Marktechpost

DECEMBER 11, 2023

These models use systems of differential equations that explain thermodynamics and fluid flow and may be integrated across time to produce projections for the future. Using historical data, like the ERA5 reanalysis dataset, deep neural networks are trained to forecast future weather conditions.

Neural Network 126

Neural Network Deep Learning Explainability Algorithm 126

Unite.AI

JUNE 15, 2024

The Harvard researchers worked closely with the DeepMind team to build a biomechanically realistic digital model of a rat. The neural network was trained to use inverse dynamics models, which are believed to be employed by our brains for guiding movement.

Neural Network 328

Neural Network Robotics Algorithm Explainability 328

Marktechpost

SEPTEMBER 26, 2023

Microsoft researchers propose a groundbreaking solution to these challenges in their recent “Neural Graphical Models” paper presented at the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023). If you like our work, you will love our newsletter.

Neural Network 136

Neural Network Categorization Data Scientist Data Analysis 136

Marktechpost

DECEMBER 3, 2023

There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization. Likewise, the research team has varying degrees of understanding of the mechanical causes for each. If you like our work, you will love our newsletter.

Neural Network 124

Neural Network Explainability Algorithm AI Research 124

Marktechpost

NOVEMBER 30, 2023

Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. The review underscores the significance of explainability for wider dissemination and acceptance within the development community.

Deep Learning 98

Deep Learning AI Researcher AI Research Neural Network 98

Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. All credit for this research goes to the researchers of this project.

Neural Network 104

Neural Network Artificial Intelligence Artificial Intelligence Natural Language Processing 104

Heartbeat

DECEMBER 20, 2023

This blog aims to equip you with a thorough understanding of these powerful neural network architectures. Whether you’re a seasoned AI researcher or a budding enthusiast in machine learning, the insights offered here will deepen your understanding and guide you in leveraging the full potential of CNNs in various applications.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

Marktechpost

OCTOBER 8, 2023

By utilizing finely developed neural network architectures, we have models that are distinguished by extraordinary accuracy within their respective sectors. Despite their accurate performance, we must still fully understand how these neural networks function. Join our AI Channel on Whatsapp.

Deep Learning 140

Deep Learning Neural Network Explainability Artificial Intelligence 140

Marktechpost

JULY 6, 2023

This is where Interpretable (IAI) and Explainable (XAI) Artificial Intelligence techniques come into play, and the need to understand their differences become more apparent. On the other hand, explainable AI models are very complicated deep learning models that are too complex for humans to understand without the aid of additional methods.

Explainable AI 52

Explainable AI Explainability Neural Network AI 52

Marktechpost

JANUARY 14, 2024

These intricate systems use neural networks to interpret and respond to linguistic inputs. Its flexibility allows for a wide scope of adaptations to LLMs, such as more effective inspection of early layers and the use of more capable models to explain representations of smaller models.

Large Language Models 140

Large Language Models AI Researcher AI Research Neural Network 140

Marktechpost

JUNE 4, 2024

Modern Deep Neural Networks (DNNs) are inherently opaque; we do not know how or why these computers arrive at the predictions they do. An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend. Check out the Paper.

Machine Learning 119

Machine Learning Neural Network Explainability Natural Language Processing 119

Unite.AI

NOVEMBER 25, 2023

By integrating these constraints, the AI not only mirrors aspects of human intelligence but also unravels the intricate balance between resource expenditure and information processing efficiency. These limitations are not hindrances but are instrumental in shaping its structure and function.

Neural Network 342

Neural Network Artificial Intelligence Artificial Intelligence AI 342

Viso.ai

MAY 7, 2024

However, GoogLeNet demonstrated by using the inception module that depth and width in a neural network could be increased without exploding computations. GooLeNet – source Historical Context The concept of Convolutional Neural Networks ( CNNs ) isn’t new. We will investigate the inception module in depth.

