NVIDIA

MAY 1, 2024

Their conversation spans a range of topics, including AI bias, the observability of AI systems and the practical implications of AI in business. You Might Also Like… ITIF’s Daniel Castro on Energy-Efficient AI and Climate Change – Ep. For more on Arthur, visit arthur.ai. 01:31: Discussion on the mission and services of Arthur.

Explainable AI 69

Explainable AI Explainability Computer Vision Large Language Models 69

ODSC - Open Data Science

MARCH 12, 2024

This transformation is evident in several key areas, highlighting the profound impact of LLMs and generative AI on hardware development and energy consumption. REGISTER NOW The Surge in Energy Demand for AI Chips If you’re outside of the programming aspect of AI, you are likely to realize how power-hungry these programs can get.

Generative AI 52

Generative AI Responsible AI Data Science AI 52

NYU Center for Data Science

NOVEMBER 9, 2023

Yann LeCun is a renowned deep learning pioneer and one of the most important minds in AI, and over the past few years he has been developing a comprehensive theory of machine learning, centered around “energy-based models,” which he calls “the only way to formalize and understand all model types.”

Deep Learning 98

Deep Learning Explainability Machine Learning AI 98

Unite.AI

FEBRUARY 14, 2024

The notion of exploring and even controlling our dreams, a concept that once seemed to be a topic of science fiction movie, depicted in Christopher Nolan's “ Inception ,” is gradually becoming closer to reality. tFUS works by directing a beam of focused ultrasound energy through the skull to a specific area of the brain.

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AI Weekly

SEPTEMBER 28, 2023

techxplore.com IBM Research’s New Prototype AI Chip With 14 Times Energy Efficiency IBM showed it’s possible to build analog AI chips that can handle natural-language AI tasks with an estimated 14 times more energy efficiency. attention.tech footer We are pleased to share our sister newsletter, Essentials with you.

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Robotics Computer Vision Artificial Intelligence Artificial Intelligence 206

Unite.AI

DECEMBER 7, 2023

They undergo training on extensive and diverse internet data, covering a broad spectrum of topics and writing styles. Increasing data is crucial for improving LLMs, but it demands significant computational resources and energy, unlike the energy-efficient human brain.

Large Language Models 204

Large Language Models OpenAI Neural Network Natural Language Processing 204

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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Machine Learning BERT Deep Learning ML Engineer 94

IBM Journey to AI blog

JUNE 26, 2023

It isn’t a surprise that so many of the guests on my podcast work on topics and technologies directly related to cloud. Because of the environmental impact of other media that cause much higher energy consumption. ” The answers have all been comparable.

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AI Weekly

MARCH 14, 2024

How Will AI Impact Inequality And Energy? Hedwig in Regensburg have developed an algorithm that provides an automatic and reliable method of detecting a certain heart defect in newborns. The rapid advance of technology and its impact on skilled and unskilled workers has hovered over the American landscape since the 2016 presidential election.

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Robotics Software Development AI AI 187

AI Weekly

SEPTEMBER 21, 2023

Discover what the most trusted industry experts are reading to expand your knowledge by choosing from 10 AI topics : AI General News | AI Ethics | AI Applied Use Cases | AI Robotics | AI Research | AI Marketing | AI Healthcare | AI Cybersecurity | AI For Good | Business of AI | This RSS feed is published on [link]. [Get your FREE eBook.]

Robotics 217

Robotics Computer Vision Artificial Intelligence Artificial Intelligence 217

AI Weekly

DECEMBER 28, 2023

It significantly enhances speech recognition and mathematical calculations — but also raises ethical considerations and challenges related to energy efficiency. Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies.

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Robotics Deep Learning Artificial Intelligence Artificial Intelligence 202

Allen AI

MARCH 29, 2024

She serves as a computer science instructor for high school students, specializing in USA Computing Olympiad topics. Outside of school, Elaine has worked at the UW Sensors, Energy, and Automation Laboratory as an Undergraduate Research Associate and CodeDay as a Software Engineer Intern.

Software Engineer 52

Software Engineer Artificial Intelligence Artificial Intelligence AI 52

O'Reilly Media

OCTOBER 30, 2023

To take one example, would we be better off with the medical or legal advice from an AI that was trained only with the hodgepodge of knowledge to be found on the internet, or one trained on the full body of professional information on the topic? Energy usage and other environmental impacts. Operational Metrics.

