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 82

Machine Learning Data Scarcity Algorithm AI Researcher 82

Marktechpost

DECEMBER 15, 2023

To address this issue, a team of researchers from Apple has introduced DeepPCR, a unique algorithm that seeks to speed up neural network training and inference. The team has employed the Parallel Cyclic Reduction (PCR) algorithm to retrieve this solution. If you like our work, you will love our newsletter.

Neural Network 121

Neural Network Machine Learning Algorithm Deep Learning 121

Marktechpost

JULY 14, 2023

Industry and academia increasingly focus on machine learning (ML) optimization in computer architecture research to meet stringent domain-specific requirements. The use of machine learning (ML) to simplify the process of exploring design space for domain-specific architectures has become widespread.

Machine Learning 98

Machine Learning Algorithm ML AI 98

Marktechpost

SEPTEMBER 1, 2023

Researchers have been exploring behavioral and physiological biometrics for enhancing mobile device security. Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. These methods leverage unique user characteristics like typing patterns and facial features.

Deep Learning 89

Deep Learning Machine Learning Algorithm Convolutional Neural Networks 89

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

JANUARY 12, 2024

.’ To tackle these challenges, the research community has employed a range of methodologies. The backbone of most diarization systems is a combination of voice activity detection, speaker turn detection, and clustering algorithms. These systems typically fall into two categories: modular and end-to-end systems.

Large Language Models 122

Large Language Models Machine Learning LLM AI Researcher 122

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. Four algorithms were employed: XGBoost, autoencoders, ANN, and SVM.

Machine Learning 88

Machine Learning AI Researcher AI Research Neural Network 88

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 122

Machine Learning Algorithm AI Researcher AI Research 122

Marktechpost

NOVEMBER 14, 2023

Accompanied by real noisy motion capture data, ground truth expert data, and sub-optimal data, the benchmark facilitates comprehensive evaluation of IL algorithms across difficulty levels. LocoMuJoCo is an extensive benchmark for imitation learning in locomotion tasks, providing diverse environments and comprehensive datasets.

Algorithm 104

Algorithm Machine Learning Python AI Researcher 104

Marktechpost

DECEMBER 28, 2023

Modern object detection algorithms rely heavily on deep learning models that have been trained end-to-end. 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.

Machine Learning 93

Machine Learning AI Researcher AI Research Deep Learning 93

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. Recognizing this, the researchers sought to reinvigorate MILP solvers with a data-driven approach.

Machine Learning 119

Machine Learning Algorithm AI Researcher AI Research 119

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 128

Machine Learning Explainability Categorization ETL 128

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 77

Machine Learning Artificial Intelligence Artificial Intelligence AI 77

Marktechpost

SEPTEMBER 16, 2023

The researchers have suggested PagedAttention, an attention algorithm inspired by the traditional virtual memory and paging techniques in operating systems, as a solution to this problem. To further reduce memory utilization, the researchers have also deployed vLLM. Check out the Paper , Github , and Reference Article.

Machine Learning 141

Machine Learning LLM Large Language Models Algorithm 141

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 122

Neural Network Machine Learning Natural Language Processing Computer Vision 122

Marktechpost

DECEMBER 18, 2023

Quantum machine learning and variational quantum algorithms were formerly hot topics, but the desert plateau event dampened their initial excitement. Due to the exponential training resources required, variational quantum algorithms are not scalable in such settings. Check out the Paper.

Machine Learning 98

Machine Learning Algorithm AI Researcher AI Research 98

Marktechpost

DECEMBER 24, 2023

All credit for this research goes to the researchers of this project. 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. New Research Alert!

Machine Learning 109

Machine Learning Large Language Models Algorithm LLM 109

Marktechpost

JULY 23, 2023

The lack of data consistency, inadequate formatting, and the desire for significant, labeled datasets have all contributed to the limited success of recent advancements in machine learning, which have enabled quick and more complex visual data analysis.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Machine Learning Algorithm 85

Flipboard

JUNE 7, 2023

Google’s artificial intelligence (AI) research lab DeepMind has achieved a remarkable feat in computer science through its latest AI system, AlphaDev. This specialized version of AlphaZero has made a significant breakthrough by uncovering faster sorting and hashing algorithms, which are essential …

Algorithm 147

Algorithm Artificial Intelligence Artificial Intelligence AI Researcher 147

Marktechpost

JANUARY 18, 2024

AI systems struggle to adapt to diverse environments outside their training data, which is critical in areas like self-driving cars, where failures can have catastrophic consequences. This issue has prompted dedicated research groups, workshops, and societal considerations.

Machine Learning 113

Machine Learning Algorithm AI AI 113

Marktechpost

MAY 17, 2024

The study uses KL divergence from the supervised fine-tuned (SFT) policy to compare performance across algorithms and budgets, revealing persistent differences. The study complements previous work on RLHF by comparing online and offline RLHF algorithms. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

AI Researcher 96

AI Researcher AI Research Algorithm Explainability 96

Marktechpost

SEPTEMBER 8, 2023

The results obtained are intriguing and demonstrate the potential of the proposed design method; however, the work could be expanded to more complex MZM models, such as including the electrode-related parameters, or to test other heuristic optimization algorithms, such as particle swarm optimization or genetic algorithms.

Deep Learning 89

Deep Learning Algorithm AI Researcher AI Research 89

Towards AI

AUGUST 6, 2023

Are you overwhelmed by the recent progress in machine learning and computer vision as a practitioner in academia or in the industry? Motivation Recent updates in machine learning (ML) and computer vision (CV) are a mouthful, from Stable Diffusion for generative artificial intelligence (AI) to Segment Anything as foundation models.