Explainability 52

Explainability Convolutional Neural Networks Neural Network Deep Learning 52

Unite.AI

JUNE 4, 2024

However, they operate as “ black boxes ,” providing limited transparency and explainability regarding how they produce certain outputs. Anthropic researchers have recently made a breakthrough in enhancing LLM transparency. Furthermore, this advancement opens new avenues for AI research and development.

Large Language Models 221

Large Language Models Neural Network LLM Explainability 221

Unite.AI

JULY 25, 2024

These fingerprints can then be analyzed by a neural network, unveiling previously inaccessible information about material behavior. As Argonne postdoctoral researcher James (Jay) Horwath explains, “The way we understand how materials move and change over time is by collecting X-ray scattering data.”

Neural Network 182

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 182

Marktechpost

DECEMBER 15, 2023

This method involves the application of a generative neural network, specifically a Generative Adversarial Network (GAN), a form of AI. According to researchers, this is the reason for developing GAN, an AI-based generative neural network trained using high-resolution radar precipitation fields.

Deep Learning 105

Deep Learning Convolutional Neural Networks Neural Network Artificial Intelligence 105

Unite.AI

FEBRUARY 16, 2024

It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. Some AI enthusiasts believe that AGI is inevitable and imminent and will lead to a new technological and social progress era. Current AI, excelling in specific domains, must meet AGI’s expansive potential.

Neural Network 195

Neural Network Algorithm Machine Learning Hybrid AI 195

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

Generative AI 189

Generative AI Neural Network ChatGPT OpenAI 189

Marktechpost

OCTOBER 21, 2024

Artificial intelligence (AI) and machine learning (ML) revolve around building models capable of learning from data to perform tasks like language processing, image recognition, and making predictions. A significant aspect of AI research focuses on neural networks, particularly transformers.

Machine Learning 64

Machine Learning Neural Network Inference Engine Natural Language Processing 64

Flipboard

MARCH 13, 2023

Yes, large language models (LLMs) hallucinate , a concept popularized by Google AI researchers in 2018. That feedback is used to adjust the reward predictor neural network, and the updated reward predictor neural network is used to adjust the behavior of the AI model.

ChatGPT 172

ChatGPT Large Language Models Neural Network Deep Learning 172

AI Weekly

JANUARY 18, 2024

Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years.

Robotics 214

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 214

Marktechpost

SEPTEMBER 1, 2023

Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans. The researchers clarify key terms and present a comprehensive bibliography of academic and real-world examples for each broad area.

Large Language Models 138

Large Language Models Neural Network Natural Language Processing LLM 138

IBM Journey to AI blog

AUGUST 13, 2024

Where it all started During the second half of the 20 th century, IBM researchers used popular games such as checkers and backgammon to train some of the earliest neural networks, developing technologies that would become the basis for 21 st -century AI.

Machine Learning 189

Machine Learning Robotics Neural Network Natural Language Processing 189

AI Weekly

MAY 4, 2023

Explore upcoming AI/ML courses from top global universities and join 250,000+ professionals taking their next step. com Applied use cases How AI is accelerating innovation in healthcare Healthcare — one of the largest sectors of the U.S. biotechnology sector at Goldman Sachs Research. Learn more] sjv.io gadgets360.com

Robotics 130

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 130

Marktechpost

SEPTEMBER 30, 2023

The optimism that deep neural networks, particularly those based on the Transformer design, will speed up scientific discovery stems from their contributions to previously intractable problems in computer vision and language modeling. This is a huge improvement as opposed to traditional neural networks, which are notoriously opaque.

Neural Network 138

Neural Network Machine Learning Computer Vision Artificial Intelligence 138

NVIDIA

AUGUST 29, 2024

The young Dutch CEO of Contextual AI had been deeply influenced by two seminal papers from Google and OpenAI , which together outlined the recipe for creating fast, efficient transformer-based generative AI models and LLMs. We knew that RAG was the solution to many of the problems.

