Be like Clariant: Open the door to machine learning
Beyond B2B
MARCH 29, 2022
Specialty chemical company Clariant , with TrendMiner as its partner, has unlocked machine learning (ML) to evolve its plants into augmented factories.
Profet AI helps manufacturers build prediction models and industrial AI software
TechCrunch
JANUARY 4, 2023
Profet AI , a Taiwanese startup that makes auto machine learning software for manufacturers, announced today it has raised $5.6 Profet AI’s software lets users build prediction models and industrial AI apps for production and digitalization, even if they only have basic knowledge of machine learning.
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Molecule.one grows its drug synthesis AI platform with a $4.6M seed round
TechCrunch
JUNE 1, 2021
Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. The company leverages machine learning and a large body of knowledge about chemical reactions to create these processes, though as CSO Stanis? .
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Aramco’s Prosperity7 powers AI drug firm Insilico’s $95M round
TechCrunch
AUGUST 10, 2022
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.”
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DS Smith sets a single-cloud agenda for sustainability
CIO
DECEMBER 6, 2023
We collect lots of sensor data on machine performance, vibration data, temperature data, chemical data, and we like to have performative combinations of those datasets,” Dickson says. 2, machine learning/AI (31%), the packaging company has three use cases in proof of concept. As for No.
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The era of software-defined battery startups is here
TechCrunch
MAY 2, 2023
Designing and manufacturing pouches, slabs or cylinders filled with volatile chemicals that are capable of recharging ever more quickly is far from easy. “Batteries are hard,” an expert once said. He wasn’t kidding. Just ask LG, which had to pay GM nearly $2 billion for a costly manufacturing defect that saw every Chevy Bolt recalled.
Financial IT leaders prep for a quantum-fueled future
CIO
AUGUST 23, 2023
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.
IT leaders explore footing amid shifting needs and the AI power struggle
CIO
DECEMBER 28, 2023
During COVID-19 lockdowns, for example, specialty chemicals manufacturer Albemarle developed a VPA to provide self-service assistance to over 7,000 employees at home, including a natural language interface with a chat bot, and enough AI to help people interface seamlessly with several business applications at a time.
World Fund joins $128M bet that quantum can deliver climate breakthroughs
TechCrunch
JULY 22, 2022
Quantum computing trades the bits of conventional computers for quantum bits, and in theory, quantum machines may be better suited for solving some highly complex problems in fields like chemistry and machine learning. World Fund and IQM’s other investors have also implicitly endorsed the idea via their checkbooks.
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AMP Robotics attracts investment from Microsoft’s Climate Innovation Fund
TechCrunch
MAY 11, 2023
“The convergence of machine learning and robotics offered compelling opportunities to automate what had historically been tasks that were labor intensive, high cost, inconsistent and limiting.” ” A sorter machine from AMP Robotics. .”
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Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform
TechCrunch
SEPTEMBER 8, 2022
While a traditional microprocessor processes binary code, Seagate’s chip has tiny reservoirs that process small amounts of synthetic DNA in liquid form; liquid from one reservoir on the chip can be processed with liquid from another reservoir to produce a chemical reaction.
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How the new AI executive order stacks up: B-
CIO
NOVEMBER 9, 2023
This section of the executive order also includes vagaries such as “The Departments of Energy and Homeland Security will also address AI systems’ threats to critical infrastructure, as well as chemical, biological, radiological, nuclear, and cybersecurity risks.”
Using Vector Databases to Scale Multimodal Embeddings and Search
John Snow Labs
OCTOBER 10, 2023
Here we introduce a concept of “context similarity” for selecting chemical elements for HEAs, based on NLP models that analyze the abstracts of 6.4 The method captures the similarity of chemical elements in the context used by scientists. million papers.
Genesis Therapeutics raises $52M A round for its AI-focused drug discovery mission
TechCrunch
DECEMBER 2, 2020
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.
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Engine Biosciences expands its digital drug discovery pipeline with $43M round
TechCrunch
MAY 26, 2021
“We already have chemical compounds directed toward the novel biology we have uncovered,” said Lu. .” The company raised a $10 million seed in 2018 and has been doing its thing ever since — but it needs more money if it’s going to bring some of these things to market.
