IBM Journey to AI blog

SEPTEMBER 7, 2023

Companies that harness AI and data analytics can also make clean energy more viable overall by increasing their cost competitiveness over legacy energy sources. times more of the most mature utilities prioritize research in energy balancing and trading. The latter can also help drive efficiency by lowering end-user energy use.

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Analytics Vidhya

MAY 26, 2022

Introduction Have you ever wondered what an audio’s Amplitude Envelope and RMS energy are? The post Comparison of the RMS Energy and the Amplitude Envelope appeared first on Analytics Vidhya. And, if you had to choose, which of these do you believe would be most resilient to outliers?

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IBM Journey to AI blog

JUNE 30, 2023

For the energy and utilities industry (E&U), time is not on their side. Facts about the energy and utilities industry Transformer prices have doubled, while the average lead time for delivery has at least tripled from what it was two years earlier, reaching 52 weeks in some cases. Visibility. economy $150 billion annually.

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Flipboard

NOVEMBER 22, 2023

Guided by machine learning, chemists at the Department of Energy's Oak Ridge National Laboratory designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.

Machine Learning 181

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IBM Journey to AI blog

JULY 25, 2023

New technologies are shaping the way we produce, distribute and consume energy. alone has installed nearly 10,000 electricity generation units, connected by more than 300,000 miles of transmission lines and capable of generating over a million megawatts of energy. Historically, the power grid has been a one-way street.

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IBM Journey to AI blog

AUGUST 22, 2023

Generative AI and digital twin use cases in asset-intensive industries Various use cases come into reality when you leverage generative AI for digital twin technologies in an asset-intensive industry such as energy and utilities. Consider some of the examples of use cases from our clients in the industry: Visual insights.

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IBM Journey to AI blog

JUNE 28, 2023

IT teams are tasked with improving energy efficiency and reducing their overall carbon footprint and waste in data centers—on-premises or in the cloud. Turbonomic now tracks the energy consumption and carbon footprint of on-prem hosts and virtual machines (VMs) to help you put your sustainability goals into action.

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NVIDIA

MAY 12, 2024

Data centers need an upgraded dashboard to guide their journey to greater energy efficiency , one that shows progress running real-world applications. The formula for energy efficiency is simple: work done divided by energy used. The key is how much useful work they do with this energy.

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Analytics Vidhya

NOVEMBER 12, 2020

Introduction In this short article, I will talk about unsupervised learning especially in the energy domain. The post Deep Unsupervised Learning in Energy Sector – Autoencoders in Action appeared first on Analytics Vidhya. The blog would mainly focus on the application.

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SAS Software

FEBRUARY 21, 2024

A recent webinar focused on current trends in the utility industry and their impact on energy forecasting. The discussions covered government regulations and initiatives, technological advancements and improvements in energy forecasting analytics. Here are a few things I took away from the discussion.

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databricks

APRIL 8, 2024

Fostering a paradigm shift towards a smarter, cleaner & reliable energy system Electricity is the new oil. Sources of energy are becoming more.

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NYU Center for Data Science

MAY 17, 2024

The looming threat of climate change has spurred a global race to decarbonize power grids and transition to 100% clean energy. I always wanted to do a PhD in physics and study dark matter and dark energy to understand the rest of the universe. Wang’s aim is to make industry-scale applications a reality in less than a decade.

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Flipboard

SEPTEMBER 22, 2023

AI’s carbon footprint is no open-and-shut case, according to scientists from the University of California-Irvine and MIT, who published a paper earlier this year on the open access site arXiv.org that shakes up energy use assumptions of generative AI models, and which set off a debate among leading …

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Marktechpost

APRIL 25, 2024

As countries shift towards renewable energy like wind and solar power, understanding how climate change will affect these energy sources becomes crucial. Climate change brings extreme weather events, making it hard for energy planners to predict future energy needs. Check out the Paper and Blog.

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Flipboard

NOVEMBER 2, 2023

Two researchers from the University of Cambridge have developed a deep-learning algorithm that could make it easier, faster, and cheaper to identify energy-wasting homes — a significant source of greenhouse gas emissions. Trained on open-source data including energy performance certificates and …

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SAS Software

FEBRUARY 28, 2023

This transition to carbon-free energy sources could render carbon-intensive assets – such as coal- and gas-fired power plants, coal mines and hydrocarbon [.] Managing stranded asset risks in the energy sector with analytics was published on SAS Voices by Joe Nyangon, PhD

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NVIDIA

JULY 27, 2023

It’s all enabled by NVIDIA and its energy-conscious partners, as they use and develop technology breakthroughs for a cleaner, safer, more sustainable future. Renewable energy sources — such as sunlight, wind and water — are scaling in deployments and available capacity.