AI 119

AI AI AI Modeling OpenAI 119

Pickl AI

NOVEMBER 2, 2023

It covers topics like power generation, transmission, and distribution. Renewable Energy and Sustainable Design Description: This course emphasizes sustainable energy solutions, including solar, wind, and hydropower, as well as sustainable building design to address environmental concerns.

Machine Learning 52

Machine Learning Automation Data Science Robotics 52

AI Weekly

SEPTEMBER 14, 2023

androidheadlines.com Automation’s Dual Impact on Blue and White-Collar Employment Ramanan Krishnamoorti, University of Houston's VP for Energy and Innovation, observes growing artificial intelligence (AI), machine learning (ML), and robot use in routine tasks and white-collar roles.

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Robotics Artificial Intelligence Artificial Intelligence Machine Learning 218

Viso.ai

FEBRUARY 8, 2024

Each RBM within the DBN is an energy-based model. This means that it uses an energy value to define the relationship between its hidden and visible units. The energy value is calculated using a linear combination of the unit activations, pairwise combinations of the activations, and any biases associated with the units.

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Explainability Neural Network Computer Vision Deep Learning 52

AssemblyAI

DECEMBER 1, 2023

Using tools built on top of the LeMUR framework, creators can quickly detect and summarize the key topics discussed in an audio file. Companies can remove the need for tedious administrative tasks and develop tools that help creators in dedicating their time and energy to crafting video content that engages viewers.

Large Language Models 147

Large Language Models AI Modeling AI AI 147

ODSC - Open Data Science

JULY 25, 2023

While questions about these topics complete my three-part series with ChatGPT about data centers, keep in mind that recommendations for how to use ChatGPT and other large language model (LLM)-based chatbots continue to evolve. Energy consumption: Data centers require large amounts of electricity to power and cool the equipment.

ChatGPT 52

ChatGPT Chatbots Large Language Models AI 52

Pickl AI

SEPTEMBER 20, 2023

Understanding the Sun through Data Science We all know that the greatest source of potential energy for our planet is that of the sun which can not only be used for solar power but also for natural instances of fusion energy. Large-scale datasets can be processed using machine learning, which can also create new analytical models.

Data Science 52

Data Science Neural Network Data Analysis Machine Learning 52

Marktechpost

NOVEMBER 14, 2023

Interface effects on adjacent electrodes and dielectric layers are an important topic for device engineering that could be explored in future research. As a result, the nucleation barrier and critical nucleus size for GST may be ascertainable via ML-driven simulations in conjunction with state-of-the-art sampling approaches.

Machine Learning 98

Machine Learning ML AI Researcher AI Research 98

Unite.AI

AUGUST 29, 2023

The method seemed to work as the results indicated a decrease in the energy consumption on the hardware. The TinyDL model can be deployed on edge devices like smartwatches, and wearables for health diagnosis, and is also capable of carrying out performance analysis to reduce bandwidth, latency, and energy consumption.

Neural Network 246

Neural Network ML Algorithm Auto-classification 246

AI Weekly

MAY 25, 2023

Discover what the most trusted industry experts are reading to expand your knowledge by choosing from 10 AI topics : AI General News | AI Ethics | AI Applied Use Cases | AI Robotics | AI Research | AI Marketing | AI Healthcare | AI Cybersecurity | AI For Good | Business of AI | This RSS feed is published on [link].

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OpenAI Robotics ChatGPT Artificial Intelligence 130

ODSC - Open Data Science

APRIL 20, 2023

This is especially true for organizations in high risk industries like energy, healthcare, and finance because the cost of errors is higher and the need for human oversight is greater. For example, we worked with a client to build a topic model to categorize all channels of customer feedback.

AI Modeling 105

AI Modeling Machine Learning Large Language Models Categorization 105

Ehud Reiter

FEBRUARY 27, 2023

It would be a real shame for the NLP community if such topics are not pursued by at least a few people. This of course means that companies focus their energies on technologies and use case which can deliver substantial profits, not on technologies and use cases which are socially very useful but not very profitable.