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With new funding, Atomic AI envisions RNA as the next frontier in drug discovery
TechCrunch
JANUARY 25, 2023
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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Teaching AI to Smell by Using DataRobot
DataRobot
JUNE 10, 2021
Predicting physical and chemical properties of a potential molecule is part of R&D for chemerical engineering firms whether they are creating medicine or consumer goods. Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule.
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This Y Combinator startup is taking lab-grown meat upscale with elk, lamb and Wagyu beef cell lines
TechCrunch
MARCH 23, 2021
Orbillion couples that with a high throughput screening and machine learning software system to build out a database of optimized tissue and media combinations. .” Startups making meat alternatives are gaining traction worldwide. The company runs its multiple cell lines through a system of small bioreactors.
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DuPont and VCs see lithium mining as a critical investment for the electric future
TechCrunch
FEBRUARY 17, 2021
Current processes for mining lithium are bad for the environment (to put it mildly), involving heavy use of toxic chemicals and increasingly scarce water resources. Outside Lilac, there’s been a stream of VC dollars flowing into the (non-crypto) mining business as software helps extraction companies operate more efficiently.
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Four short links: 9 April 2020
O'Reilly Media - Ideas
APRIL 9, 2020
The Electronic Nose and its Applications: A Survey — very good summary of tech, limitations, and applications of “electronic noses” aka multiple chemical sensors plus some machine learning/statistics. falsisign — Make it look like a PDF has been hand signed and scanned.
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From improving cancer treatments to saving the bees, these are the companies in IndieBio’s latest class
TechCrunch
MARCH 17, 2021
Aja Labs : Pitched as the “beyond meat of hair extensions,” Aja Labs wants to use plants to grow fibers that look and feel like human hair, potentially eliminating the need for chemical-heavy synthetics or human hair in the production of hair extensions. California Cultured : Lab-grown cocoa.
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How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data
Cloudera
DECEMBER 6, 2021
Few companies are more recognizable than ExxonMobil, one of the world’s largest publicly traded energy providers and chemical manufacturers that develops and applies next-generation technologies to help safely meet growing needs for energy and high-quality chemical products.
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The wave of data in oceans
Capgemini
APRIL 20, 2022
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?
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Quantum technology Is it a solution for some of our biggest sustainability challenges?
Capgemini
NOVEMBER 23, 2022
Good health and well-being – Improving the process of in silico drug discovery for the design and development of new drugs; optimize chemical and biological processes; enhance automation of pathology and imaging analysis as part of the diagnostics process. Conclusion: A plea for consideration.
Deep Learning and the Future of Artificial Intelligence
Altexsoft
OCTOBER 22, 2021
In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning. What is deep learning? Artificial intelligence vs machine learning vs deep learning.
How Natural Language Processing Is Helping Doctors Make Better Diagnoses
John Snow Labs
MAY 10, 2023
Scientists can use NLP tools to find previously unknown chemical reactions and can recommence experiments based on results. The saved results from the past clinical experiments act as training data for the Machine Learning models and extract meaningful data within seconds instead of hours.
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IBM Launches Watsonx: A New Platform for Foundation Models and Generative AI
Perficient
MAY 10, 2023
With Watsonx, clients will be able to: Access a variety of foundation models and open-source models curated and trained by IBM for different purposes, such as natural language understanding, code generation, chemical synthesis, or climate change modeling.
New roles emerging as utilities become more data-driven
Capgemini
JANUARY 7, 2020
Machine learning and AI offer powerful possibilities but need solid data to deliver real results. Randy Cozzens is an Executive Vice President and North American Energy, Utilities, and Chemicals Market Unit Lead at Capgemini and he can be reached at randall.cozzens@capgemini.com.
Do not underestimate intelligent automation in utilities
Capgemini
JULY 26, 2019
GE Renewable Energy is using machine learning to support yield optimization. Vermont Electric Power Company (VELCO) uses advanced data science and machine-learning techniques to develop a hyperlocal weather forecasting system.
What if the impossible were possible? Understanding the extraordinary potential of quantum technologies
Capgemini
FEBRUARY 21, 2023
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. But, despite Moore’s Law, this system does have inherent limits.
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Unlocking the Potential of Clinical NLP: A Comprehensive Overview
John Snow Labs
JUNE 1, 2023
Extracting drugs, chemicals and abbreviations. Automatically identifying drug chemicals in clinical documents. A common approach is to train machine learning models on large datasets of annotated texts that indicate the presence of ADEs. Detecting relations between drugs and adverse reactions caused by them.