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IBM Journey to AI blog

MARCH 18, 2024

New developments in renewable energy are making headlines and inspiring hope in communities worldwide, from a remote Arctic village working to harness solar and wind power under challenging conditions to a U.S. But for all of the advantages of renewable energy, its development and use has disadvantages, too.

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Flipboard

DECEMBER 16, 2023

Scientists have harnessed the power of artificial intelligence (AI) to pinpoint hidden sources of clean energy underground.

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NVIDIA

MARCH 13, 2024

In this episode of NVIDIA’s AI Podcast , Daniel Castro, vice president of the Information Technology and Innovation Foundation and director of its Center for Data Innovation, speaks with host Noah Kravitz about the motivation behind his AI energy use report , which addresses misconceptions about the technology’s energy consumption.

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Flipboard

AUGUST 31, 2023

Image: Allen Institute for AI A first-of-its-kind map of renewable energy projects and tree coverage around the world launched today, and it uses generative AI to essentially sharpen images taken from space. For now, Satlas focuses on renewable energy projects and tree cover around the world. A feature called “Super-Resolution.”

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Flipboard

JANUARY 6, 2024

Smart Wind Energy - Machine Learning's Game Changing Role in Predictive Maintenance Smart Wind Energy: Machine Learning's Game-Changing Role in Predictive Maintenance" uncovers the groundbreaking advancements in wind turbine technology enabled by machine learning.

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Machine Learning 65

Analytics Vidhya

JANUARY 14, 2021

The post Use R To Pull Energy Data From The Department of Energy’s EIA API appeared first on Analytics Vidhya. ArticleVideos Note: I have written a Python version of this article, you can access that article here. The beginning of each article is the.

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databricks

APRIL 24, 2023

Energy loss in the utility space is primarily broken down into two categories: fraud and leakage. Fraud (or energy theft) is malicious and.

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Extreme Tech

FEBRUARY 12, 2024

The JET reactor produced 69 megajoules of fusion energy for five seconds.

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SAS Software

NOVEMBER 20, 2023

AES Corporation is one of the world’s largest independent producers of renewable energy, green hydrogen, and battery storage. How AES is transforming utilities with AI-driven renewable energy strategies was published on SAS Voices by Lexi Regalado

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AI AI 65

Flipboard

NOVEMBER 27, 2023

The technology that unlocks the next solar energy breakthrough may arrive via the Land of the Rising Sun. Experts at Osaka University have developed …

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Marktechpost

FEBRUARY 1, 2024

However, the current carbon capture systems are inefficient and may consume significant energy. in energy usage sourced from the UK’s national grid. Additionally, they used separate long short-term memory (LSTM)–based models to predict wind energy availability and incoming flue gas CO2 concentrations. to just 56.6%.

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Marktechpost

JANUARY 8, 2024

Researchers from multiple universities have addressed the challenge of designing large-scale DNN chiplet accelerators, focusing on optimizing monetary cost (MC), performance, and energy efficiency. Currently, existing DNN accelerators need help in achieving an optimal balance between MC, performance, and energy efficiency.

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ODSC - Open Data Science

OCTOBER 20, 2023

Utility companies are turning to machine learning to lower customers’ energy bills — and their own. Here’s how machine learning and AI are making power cheaper for companies and consumers to cut energy bills. Reducing Manufacturing Waste Sensors can measure the output and efficiency of individual machines within an energy facility.

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SAS Software

JULY 6, 2023

The need to use less energy is becoming critical to manufacturers worldwide. The transition to a clean energy economy drives new developments in the energy sector. Manufacturers must find ways to reduce energy use to stave off growing internal production costs and remain competitive.

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Marktechpost

NOVEMBER 29, 2023

Conventional computers use a lot of energy; they make up around 10% of the world’s electricity needs. Heat is produced, and energy is wasted in this process. Brain-inspired or neuromorphic computing is a potentially effective solution to traditional computer energy efficiency problems.

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Extreme Tech

DECEMBER 4, 2023

A new study reveals that using—not just training—generative AI applications consumes much more energy than most users would assume.

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Generative AI AI AI 79

Flipboard

JUNE 20, 2023

Increasingly, sustainability (energy efficiency) is becoming an additional objective for customers. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks. The focus of this post is on hardware as a lever for sustainable ML.

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Extreme Tech

MAY 9, 2024

This puts countries like the US, Canada, and the UK on track to meet their 2035 net zero power-related carbon emissions goals.

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Marktechpost

NOVEMBER 3, 2023

Its energy efficiency, rated at 885.4 The post This Artificial Intelligence-Focused Chip Redefines Efficiency: Doubling Down on Energy Savings by Unifying Processing and Memory appeared first on MarkTechPost. accuracy in handwriting recognition and 91.5% If you like our work, you will love our newsletter.

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Flipboard

MARCH 23, 2023

Originally published by Ericsson• The ever-increasing demand for data combined with a need to reduce energy consumption to reach Net Zero presents new …

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