AI Weekly

AUGUST 10, 2023

wired.com 47% of Warren Buffett's $375 Billion Portfolio Is Invested in 3 AI Stocks If you've ever wondered why Wall Street professionals and everyday investors pay so much attention to Berkshire Hathaway (BRK.A 1.41%) (BRK.B 1.57%) CEO Warren Buffett, just take a closer look at his track record since taking the reins in 1965.

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Marktechpost

DECEMBER 19, 2023

A new AI research introduces TorchExplorer, a novel AI tool designed for researchers working with unconventional neural network architectures, which provides an interactive and insightful exploration of network layers.

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Unite.AI

NOVEMBER 14, 2024

When I started the company back in 2017, we were at a turning point with deep learning. The value and impact of our specialized AI translation tools and writing services is clear. Any organization considering AI tools should always ask these questions when evaluating models and companies.

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Towards AI

DECEMBER 16, 2024

Kernel Arnold Networks (KAN) Summary: Kernel Arnold Networks (KAN) propose a new way of representing and processing data, challenging traditional deep neural networks. Key Contributions: Unique combination of kernel methods with deep learning principles. Efficient handling of non-linear relationships.

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AI Weekly

DECEMBER 28, 2023

nytimes.com The AI Trend In Crypto: Best Altcoins And Deep Learning Models The partnership emphasizes generative AI and content recommendation, enabling large-scale, privacy-preserving collaborative training of AI models and the deployment of AI models for personalized content recommendations.

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Unite.AI

FEBRUARY 6, 2025

Non-Technical Newcomers Can Turn Their Ideas Into Reality Many AI professionals without IT backgrounds have successfully transitioned from diverse fields, bringing fresh perspectives and skillsets to the domain. No-code and low-code AI tools make it easier to create models without requiring extensive coding experience.

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Marktechpost

JULY 12, 2023

Artificial neural networks have advanced significantly over the past few decades, propelled by the notion that more network complexity results in better performance. Modern technology has amazing processing capacity, enabling neural networks to perform these jobs excellently and efficiently.

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Towards AI

FEBRUARY 3, 2025

We will also compare it with other competing AI tools like OpenAI and ChatGPT-4 and will try to figure out what are its USPs. What is DeepSeek AI? DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP).

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Unite.AI

OCTOBER 18, 2024

Hopfield received the Nobel Prize in Physics for their foundational work on neural networks. In contrast, Demis Hassabis and his colleagues John Jumper and David Baker received the Chemistry prize for their groundbreaking AI tool that predicts protein structures. Geoffrey Hinton and John J. Geoffrey Hinton and John J.

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AI Weekly

MARCH 21, 2024

techxplore.com Nvidia enlists humanoid robotics’ biggest names for new AI platform, GR00T It’s tough to argue with Nvidia CEO Jensen Huang when he notes, “Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today.”

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Marktechpost

MAY 20, 2024

Artificial intelligence (AI) powered tools are revolutionizing bioinformatics, helping to speed up drug development and decipher genomic puzzles. Here are the top AI tools for genomics, drug discovery, and machine learning ML. DeepVariant Google’s variant-calling tool is DeepVariant.

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AssemblyAI

MAY 3, 2023

Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives. This process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning.

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AI Weekly

DECEMBER 7, 2023

Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. It signifies a leap towards more creative, efficient, and flexible AI applications, reshaping customer experiences and operational.

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Marktechpost

JUNE 29, 2023

Deep learning-based techniques are starting to produce efficient and high-quality outcomes. Researchers from ETH Zurich and Max Planck Institute for Intelligent Systems in this study provide a unique method for forecasting dynamic garment deformations graph neural networks (GNNs).

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NVIDIA

JANUARY 6, 2025

As a result, were able to render at incredibly high performance, because AI does a lot less computation. RTX Neural Shaders use small neural networks to improve textures, materials and lighting in real-time gameplay. Inside the company, it was called Project DIGITS deep learning GPU intelligence training system.

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Marktechpost

JULY 13, 2023

Molecular scientists are hailing the breakthrough accuracy of deep learning approaches like AlphaFold and RoseTTAFold in identifying the most probable structures for proteins from their amino acid sequences. DiG is a deep learning framework for molecular systems that simulates this procedure.