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Radar Trends to Watch: October 2023
O'Reilly Media - Ideas
OCTOBER 3, 2023
HuggingFace has developed a new machine learning framework for Rust called Candle. 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 Candle includes GPU support. The GitHub repo links to a number of examples.
Predictive Maintenance: Employing IIoT and Machine Learning to Prevent Equipment Failures
Altexsoft
MARCH 30, 2020
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. chemical content. Analytical solution with machine learning capabilities.
Planbox Acquires IdeaConnection, the Best-in-Class Open Innovation Expert Solver Network
Planbox
MAY 12, 2020
Using this approach, IdeaConnection has achieved a best-in-class solve rate for thousands of problems ranging from food science, chemistry, engineering, biology, manufacturing, crop science, packaging, artificial intelligence, machine learning, big data, consumer products and hundreds of other areas of expertise.
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Immunai raises $60M as it expands from improving immune therapies to discovering new ones, too
TechCrunch
FEBRUARY 11, 2021
Immunai’s approach to developing new insights around the human immune system uses a ‘multi-omic’ approach – essentially layering analysis of different types of biological data, including a cell’s genome, microbiome, epigenome (a genome’s chemical instruction set) and more.
7 major trends shaping the future of the semiconductor industry
Capgemini
DECEMBER 18, 2023
This can be achieved by optimizing efficiency through advanced analytics (machine learning, analytics, and AI); improving digital lifecycle collaboration within FABS (a digital twin platform across the lifecycle of a fab can reduce production loss and energy waste); and ensuring enterprise-level collaboration across FABS.
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Top 5 Trends in the Logistics Industry to Look Out for in 2021
Trigent
JULY 9, 2021
Artificial Intelligence (AI) and Machine Learning (ML). For instance, AI helps them access critical information, while machine learning helps them make sense of this information to predict and track trends and make smarter business decisions. Internet of Things (IoT).
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EarthOptics helps farmers look deep into the soil for big data insights
TechCrunch
SEPTEMBER 21, 2021
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).
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Anthropic’s Claude improves on ChatGPT, but still suffers from limitations
TechCrunch
JANUARY 9, 2023
Elton was able to prompt Claude to invent a name for a chemical that doesn’t exist and provide dubious instructions for producing weapons-grade uranium. Here I caught it hallucinating , inventing a name for a chemical that doesn't exist (I did find a closely-named compound that does exist, though) pic.twitter.com/QV6bKVXSZ3.
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O'Reilly Media - Ideas
JANUARY 10, 2019
Could we replace chemical dyes with bacterial by-products ? Their demo involves someone playing the old Asteroids computer game without touching a keyboard, using machine learning to interpret the nerve signals that are sent to the hands. Bring the wooly mammoth back to life ? Save coral reefs ?
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Cold Chain Logistics Management: How to Handle Temperature-Sensitive Goods
Altexsoft
MAY 6, 2022
A cold chain is the supply chain that deals with perishable, temperature-sensitive goods (also called cool cargo) such as fresh produce, meat, dairy, seafood, chemicals, pharmaceutical products, flowers, wine, etc. Demand Forecasting Methods: Using Machine Learning to See the Future of Sales. What is cold chain logistics?
LiLz uses computer vision to read gauges and dials where humans prefer not to tread
TechCrunch
JANUARY 4, 2022
LiLz makes it possible to keep an eye on such inconvenient physical interfaces remotely with a clever and practical application of machine learning. No one wants to be the maintenance worker who has to hike through half a mile of damp hallways just to check the pressure gauge on a valve somewhere.
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400G: Building Bandwidth for the Next Lap
CIO
NOVEMBER 24, 2023
Huawei’s R&D engineers undertook more than ten thousand trials of chemical doping elements to stimulate L-band transmission capability and expand the spectrum. At the enterprise level, 10G ultra-broadband connectivity is becoming standard for enterprise campuses. The third innovation is the ultra-broadband optical amplifier.
Generative AI in Healthcare
John Snow Labs
FEBRUARY 29, 2024
The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). Gen AI is streamlining this process by predicting how different chemical compounds will behave and how likely they are to make an effective drug.
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