Marktechpost

DECEMBER 27, 2023

Also, don’t forget to join our 35k+ 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.

Machine Learning 103

Machine Learning AI Researcher AI Research Large Language Models 103

Marktechpost

MARCH 1, 2024

A new Salesforce AI Research presents a multi-turn interaction between a simulated user and an LLM focusing on a classification task as the FlipFlop experiment. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. If you like our work, you will love our newsletter.

LLM 123

LLM Machine Learning AI Researcher AI Research 123

Marktechpost

OCTOBER 11, 2023

Studies now investigate if building AI research agents with similar capabilities is possible. To evaluate AI research agents with free-form decision-making capabilities, researchers from Stanford University propose MLAgentBench, the first benchmark of its kind. Join our AI Channel on Whatsapp.

Machine Learning 103

Machine Learning AI Researcher AI Research Convolutional Neural Networks 103

Marktechpost

JANUARY 14, 2024

Tax authorities worldwide are turning to machine learning strategies to enhance their capabilities in identifying and preventing fraudulent activities, marking a crucial step in safeguarding government revenues. The resultant annual financial losses are immense, emphasizing the critical need for effective fraud detection measures.

Machine Learning 105

Machine Learning AI Researcher AI Research Neural Network 105

Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. How did you initially get interested in computer science and machine learning ? As the director of AI Research at Zoho & ManageEngine, what does your average workday look like?

AI Researcher 162

AI Researcher AI Research Machine Learning AI 162

Marktechpost

JANUARY 2, 2024

Exploring pre-trained models for research often poses a challenge in Machine Learning (ML) and Deep Learning (DL). Without this framework, comprehending the model’s structure becomes cumbersome for AI researchers.

Neural Network 127

Neural Network Deep Learning Machine Learning ML 127

Marktechpost

NOVEMBER 25, 2023

Stanford researchers introduced a groundbreaking development named BLASTNet, heralding a new era in computational fluid dynamics (CFD). Still, it was a proof of concept that was not ready for machine learning purposes. If you like our work, you will love our newsletter.

Machine Learning 134

Machine Learning Large Language Models Artificial Intelligence Artificial Intelligence 134

Marktechpost

FEBRUARY 28, 2024

Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. The post Amazon AI Research Introduces BioBRIDGE: A Parameter-Efficient Machine Learning Framework to Bridge Independently Trained Unimodal Foundation Models to Establish Multimodal Behavior appeared first on MarkTechPost.

Machine Learning 101

Machine Learning AI Researcher AI Research Data Scarcity 101

Marktechpost

OCTOBER 20, 2023

While machine learning has been previously employed to enhance data accuracy, a team at the Department of Energy’s SLAC National Accelerator Laboratory has unveiled a groundbreaking approach using neural implicit representations, transcending conventional methods. Join our AI Channel on Whatsapp. We are also on WhatsApp.

Machine Learning 102

Machine Learning AI Researcher AI Research ML 102

AI Weekly

NOVEMBER 16, 2023

Powered by superai.com In the News 10 Breakthrough AI Research Papers to Read in 2024 These papers encompass a diverse array of advancements, ranging from ethical considerations to quantum computing applications, healthcare innovations to climate analysis. bbc.com Robotics Can't find your car keys?

AI Researcher 201

AI Researcher AI Research Robotics Artificial Intelligence 201

Marktechpost

DECEMBER 28, 2023

Also, don’t forget to join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , LinkedIn Gr oup , 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.

Machine Learning 102

Machine Learning AI Researcher AI Research Deep Learning 102

Marktechpost

JANUARY 12, 2024

The post Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System appeared first on MarkTechPost. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

Large Language Models 123

Large Language Models Machine Learning LLM AI Researcher 123

Marktechpost

APRIL 19, 2024

Artificial intelligence (AI), machine learning, and statistics continually evolve, pushing the boundaries of what machines can learn and predict. Yet, the validation of new AI methods often hinges on the availability of high-quality, real-world data. Check out the Paper and Github.

