocean of data to use, we need to crawl, aggregate, analyze, and visualize …

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Understanding-the-computer-vision-Technology

Understanding the Computer Vision Technology

The early 1970s introduced the world to the idea of computer vision, a promising technology automating tasks that would otherwise take humans years to do. In 45 years, computer vision would become an integral component in artificial intelligence (AI) applications across industries. After years of exponential growth, through breakthroughs in AI technology and an explosion …

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COMPUTER

Moving beyond the distributional model for word representation

In any modern machine learning based natural language processing (NLP) pipeline, word vectorization is a quintessential step, since we can’t feed words directly. In word vectorization, we typically assign an n-dimensional vector to a word, which captures its meaning. Consequentially, this is one of the most important steps in the pipeline since a bad representation …

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advantages-of-artificial-intelligence

Advantages of Artificial Intelligence

AI or Artificial Intelligence works by effectively combining high volumes of data using intelligent and quick algorithms with iterative processing and thereby allowing itself to self-learn automatically from the characteristics of such data. The tasks can range from speech or natural language recognition and translation into different languages, to visual perception and even decision making. …

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