Computer Vision 92

Computer Vision Machine Learning Robotics ML 92

Marktechpost

DECEMBER 11, 2023

Reinforcement Learning (RL) is a subfield of Machine Learning in which an agent takes suitable actions to maximize its rewards. In reinforcement learning, the model learns from its experiences and identifies the optimal actions that lead to the best rewards. If you like our work, you will love our newsletter.

AI Researcher 123

AI Researcher AI Research AI AI 123

Marktechpost

DECEMBER 27, 2023

Privacy in machine learning models has become a critical concern owing to Membership Inference Attacks (MIA). MIA’s scope spans various scenarios, from statistical models to federated and privacy-preserving machine learning. All credit for this research goes to the researchers of this project.

Machine Learning 95

Machine Learning Deep Learning Algorithm AI Researcher 95

Marktechpost

DECEMBER 5, 2023

Machine learning has emerged as a very important tool in healthcare, revolutionizing various aspects of the industry. Earlier, machine learning models were used to detect patients susceptible to infection and support Infection Prevention and Control (IPC) programs. If you like our work, you will love our newsletter.

Machine Learning 93

Machine Learning Neural Network Algorithm AI Researcher 93

Marktechpost

NOVEMBER 27, 2023

Researchers from McMaster University and FAIR Meta have developed a new machine learning (ML) technique for orbital-free density functional theory (OF-DFT). Gradient-based algorithms are used for total energy optimization, while Monte Carlo sampling is utilized for relevant quantities. Check out the Paper.

Machine Learning 102

Machine Learning Neural Network ML Algorithm 102

Marktechpost

DECEMBER 12, 2023

A team of researchers from Vector Institute, University of Waterloo, and Peking University introduced EAGLE (Extrapolation Algorithm for Greater Language-Model Efficiency) to combat the challenges inherent in LLM decoding. All credit for this research goes to the researchers of this project.

LLM 108

LLM Machine Learning Natural Language Processing Large Language Models 108

Marktechpost

NOVEMBER 19, 2023

Researchers from the University of Washington and Microsoft have introduced a cutting-edge concept: noise-canceling headphones with semantic hearing capabilities driven by advanced machine learning algorithms. The team elaborated on the central hurdle that propelled their innovative endeavor.

Machine Learning 110

Machine Learning Neural Network Algorithm AI Researcher 110

Marktechpost

AUGUST 11, 2023

A research team from the University of Pennsylvania has explored an innovative machine-learning algorithm that can help unveil the hidden connections between amino-acid mismatches (AA-MMs) and the likelihood of graft failure. crossover) and ‘mutating’ (i.e., replacing, adding, and deleting) the AA positions within bins.

Machine Learning 93

Machine Learning Algorithm AI Researcher AI Research 93

Marktechpost

SEPTEMBER 16, 2023

In the paper titled “ Considering Biased Data as Informative Artifacts in AI-Assisted Health Care ,” three researchers argue that we should see biased medical data as valuable artifacts in archaeology or anthropology. Researchers need to be ready to investigate such corrections during their research.

Machine Learning 99

Machine Learning Computer Scientist Algorithm AI Researcher 99

Marktechpost

AUGUST 15, 2023

Machine Learning (ML) has indeed been undergoing rapid expansion and integration across many fields, revolutionizing how we approach problems and enhancing our ability to extract valuable insights from data. Adversarial attacks work by identifying and exploiting the features used by a machine learning model.

Machine Learning 85

Machine Learning Neural Network AI AI 85

Marktechpost

FEBRUARY 23, 2024

Recent innovations by researchers of Google DeepMind, University of California San Diego, and Texas A&M University have led to the development of sophisticated data selection methods that aim to elevate model performance by focusing on the quality and diversity of the training data. Check out the Paper.

Large Language Models 86

Large Language Models Machine Learning LLM AI Modeling 86

Marktechpost

NOVEMBER 29, 2023

The availability of real-world driving data and developments in machine learning have largely contributed to the boom of data-driven car-following models during the past decade. Models that rely on data to follow a vehicle include neural networks, recurrent neural networks, and reinforcement learning.

AI Researcher 94

AI Researcher AI Research Neural Network Algorithm 94

Marktechpost

OCTOBER 28, 2023

However, a team of researchers from NVIDIA, UPenn, Caltech, and UT Austin have developed an algorithm called EUREKA that uses advanced LLMs, such as GPT-4, to create reward functions for complex skill acquisition through reinforcement learning. Join our AI Channel on Whatsapp. We are also on WhatsApp.

Large Language Models 126

Large Language Models Algorithm Robotics LLM 126

Marktechpost

JULY 11, 2023

To have a discovery via a Machine Learning algorithm, we need to have a large dataset of training data. This can be solved via Machine Learning and Deep Learning approaches. The team of researchers created a Machine Learning model that automatically learns the language of molecules.

Machine Learning 94

Machine Learning Deep Learning AI Tools Algorithm 94

Marktechpost

SEPTEMBER 29, 2023

BetterWorseSame It has been said that information theory and machine learning are “two sides of the same coin” because of their close relationship. The post How Large Language Models are Redefining Data Compression and Providing Unique Insights into Machine Learning Scalability?

Large Language Models 125

Large Language Models Machine Learning Algorithm AI Researcher 125