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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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Predictive Maintenance: Employing IIoT and Machine Learning to Prevent Equipment Failures

Altexsoft

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

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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 132
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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

AWS Machine Learning - AI

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

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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. HTS automates testing against targets, employing sensitive detectors, robotics, data processing software, and other technologies. Hit-to-lead (H2L) selection. Source: Deloitte.

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Revolutionizing knowledge management: VW’s AI prototype journey with AWS

AWS Machine Learning - AI

The main technical challenge was to efficiently retrieve and process data in a multi-modal setup to provide comprehensive and accurate information from Chemical Compliance private documents. Amazon Bedrock: This component is critical for processing and inference.

AWS 64