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Marktechpost

JULY 20, 2023

To assist with this problem, researchers develop a U3DTT technology, which stands for ‘underwater three-dimensional tactile tensegrity’ The U3DTT works on deep learning algorithms like Neural networks, Autoencoders, and Boltzmann machines. It also has diverse applications related to deep learning technologies.

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Marktechpost

MARCH 28, 2024

One way an individual can stay updated with the latest trends is by reading books on various facets of AI. Following are the top AI books one should read in 2024. It also provides information on the different deep learning techniques used in various industrial applications.

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IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. Code completion tools like GitHub Copilot can recommend the next few lines of code. But generative AI is not predictive AI.

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Mlearning.ai

FEBRUARY 25, 2023

How does the Artificial Neural Network algorithm work? In the same way, artificial neural networks (ANNs) were developed inspired by neurons in the brain. Complex machine-learning problems such as image classification, recommendation systems, and language-to-language translation have been solved with this technique.

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Marktechpost

MAY 12, 2024

Fraud.net Fraud.net’s AI and Machine Learning Models use deep learning, neural networks, and data science methodologies to improve insights for various industries, including financial services, e-commerce, travel and hospitality, insurance, etc.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code.

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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Marktechpost

JUNE 28, 2024

One way an individual can stay updated with the latest trends is by reading books on various facets of AI. Following are the top AI books one should read in 2024. It also provides information on the different deep learning techniques used in various industrial applications.

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IBM Journey to AI blog

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Emotion AI is a theory of mind AI currently in development.

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Unite.AI

JUNE 21, 2024

The Rise of CUDA-Accelerated AI Frameworks GPU-accelerated deep learning has been fueled by the development of popular AI frameworks that leverage CUDA for efficient computation. NVIDIA's commitment to open-source initiatives has been a driving force behind the widespread adoption of CUDA in the AI research community.

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Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field. This beginner-friendly program, developed by DeepLearning.AI

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Marktechpost

NOVEMBER 16, 2024

One way an individual can stay updated with the latest trends is by reading books on various facets of AI. Following are the top AI books one should read in 2024. It also provides information on the different deep learning techniques used in various industrial applications.

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Unite.AI

DECEMBER 27, 2023

Notable advancements in generative AI have emerged in 2023, including the emergence of generative language models, increased adoption by different sectors, and the rapid growth of generative AI tools. This availability of diverse Gen AI tools reveals new possibilities for innovation and growth.

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Marktechpost

JUNE 15, 2023

In deep learning, symmetry is a crucial inductive bias. Convolutional neural networks can use Images with translational symmetry, and permutation symmetry in graphs can be used by graph neural networks. The present work focuses on general linear group subgroups that are globally symmetric.

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Marktechpost

AUGUST 1, 2024

This disjointed workflow is not only tedious but also complicates the process of integrating more advanced models like neural networks, which may require libraries such as TensorFlow or PyTorch. link] Darts is Python library that aims to be the scikit-learn for time series analysis.

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IBM Journey to AI blog

JUNE 14, 2023

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. That sounds like a joke, but we’re quite serious.

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Marktechpost

JUNE 27, 2023

Deep Convolutional Neural Networks (DCNN) trained on millions of photos power VanceAI’s A.I. tools, allowing for insightful analysis and lightning-fast processing. VanceAI uses deep learning to its full potential because its method is distinct from tools based on traditional mathematical procedures.

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Unite.AI

FEBRUARY 19, 2024

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

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Marktechpost

JUNE 27, 2023

Since the discovery of the Transformer design, the art of training massive artificial neural networks has advanced enormously, but the science underlying this accomplishment is still in its infancy. In this paper, they investigate how the data quality might be improved along a different axis.

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Unite.AI

FEBRUARY 23, 2024

It begins with “Generative AI and its Industry Applications,” introducing the principles of Generative AI, various generative models, their applications, and ethical considerations. Up-to-Date Industry Topics : Includes the latest developments in AI models and their applications.

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NVIDIA

JUNE 27, 2023

While generative AI is a relatively new household term, drug discovery company Insilico Medicine has been using it for years to develop new therapies for debilitating diseases. This is a significant milestone not only for us, but for everyone in the field of AI-accelerated drug discovery.”

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