Machine Learning 99

Machine Learning Artificial Intelligence Artificial Intelligence AI 99

Marktechpost

DECEMBER 9, 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.

Machine Learning 121

Machine Learning Algorithm AI Researcher AI Research 121

Marktechpost

JANUARY 3, 2024

The introduction of TSPP, a comprehensive benchmarking tool by researchers from Nvidia, is a major stride in addressing these challenges, offering a standardized approach for evaluating machine learning solutions in real-world scenarios. If you like our work, you will love our newsletter.

Machine Learning 119

Machine Learning Deep Learning AI Researcher AI Research 119

Marktechpost

SEPTEMBER 14, 2023

The industry has responded by developing advanced battery management systems and employing machine learning techniques to improve prediction accuracy and optimize performance. Leveraging Machine Learning for Battery Optimization BatteryML employs machine learning algorithms to improve various facets of battery performance.

Machine Learning 121

Machine Learning Algorithm AI Researcher AI Research 121

Marktechpost

SEPTEMBER 14, 2023

Machine learning models have become indispensable tools in various professional fields, driving applications in smartphones, software packages, and online services. Notably, 73% of healthcare workers expressed willingness to use TalkToModel to gain insights into the predictions of AI-based diagnostic tools.

Machine Learning 121

Machine Learning Explainability Computer Scientist Artificial Intelligence 121

Marktechpost

MARCH 14, 2024

As transformers continue to evolve and adapt to diverse learning scenarios, their role in facilitating continual learning paradigms could become increasingly prominent, heralding a new era in AI research and application. These findings have direct implications for developing more efficient and adaptable AI systems.

Continuous Learning 126

Continuous Learning Machine Learning AI AI 126

Marktechpost

MARCH 9, 2024

In recent years, machine learning has significantly shifted away from the assumption that training and testing data come from the same distribution. Researchers have identified that models perform better when handling data from multiple distributions. All credit for this research goes to the researchers of this project.

Machine Learning 136

Machine Learning Deep Learning AI AI 136

Marktechpost

DECEMBER 11, 2023

Although measuring the degree of uncertainty in human judgments is challenging, machine learning methods offer assurance in their forecasts. Nevertheless, many machine learning applications use pretrained models that don’t provide any measure of atypicality. Rather, they only offer confidence levels.

Machine Learning 118

Machine Learning Neural Network Categorization AI Researcher 118

Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. To minimize the possibility of mistakes, the user must repeat and check each step of the machine-learning workflow.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Marktechpost

JULY 23, 2023

The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. Using insufficiently large or imbalanced datasets to train or evaluate a machine learning model may result in systemic biases in model performance.

Machine Learning 98

Machine Learning Data Scarcity Algorithm AI Researcher 98

Marktechpost

MARCH 23, 2024

They need help with accurately scraping metadata for these types of publications, which is a crucial feature for researchers who rely heavily on conference proceedings. This functionality gap leaves much to be desired for those in the machine learning and computer vision communities.

AI Researcher 119

AI Researcher AI Research Metadata Computer Vision 119

Marktechpost

JULY 21, 2023

Also, don’t forget to join our 26k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Convolutional Neural Networks 98

Convolutional Neural Networks Machine Learning AI Researcher AI Research 98

Marktechpost

DECEMBER 23, 2023

DNNs have gained immense prominence in various fields, including computer vision, natural language processing, and pattern recognition, due to their ability to handle large volumes of data and extract high-level features, leading to remarkable advancements in machine learning and AI applications.

Neural Network 121

Neural Network Machine Learning Natural Language Processing Computer Vision 121

Marktechpost

NOVEMBER 25, 2023

Researchers have undertaken the formidable task of enhancing the independence of individuals with visual impairments through the innovative Project Guideline. link] In conclusion, Project Guideline represents a transformative stride in computer vision accessibility. If you like our work, you will love our newsletter.