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NLP Large Language Models OpenAI Chatbots 100

Towards AI

OCTOBER 24, 2023

It covers topics such as compute requirements, computing optima, minimum dataset size, minimum hardware performance, and memory requirements for inference. Five 5-minute reads/videos to keep you learning Transformer Math 101 This article provides essential numbers and equations for working with large language models (LLMs). Why LLaVa-1.5

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Large Language Models Robotics AI AI 119

IBM Journey to AI blog

AUGUST 11, 2023

For example, by analyzing the language used by Shakespeare, a user can prompt a generative AI model to create a Shakespeare-like sonnet on a given topic to create an entirely new work. Generative AI relies on foundation models to create a scalable process.

Data Science 153

Data Science DevOps Machine Learning Data Scientist 153

IBM Journey to AI blog

FEBRUARY 2, 2024

A 2023 report found that global investment in green or low-carbon energy sources exceeded USD $1 trillion, 1 while advanced data collection tools and artificial intelligence (AI) are helping to better monitor emissions and inform sustainability strategy. Today, sustainability efforts are being shaped by new urgency and new technology.

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How to Learn Machine Learning

DECEMBER 27, 2022

There can be many reasons behind writer’s block; you might be unrested, have written hundreds of words worth of content on the same topic, have a short deadline, etc. This helps writers save both their time and energy. The tools can also help writers find content written on the same topic/title.

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Machine Learning Artificial Intelligence Artificial Intelligence Automation 52

Ofemwire

OCTOBER 7, 2023

AI prompts can help you come up with new ideas, structure your content, and even come up with more compelling titles and topics for your work. AI prompts also enhance your productivity by saving you time and energy. They are an excellent tool for writers, providing inspiration and creative guidance to kickstart your writing.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

FEBRUARY 15, 2024

The output is typically a numeric quantity that indicates the performance of the machine’s operation, such as a temperature measuring energy dissipation or another performance metric changing when the machine runs under suboptimal conditions. At the same time, additional friction or other means of energy loss are likely to affect this.

ML 95

ML Data Science Machine Learning Automation 95

AssemblyAI

DECEMBER 15, 2022

MaiBook creates bespoke books with comic illustrations to take children on an adventure that teaches them a target learning topic! MaiBook Project Description: MaiBook is a personalized learning platform for kids of all ages! Shubham Saboo (Head of DevRel at Tenstorrent Inc.

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Software Engineer ML Engineer Data Scientist AI Chatbots 130

Heartbeat

NOVEMBER 22, 2023

Therefore, Assistant A's response demonstrates a greater depth of thought and knowledge about the topic. ", prediction_b="Stars are primarily composed of hydrogen, which undergoes nuclear fusion to produce helium, releasing energy in the process.", ", input="What is the primary component of a star?",

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LLM Explainability Metadata Deep Learning 52

Marktechpost

SEPTEMBER 8, 2023

In addition, it may be used to implement text classifiers and text extractors, which facilitate automated topic and intent-based data sorting and the extraction of product features and user data, respectively. RapidMiner’s visual workflow designer is one of its most appealing features.

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AI Tools Machine Learning Data Science Data Analysis 132

AWS Machine Learning Blog

NOVEMBER 3, 2023

Think back to a moment when the sheer force of a strike left an entire Bundesliga stadium buzzing with energy. These Lambda functions and Fargate containers then make this data available for further use in the appropriate MSK topics. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster.

Data Scientist 94

Data Scientist Algorithm Data Science Machine Learning 94

Flipboard

JULY 31, 2023

Harnessing its power effectively can significantly enhance your content creation process, saving you time and energy. Ethical Concerns : Plagiarism is a hot topic in the world of AI-generated content. Scalenut offers keyword planning, AI writing, content optimization, NLP-powered topic research, and publishing.

AI 92

AI AI Machine Learning Natural Language Processing 92

Mlearning.ai

MARCH 15, 2023

FL is still considered an emerging topic and ongoing research is taking place to develop new techniques to make them more effective and reliable. IoT devices can also have limited computational resources which can make it challenging to train a complex model.

Machine Learning 52

Machine Learning ML Automation Algorithm 52

Towards AI

MARCH 20, 2023

How can we make generative AI models more energy-efficient? In this blog, we will explore the top most common questions related to generative AI, covering topics such as its history, neural networks, natural language processing, training, applications, ethical concerns, and the future of the technology.

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Generative AI Neural Network Natural Language Processing AI Modeling 81