Dataconomy

MAY 29, 2023

In the field of AI and ML, QR codes are incredibly helpful for improving predictive analytics and gaining insightful knowledge from massive data sets. So let’s start with the understanding of QR Codes, Artificial intelligence, and Machine Learning.

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Data Science Dojo

SEPTEMBER 5, 2023

Virginia Tech and Microsoft unveil the Algorithm of Thoughts, a breakthrough AI method supercharging idea exploration and reasoning prowess in Large Language Models (LLMs). Accelerated Problem-Solving with Reduced Resource Dependency The outcome of this paradigm shift in AI? Significantly faster and resource-efficient problem-solving.

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Dataconomy

SEPTEMBER 13, 2023

AI annotation jobs are on the rise; naturally, people started asking what exactly is data annotation. AI annotation jobs: What is data annotation? AI still needs a human hand to operate efficiently; for how long, though? Faulty data can introduce biases and lead to inaccurate predictions by AI systems.

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Flipboard

FEBRUARY 22, 2023

One rarely gets to engage in a conversation with an individual like Andrew Ng, who has left an indelible impact as an educator, researcher, innovator and leader in the artificial intelligence and technology realms. Fortunately, I recently had the privilege of doing so. Our article detailing the …

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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. That is, is giving supervision to adjust via.

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Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless.

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Data Science Dojo

AUGUST 19, 2024

The demand for AI scientist is projected to grow significantly in the coming years, with the U.S. AI researcher role is consistently ranked among the highest-paying jobs, attracting top talent and driving significant compensation packages. Bureau of Labor Statistics predicting a 35% increase in job openings from 2022 to 2032.

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Dataconomy

APRIL 27, 2022

Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies.

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Pickl AI

APRIL 3, 2023

Therefore, Supervised Learning vs Unsupervised Learning is part of Machine Learning. Let’s learn more about supervised and Unsupervised Learning and evaluate their differences. What is Supervised Learning? What is Unsupervised Learning?

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Google Research AI blog

APRIL 26, 2023

Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow , single-task systems that require large quantities of labeled data to train.

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Data Science Dojo

JULY 2, 2024

Adaptive AI has risen as a transformational technological concept over the years, leading Gartner to name it as a top strategic tech trend for 2023. It is a step ahead within the realm of artificial intelligence (AI). It has led to enhanced use of AI in various real-world applications. What is Adaptive AI?

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Becoming Human

MAY 11, 2023

Artificial intelligence (AI) has come a long way in recent years, and one of the most exciting developments in this field is the rise of language models like ChatGPT. ChatGPT was trained using a process called unsupervised learning, which means that it was not given specific instructions on how to interpret the data.

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Dataconomy

OCTOBER 5, 2023

If you are interested in technology at all, it is hard not to be fascinated by AI technologies. Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. Firstly, data collection is essential.

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KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

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Towards AI

FEBRUARY 13, 2024

Author(s): Louis-François Bouchard Originally published on Towards AI. Louis-François Bouchard in What is Artificial Intelligence Introduction to self-supervised learning·4 min read·May 27, 2020 80 … Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

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Pickl AI

SEPTEMBER 17, 2024

Summary: This blog covers 15 crucial artificial intelligence interview questions, ranging from fundamental concepts to advanced techniques. Understanding these questions will equip aspiring AI professionals with the knowledge needed to excel in interviews and navigate the evolving AI landscape.

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Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance.

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Becoming Human

MARCH 16, 2023

AI drug discovery is exploding. Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. AI has already helped identify promising candidate therapeutics, and it didn’t take years but months or even days. We will look at success stories, AI benefits, and limitations.

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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Pickl AI

OCTOBER 18, 2024

Summary: Artificial Intelligence agents can be categorised into three main types: reactive, deliberative, and learning agents. Reactive agents respond to immediate inputs, deliberative agents plan actions based on reasoning, and learning agents adapt through experience. What is an AI Agent?

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IBM Journey to AI blog

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

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Towards AI

SEPTEMBER 7, 2023

Last Updated on September 8, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. An analogy to explain how deep learning works… This member-only story is on us. link] When we talk about artificial intelligence, or AI, we tend to mean deep learning. Published via Towards AI

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. This article explores how AI and Data Science complement each other, highlighting their combined impact and potential.

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Pickl AI

OCTOBER 20, 2024

Summary: Learning Artificial Intelligence involves mastering Python programming, understanding Machine Learning principles, and engaging in practical projects. This structured approach prepares you for a successful career in the rapidly growing AI field. The AI market size has surged to over 184 billion U.S.

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Data Science Dojo

JULY 31, 2024

With the increasing role of data in today’s digital world, the multimodality of AI tools has become necessary for modern-day businesses. The multimodal AI market size is expected to experience a 36.2% What is Multimodal AI? increase by 2031. Hence, it is an important aspect of the digital world.

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

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Towards AI

DECEMBER 31, 2023

Last Updated on January 2, 2024 by Editorial Team Author(s): Yunzhe Wang Originally published on Towards AI. Superintelligent AI systems will be extraordinarily powerful; humans could face catastrophic risks including even extinction if those systems are misaligned or misused. Predictions of the weak model are used as weak labels.

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IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions.

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Towards AI

SEPTEMBER 3, 2024

Last Updated on September 3, 2024 by Editorial Team Author(s): Surya Maddula Originally published on Towards AI. This means that the input data comes with corresponding output labels that the model learns to predict. Join thousands of data leaders on the AI newsletter. Published via Towards AI

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Dataconomy

APRIL 3, 2023

Understanding the basic components of artificial intelligence is crucial for developing and implementing AI technologies. AI systems are designed to mimic human intelligence and learning, enabling them to adapt and improve their performance over time.

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Dataconomy

APRIL 3, 2023

Understanding the basic components of artificial intelligence is crucial for developing and implementing AI technologies. AI systems are designed to mimic human intelligence and learning, enabling them to adapt and improve their performance over time.

Artificial Intelligence 70

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IBM Journey to AI blog

MAY 9, 2023

We stand on the frontier of an AI revolution. Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.

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DrivenData Labs

JUNE 14, 2023

¶ Participants in the Meta AI Video Similarity Challenge found creative ways to improve representations used for copy detection, as well as localization techniques that allow copied sections to be identified efficiently within longer videos. In December 2022, DrivenData and Meta AI launched the Video Similarity Challenge.

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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. Artificial intelligence is the overarching system.

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IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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