Machine Learning 139

Machine Learning Computer Vision ML AI Researcher 139

Marktechpost

APRIL 1, 2024

The machine learning research group at Guide Labs is stepping up to the plate and creating foundation models that are easy to understand and use. This openness is vital for AI models to be used ethically and responsibly. A big problem in artificial intelligence is that existing models could be clearer.

Explainability 102

Explainability AI Researcher AI Research Machine Learning 102

Marktechpost

MARCH 16, 2024

As the Stanford University research team continues to refine and expand pyvene’s capabilities, they underscore the library’s potential for fostering innovation in AI research. The introduction of pyvene marks a significant step in understanding and improving neural models.

Machine Learning 142

Machine Learning Python Artificial Intelligence Artificial Intelligence 142

Marktechpost

NOVEMBER 14, 2023

In a significant advancement in weather forecasting technology, Google DeepMind has introduced GraphCast, a groundbreaking machine-learning model. The post Meet DeepMind’s GraphCast: A Leap Forward in Machine Learning-Powered Weather Forecasting appeared first on MarkTechPost. We are also on Telegram and WhatsApp.

Machine Learning 106

Machine Learning AI Tools AI Researcher AI Research 106

Marktechpost

OCTOBER 28, 2023

However, many of these studies focused on batch learning, where data is collected over time, and the machine learning model is trained in batches. In machine learning, batch learning involves processing data in discrete chunks over time. Join our AI Channel on Whatsapp. We are also on WhatsApp.

Machine Learning 106

Machine Learning Explainability AI Researcher AI Research 106

Marktechpost

DECEMBER 9, 2023

To address these limitations, MIT and ETH Zurich researchers have pioneered a data-driven machine-learning technique that promises to revolutionize how we approach and solve complex logistical challenges. The innovative leap lies in integrating machine learning into the MILP solver framework.

Machine Learning 123

Machine Learning Algorithm AI Researcher AI Research 123

Marktechpost

SEPTEMBER 1, 2023

Machine learning (ML) has been used increasingly in weather forecasting in recent years. The goal is to facilitate efficient machine learning operations and guarantee reproducible findings by publicly making evaluation codes and data available. If you like our work, you will love our newsletter.

Machine Learning 127

Machine Learning ML AI AI 127

Marktechpost

NOVEMBER 28, 2023

With the constant advancements in technology, Artificial Intelligence is successfully enabling computers to think and learn in a manner comparable to that of humans by imitating human brainpower. LLMs are finetuned using the concept of a Machine Learning paradigm called Reinforcement Learning.

Machine Learning 121

Machine Learning Neural Network Artificial Intelligence Artificial Intelligence 121

Marktechpost

DECEMBER 25, 2023

Researchers from the University of Texas at Austin Introduce a new spectrum of domain-agnostic models diverging from traditional physics-based approaches. The novel methodology employs large-scale, overparametrized statistical learning models, such as transformers and hierarchical neural networks. Can machine learning predict chaos?

Machine Learning 135

Machine Learning Neural Network AI Researcher AI Research 135

Marktechpost

DECEMBER 22, 2023

Also, don’t forget to join our 34k+ 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.

Machine Learning 134

Machine Learning Large Language Models Neural Network LLM 134

Flipboard

OCTOBER 16, 2023

A tool that could suggest new personalized research directions and ideas by taking insights from the scientific literature could profoundly accelerate the progress of science. The number of publications in artificial intelligence (AI) has been increasing exponentially and staying on top of progress in the field is a challenging task.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Machine Learning AI Researcher 123

Marktechpost

DECEMBER 1, 2023

Addressing these challenges head-on, researchers present an advanced model to predict voxel-by-voxel intratumoral liposome accumulation and IFP using pre and post-administration imaging data. The post This AI Research Presents a Physics-Based Deep Learning for Predicting IFP and Liposome Accumulation appeared first on MarkTechPost.

Deep Learning 113

Deep Learning AI Researcher AI Research Machine Learning 113