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Genesis Therapeutics raises $52M A round for its AI-focused drug discovery mission

TechCrunch

Machine learning has, of course, accelerated work in many fields, biochemistry among them, but he felt that the potential of the technology had not been tapped. ” Atomwise’s machine learning-based drug discovery service raises $123 million. “We represent the molecules more naturally: as graphs.

Biotech 265
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With new funding, Atomic AI envisions RNA as the next frontier in drug discovery

TechCrunch

A rotating 3D model of an RNA strand structure predicted by PARSE. The biology is different, and the way the models work is different, but the idea is the same: a machine learning model trained on a limited set of a type of molecule that can make accurate predictions about the structure of other molecules of that type. .

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Radar Trends to Watch: October 2022

O'Reilly Media - Ideas

In addition to continued fascination over art generation with DALL-E and friends, and the questions they pose for intellectual property, we see interesting things happening with machine learning for low-powered processors: using attention, mechanisms, along with a new microcontroller that can run for a week on a single AA battery.

Trends 107
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CIO 100 Award winners prove the transformative value of IT

CIO

As part of the hackathon, the IT team sought to achieve three things: to aggregate the company’s data into an enterprise data platform; to build an API that would provide business access to that data; and to develop a machine learning algorithm to provide insights on top of the aggregated IoT data.

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The wave of data in oceans

Capgemini

Well, Capgemini and the Norwegian Institute of Marine Research have taken on the challenge to use machine learning and AI to read, analyze and interpret vast amounts of data collected hundreds of meters below sea level, thus gaining a better understanding of events and inner workings of the ocean’s mechanisms. So what’s the solution?

Data 52
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AI in Drug Discovery and Repurposing: Benefits, Approaches, and Use Cases

Altexsoft

Today, researchers usually apply high throughput screening (HTS) to select promising hits from a large library of chemical and biological compounds. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. and enables generating chemical entities for a specific target.

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Generative AI in Healthcare: Use Cases, Benefits, and Challenges

John Snow Labs

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). Additionally the technology shows potential, in planning and simulation by offering surgeons 3D models to practice and plan before carrying out procedures.