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Aramco’s Prosperity7 powers AI drug firm Insilico’s $95M round

TechCrunch

Insilico uses machine learning to identify potential drug targets and eventually create the drug. Sustainable chemistry, as defined by OECD , is “a scientific concept that seeks to improve the efficiency with which natural resources are used to meet human needs for chemical products and services.”

Chemicals 187
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Financial IT leaders prep for a quantum-fueled future

CIO

But quantum also holds the promise to make machine learning more efficient as well, says Vishal Shete, managing director UK and head of commercialization at Terra Quantum AG. Because qubits, the building blocks of quantum, “can learn with much less and noisier data, they’re very efficient at learning,” Shete says.

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What if the impossible were possible? Understanding the extraordinary potential of quantum technologies

Capgemini

For example, our inability to model interesting chemical reactions or complex financial risk, indicates that there are some economically important computations that classical computers struggle with. Will the promised, albeit modest, speedups of quantum Monte Carlo one day offset quantum hardware challenges in speed, scale, and quality?

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Radar Trends to Watch: October 2023

O'Reilly Media - Ideas

HuggingFace has developed a new machine learning framework for Rust called Candle. Hardware Humanity’s oldest writing is preserved on ceramics. Quantum Computing Researchers used a quantum computer to slow down a chemical process by a factor of 100 billion, allowing them to observe it. It is relatively small (1.6B

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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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EarthOptics helps farmers look deep into the soil for big data insights

TechCrunch

Using high-tech imaging techniques, the company claims to map the physical and chemical composition of fields faster, better, and more cheaply than traditional techniques, and has raised $10M to scale its solution. Machine learning is at the heart of the company’s pair of tools, GroundOwl and C-Mapper (C as in carbon).

Big Data 234
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LiLz uses computer vision to read gauges and dials where humans prefer not to tread

TechCrunch

LiLz makes it possible to keep an eye on such inconvenient physical interfaces remotely with a clever and practical application of machine learning. version of the hardware as well. The Japanese (specifically Okinawan) startup has been around for a little while — in fact our colleagues at TC JP have written them up.

Chemicals 245