Towards AI

NOVEMBER 11, 2024

They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models (LLMs), the neural networks that drive these AI tools. Today, AI researchers face this same kind of limitation.

Neural Network 119

Neural Network Large Language Models Explainability Generative AI 119

Unite.AI

MARCH 9, 2025

This rapid acceleration brings us closer to a pivotal moment known as the AI singularitythe point at which AI surpasses human intelligence and begins an unstoppable cycle of self-improvement. However, AI is overcoming these limitations not by making smaller transistors but by changing how computation works.

Neural Network 315

Neural Network Deep Learning Algorithm AI 315

Marktechpost

DECEMBER 28, 2024

Additionally, current approaches assume a one-to-one mapping between input samples and their corresponding optimized weights, overlooking the stochastic nature of neural network optimization. It uses a hypernetwork, which predicts the parameters of the task-specific network at any given optimization step based on an input condition.

Neural Network 78

Neural Network AI Researcher AI Research ML 78

Towards AI

DECEMBER 16, 2024

Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!

AI Research 111

AI Research AI Researcher Computer Vision Neural Network 111

Marktechpost

APRIL 19, 2024

Google DeepMind has recently introduced Penzai, a new JAX library that has the potential to transform the way researchers construct, visualize, and alter neural networks. Penzai is a new approach to neural network development that emphasizes transparency and functionality.

Neural Network 140

Neural Network AI Research AI Researcher Python 140

Marktechpost

JUNE 22, 2024

Neural networks, despite their theoretical capability to fit training sets with as many samples as they have parameters, often fall short in practice due to limitations in training procedures. Key technical aspects include the use of various neural network architectures (MLPs, CNNs, ViTs) and optimizers (SGD, Adam, AdamW, Shampoo).

Neural Network 131

Neural Network AI Research AI Researcher Algorithm 131

AI Weekly

OCTOBER 10, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Department of Justice. You can also subscribe via email.

AI Research 278

AI Research AI Researcher Robotics Artificial Intelligence 278

Unite.AI

MARCH 24, 2024

Central to this advancement in NLP is the development of artificial neural networks, which draw inspiration from the biological neurons in the human brain. These networks emulate the way human neurons transmit electrical signals, processing information through interconnected nodes.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Marktechpost

FEBRUARY 28, 2024

Parameter generation, distinct from visual generation, aims to create neural network parameters for task performance. Researchers from the National University of Singapore, University of California, Berkeley, and Meta AI Research have proposed neural network diffusion , a novel approach to parameter generation.

Neural Network 108

Neural Network Deep Learning AI Research AI Researcher 108

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 Machine Learning 328

Unite.AI

OCTOBER 18, 2024

The 2024 Nobel Prizes have taken many by surprise, as AI researchers are among the distinguished recipients in both Physics and Chemistry. Hopfield received the Nobel Prize in Physics for their foundational work on neural networks. Geoffrey Hinton and John J.

AI Research 173

AI Research AI Researcher Neural Network AI 173

Marktechpost

OCTOBER 16, 2023

In a recent paper, “Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,” researchers have addressed the challenge of understanding complex neural networks, specifically language models, which are increasingly being used in various applications. Join our AI Channel on Whatsapp.

Neural Network 125

Neural Network Large Language Models AI AI 125

Marktechpost

JANUARY 2, 2024

Without this framework, comprehending the model’s structure becomes cumbersome for AI researchers. This tool functions as a viewer specifically designed for neural networks, supporting frameworks like TensorFlow Lite, ONNX, Caffe, Keras, etc.

Neural Network 129

Neural Network Deep Learning Machine Learning ML 129

Marktechpost

SEPTEMBER 3, 2023

Credit assignment in neural networks for correcting global output mistakes has been determined using many synaptic plasticity rules in natural neural networks. Methods of biological neuromodulation have inspired several plasticity algorithms in models of neural networks.

Neural Network 134

Neural Network Algorithm Continuous Learning Machine Learning 134

Marktechpost

FEBRUARY 4, 2024

Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. This technique centers on exposing neural networks to diverse tasks, thereby cultivating versatile representations crucial for general problem-solving.

Neural Network 143

Neural Network Machine Learning Algorithm AI Research 143

Marktechpost

DECEMBER 21, 2023

ReLoRA accomplishes a high-rank update, delivering a performance akin to conventional neural network training. link] Scaling laws have been identified, demonstrating a strong power-law dependence between network size and performance across different modalities, supporting overparameterization and resource-intensive neural networks.

Neural Network 127

Neural Network Machine Learning AI AI 127

Marktechpost

OCTOBER 22, 2023

In the pursuit of replicating the complex workings of the human sensory systems, researchers in neuroscience and artificial intelligence face a persistent challenge: the disparity in invariances between computational models and human perception. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

Neural Network 142

Neural Network Artificial Intelligence Artificial Intelligence AI 142

Marktechpost

NOVEMBER 25, 2023

Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. Traditional neural networks lack the elegance of the brain’s processing mechanisms.

Neural Network 126

Neural Network Python Deep Learning Artificial Intelligence 126

Marktechpost

OCTOBER 8, 2023

Yes, the field of study is called Neural networks. Researchers at the University of Copenhagen present a graph neural network type of encoding in which the growth of a policy network is controlled by another network running in each neuron. They call it a Neural Developmental Program (NDP).

Neural Network 127

Neural Network Deep Learning Automation Algorithm 127

Marktechpost

OCTOBER 1, 2023

Researchers have recently developed Temporal Graph Neural Networks (TGNNs) to take advantage of temporal information in dynamic graphs, building on the success of Graph Neural Networks (GNNs) in learning static graph representation. If you like our work, you will love our newsletter.

