Towards AI

NOVEMBER 16, 2024

Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. Keswani’s Algorithm: The algorithm essentially makes response function : maxy∈{R^m} f (.,

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. This post outlines five current trends in big data for 2022 and beyond. The Rise of Streaming Analytics.

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KDnuggets

MAY 18, 2022

5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management; Popular Machine Learning Algorithms; Reinforcement Learning for Newbies ; Deep Learning For Compliance Checks: What's New?

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Applied Data Science

DECEMBER 23, 2022

Just wait until you hear what happened in 2022. In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. In 2022 we got diffusion models ( NeurIPS paper ).

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Google Research AI blog

FEBRUARY 21, 2023

In 2022, we leveraged recent advances in deep learning to accurately predict protein function from raw amino acid sequences. Feeding data from quantum sensors directly to quantum algorithms without going through classical measurements may provide a large advantage.

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Google Research AI blog

FEBRUARY 23, 2023

Commensurate with our mission to demonstrate these societal benefits , Google Research’s programs in applied machine learning (ML) have helped place Alphabet among the top five most impactful corporate research institutions in the health and life sciences publications on the Nature Impact Index in every year from 2019 through 2022.

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Google Research AI blog

FEBRUARY 14, 2023

As we do this, we’re transforming robot learning into a scalable data problem so that we can scale learning of generalized low-level skills, like manipulation. In this blog post, we’ll review key learnings and themes from our explorations in 2022.

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Heartbeat

FEBRUARY 28, 2023

The past few years have witnessed exponential growth in medical image analysis using deep learning. In this article we will look into medical image segmentation and see how deep learning can be helpful in these cases. Finally, we will look at some of the recent semi-supervised medical image segmentation algorithms.

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Google Research AI blog

FEBRUARY 28, 2023

In 2022, we expanded our research interactions and programs to faculty and students across Latin America , which included grants to women in computer science in Ecuador. We also help make global conferences accessible to more researchers around the world, for example, by funding 24 students this year to attend Deep Learning Indaba in Tunisia.

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Towards AI

MAY 13, 2024

Since the emergence of ChatGPT in 2022, AI has dominated discussions. This synergy enables AI supercomputers to leverage HPC capabilities, optimizing performance for demanding AI tasks like training deep learning models or image recognition algorithms.

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Dataversity

DECEMBER 15, 2021

The new year will bring us many exciting developments in data-enabling technologies including the merging of artificial intelligence with quantum computing and graph neural networks, which will power extremely complex, next-generation algorithms. Knowledge graphs will become lego-like with the ability to be plugged into diverse applications.

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Data Science Dojo

JUNE 26, 2023

In order to learn the nuances of language and to respond coherently and pertinently, deep learning algorithms are used along with a large amount of data. The BERT algorithm has been trained on 3.3 A prompt is given to GPT-3 and it produces very accurate human-like text output based on deep learning.

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Google Research AI blog

FEBRUARY 2, 2023

Great machine learning (ML) research requires great systems. With the increasing sophistication of the algorithms and hardware in use today and with the scale at which they run, the complexity of the software necessary to carry out day-to-day tasks only increases. You can find other posts in the series here.)

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others.

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NYU Center for Data Science

JULY 5, 2024

The S4MI pipeline addresses a critical bottleneck in the advancement of clinical treatments: the heavy reliance on supervised learning techniques that require large amounts of annotated data. This process is not only costly but also incredibly time-consuming, demanding extensive involvement from clinical specialists. “A

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Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are a variety of algorithms that can help solve problems. Any competent software engineer can implement any algorithm. 12, 2014. [3]

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Dataconomy

MAY 23, 2023

AI-generated images are the result of intricate algorithms, deep learning models, and neural networks. AI art can be seen as a form of computational creativity where algorithms and software are used to generate novel and expressive images, sounds, texts, or other forms of media. What is AI art?

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Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

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Smart Data Collective

JUNE 22, 2023

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 Amazon has a very good overview if you want to learn more.

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Flipboard

JUNE 20, 2023

We present the results of recent performance and power draw experiments conducted by AWS that quantify the energy efficiency benefits you can expect when migrating your deep learning workloads from other inference- and training-optimized accelerated Amazon Elastic Compute Cloud (Amazon EC2) instances to AWS Inferentia and AWS Trainium.

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Mlearning.ai

AUGUST 7, 2023

Introduction Training deep learning models is a heavy task from computation and memory requirement perspective. Motivation and proposed mechanism Training phase of deep learning models exhibit varied sensitivity to the amount of system resources (CPU cores, system memory or DRAM). Reference [ 1 ] Mohan, Jayashree, et al.

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AssemblyAI

MARCH 21, 2023

Top 50 keywords in submitted research papers at ICLR 2022 ( source ) A recent bibliometric study systematically analysed this research trend, revealing an exponential growth of published research involving GNNs, with a striking +447% average annual increase in the period 2017-2019.

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Dataconomy

FEBRUARY 26, 2024

This attribute is particularly beneficial for algorithms that thrive on parallelization, effectively accelerating tasks that range from complex simulations to deep learning model training. Their architecture is a beacon of parallel processing capability, enabling the execution of thousands of tasks simultaneously.

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Pickl AI

NOVEMBER 18, 2024

Introduction Machine Learning is critical in shaping modern technologies, from autonomous vehicles to personalised recommendations. The global Machine Learning market was valued at USD 35.80 billion in 2022 and is expected to grow significantly, reaching USD 505.42 billion by 2031 at a CAGR of 34.20%.

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IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning? Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences.

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Google Research AI blog

APRIL 18, 2023

Posted by Badih Ghazi, Staff Research Scientist, and Nachiappan Valliappan, Staff Software Engineer, Google Research Recently, differential privacy (DP) has emerged as a mathematically robust notion of user privacy for data aggregation and machine learning (ML), with practical deployments including the 2022 US Census and in industry.

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NYU Center for Data Science

MAY 31, 2023

CDS Assistant Professor/Faculty Fellow Jacopo Cirrone works at the intersection of machine learning and healthcare, recently publishing two papers that expand deep learning research within these fields. In this study, we developed effective deep learning approaches for segmentation and classification.

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Mlearning.ai

FEBRUARY 25, 2023

How does the Artificial Neural Network algorithm work? Complex machine-learning problems such as image classification, recommendation systems, and language-to-language translation have been solved with this technique. ANN approach is a machine learning algorithm inspired by biological neural networks. Let’s dive in!

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Google Research AI blog

FEBRUARY 2, 2023

For research, it has not only reduced language model latency for users , designed computer architectures , accelerated hardware , assisted protein discovery , and enhanced robotics , but also provided a reliable backend interface for users to search for neural architectures and evolve reinforcement learning algorithms.

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How to Learn Machine Learning

AUGUST 14, 2024

It has many useful tools for stats modeling and machine learning including regression, classification, and clustering. You can use it to teach computers and measure their learning progress. Pandas – This works best for model evaluation and machine learning algorithms.

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Pickl AI

JULY 24, 2024

Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. Simon, demonstrated the ability to prove mathematical theorems.

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Dataconomy

APRIL 27, 2023

Rapid progress in AI has been made in recent years due to an abundance of data, high-powered processing hardware, and complex algorithms. AI computing is the use of computer systems and algorithms to perform tasks that would typically require human intelligence What is an AI computer?

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How to Learn Machine Learning

JULY 20, 2024

In this article you will learn about 7 of the top Generative AI Trends to watch out for in this year, so please please sit back relax, enjoy, and learn! It falls under machine learning and uses deep learning algorithms and programs to create music, art, and other creative content based on the user’s input.

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