Neural Network 68

Neural Network LLM OpenAI Large Language Models 68

Marktechpost

SEPTEMBER 19, 2024

Understanding how LLM memory differs from human memory is essential for advancing AI research and its applications. Hong Kong Polytechnic University researchers use the Universal Approximation Theorem (UAT) to explain memory in LLMs. The UAT forms the basis of deep learning and explains memory in Transformer-based LLMs.

LLM 59

LLM Neural Network Explainability Deep Learning 59

AI Weekly

SEPTEMBER 14, 2023

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? The answer typically depends on whether the person asking owns a robot vacuum cleaner: yesterday or never.

Robotics 225

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 225

NYU Center for Data Science

APRIL 4, 2023

Professors Vasant Dhar and Sam Bowman discuss the control problem in Episode 58 of the Brave New World Podcast CDS Director of Industry Relations Vasant Dhar and CDS Professor Sam Bowman The question at the center of Sam Bowman ’s career has been: what can neural networks do with language? Bowman also breaks down how LLMs work.

Artificial Intelligence 64

Artificial Intelligence Artificial Intelligence Neural Network Large Language Models 64

Unite.AI

JULY 25, 2023

For instance, many blogs today feature AI-generated text powered by LLMs (Large Language Modules) like ChatGPT or GPT-4. Many data sources contain AI-generated images created using DALL-E2 or Midjourney. Moreover, AI researchers are using synthetic data generated using Generative AI in their model training pipelines.

Data Drift 246

Data Drift AI AI AI Modeling 246

The MLOps Blog

NOVEMBER 14, 2023

Visualizing deep learning models can help us with several different objectives: Interpretability and explainability: The performance of deep learning models is, at times, staggering, even for seasoned data scientists and ML engineers. Interactive visualizations, in particular, have proven helpful for those new to the field.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Pickl AI

JULY 24, 2024

Early AI programs, such as the Logic Theorist developed by Allen Newell and Herbert A. 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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

Marktechpost

JULY 21, 2023

The software can explain, translate, summarize, or rewrite Any piece of writing. The software can explain, translate, summarize, or rewrite Any piece of writing. To that end, SciSpace Copilot has been developed to comprehensively explain all the data in scientific articles, including tables, charts, and graphs. Originality.AI

Data Scientist 98

Data Scientist Neural Network Machine Learning Explainability 98

Marktechpost

JULY 22, 2023

They defined the meta-reweighting objective to minimize the final loss on the labeled data by selecting the most appropriate weights (weights throughout the paper always refer to the coefficients used to reweight each unlabeled sample rather than referring to the parameters of neural networks).

Machine Learning 98

Machine Learning Algorithm Deep Learning Neural Network 98

Unite.AI

OCTOBER 17, 2024

This is part of our commitment announced last year to invest $1 billion in generative AI over the next three years. Trust, explainability and multi-objective decisions are among the important areas we’re pursuing that are vital for Fortune 500 enterprises. Similarly, neural networks, generative AI and LLMs are inherently opaque.

AI 130

AI AI Artificial Intelligence Artificial Intelligence 130

Marktechpost

JUNE 16, 2023

Artificial intelligence vocabulary frequently uses comparisons to human traits, such as neural networks or the phrase artificial intelligence itself. For instance, ChatGPT “understands” or “explains.” Check Out The Paper and GitHub link.

ChatGPT 98

ChatGPT Large Language Models Neural Network Natural Language Processing 98

Marktechpost

JUNE 9, 2023

As explained by Yuan Gong, an MIT Postdoc, self-supervised learning is essential because if you look at how humans gather and learn from the data, a big portion is without direct supervision. It combines two self-supervised learning architectures, contrastive learning, and masked data modeling. Check Out The Paper and MIT Blog.

Machine Learning 116

Machine Learning Neural Network Artificial Intelligence Artificial Intelligence 116