Neural Network 129

Neural Network Algorithm AI Research AI Researcher 129

Marktechpost

SEPTEMBER 15, 2023

The traditional theory of how neural networks learn and generalize is put to the test by the occurrence of grokking in neural networks. This behavior is basically grokking in neural networks. Generalizing Solution: With this approach, the neural network is well-suited to generalizing to new data.

Neural Network 124

Neural Network AI Research AI Researcher ML 124

NVIDIA

NOVEMBER 14, 2024

GluFormer is a transformer model , a kind of neural network architecture that tracks relationships in sequential data. It’s one of the 10 leading causes of death globally, with side effects including kidney damage, vision loss and heart problems.

AI Modeling 120

AI Modeling Neural Network AI AI 120

Marktechpost

JULY 7, 2024

Artificial neural networks (ANNs) traditionally lack the adaptability and plasticity seen in biological neural networks. Overall, LNDPs demonstrated superior adaptation speed and learning efficiency, highlighting their potential for developing adaptable and self-organizing AI systems. Check out the Paper.

Neural Network 108

Neural Network Artificial Intelligence Artificial Intelligence Robotics 108

Marktechpost

OCTOBER 28, 2024

It’s a great way to explore AI’s capabilities and see how these technologies can be applied to real-world problems. It’s a valuable tool for anyone interested in learning about deep learning and machine learning. It’s a great tool for beginners wanting to start with machine learning.

Neural Network 108

Neural Network Natural Language Processing Deep Learning Machine Learning 108

Towards AI

JANUARY 29, 2025

Along the way, expect a healthy dose of tea-fueled humor, cultural references, and some personal tales from my own adventures in AI research. The Scaling Hypothesis: Go Big or Go Home Imagine this: a neural network walks into a gym. The Ingredients for Scaling Success Heres the recipe: Bigger Models: AI loves to bulk up.

Neural Network 95

Neural Network Deep Learning AI AI 95

Marktechpost

DECEMBER 23, 2023

Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.

Neural Network 124

Neural Network Machine Learning Natural Language Processing Computer Vision 124

Marktechpost

DECEMBER 15, 2023

Complex tasks like text or picture synthesis, segmentation, and classification are being successfully handled with the help of neural networks. However, it can take days or weeks to obtain adequate results from neural network training due to its computing demands. If you like our work, you will love our newsletter.

Neural Network 127

Neural Network Machine Learning Algorithm Deep Learning 127

Marktechpost

DECEMBER 30, 2023

While PDE discovery seeks to determine a PDE’s coefficients from data, PDE solvers use neural networks to approximate a known PDE’s solution. In recent research, researchers from the University of Cambridge and Cornell University have provided a step-by-step mathematical guide to operator learning.

Neural Network 126

Neural Network Deep Learning Machine Learning Computer Vision 126

Unite.AI

FEBRUARY 19, 2025

Integrating symbolic AI or hybrid models that combine neural networks with formal logic systems could enhance their ability to engage in true reasoning. This distinction is crucial in AI research because if we mistake sophisticated planning for genuine reasoning, we risk overestimating AI's true capabilities.

Large Language Models 182

Large Language Models LLM Neural Network OpenAI 182

Marktechpost

OCTOBER 13, 2023

In the realm of deep learning, the challenge of developing efficient deep neural network (DNN) models that combine high performance with minimal latency across a variety of devices remains. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

Neural Network 129

Neural Network Deep Learning Algorithm Automation 129

Marktechpost

OCTOBER 28, 2023

To address this issue, NYU researchers have introduced an “interpretable-by-design” approach that not only ensures accurate predictive outcomes but also provides insights into the underlying biological processes, specifically RNA splicing. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

Neural Network 124

Neural Network Explainability Machine Learning Python 124

Marktechpost

SEPTEMBER 10, 2024

The intersection of computational physics and machine learning has brought significant progress in understanding complex systems, particularly through neural networks. Traditional neural networks, including many adapted to consider Hamiltonian properties, often need help with these systems’ high dimensionality and complexity.

Neural Network 115

Neural Network Machine Learning AI Researcher AI Research 115

AI Weekly

NOVEMBER 23, 2023

In light of the ongoing excitement in OpenAI leadership musical chairs over the last week, the topic of AI ethics has never been more critical and public — especially highlighting the need for broader discourse on the topic, rather than the self-sealing group-think that can occur in small, powerful groups. singularitynet.io

Convolutional Neural Networks 258

Convolutional Neural Networks Neural Network OpenAI Robotics 258

Marktechpost

NOVEMBER 26, 2023

Neural network architectures, particularly created and trained for few-shot knowledge the ability to learn a desired behavior from a small number of examples, were the first to exhibit this capability. Since then, a substantial amount of research has examined or documented instances of ICL.

Neural Network 132

Neural Network Categorization AI Research AI Researcher 132

AI Weekly

SEPTEMBER 26, 2024

for robotics simulation tech One of the most fundamental breakthroughs at Nvidia has been building processors that power and integrate with highly detailed, compute-intensive graphical simulations, which can be used in a wide range of applications, from games and industrial developments through to AI training.

Neural Network 261

Neural Network Robotics Artificial Intelligence Artificial Intelligence 261

Unite.AI

MARCH 19, 2025

While no AI today is definitively conscious, some researchers believe that advanced neural networks , neuromorphic computing , deep reinforcement learning (DRL), and large language models (LLMs) could lead to AI systems that at least simulate self-awareness.

Large Language Models 130

Large Language Models Neural Network AI AI 130

Marktechpost

DECEMBER 7, 2023

Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

Large Language Models 118

Large Language Models Prompt Engineer Prompt Engineering Neural Network 118