Unite.AI

SEPTEMBER 22, 2024

Recent years have witnessed significant strides in the field of microscale robotics , pushing the boundaries of what's possible at the miniature level. These advancements have paved the way for potential breakthroughs in areas ranging from medical applications to environmental monitoring. In this landscape of innovation, researchers at Cornell University have made a noteworthy contribution, developing microscale robots that can transform their shape on command.

Robotics 141

Robotics 141

Marktechpost

SEPTEMBER 22, 2024

Chain-of-thought (CoT) prompting has emerged as a popular technique to enhance large language models’ (LLMs) problem-solving abilities by generating intermediate steps. Despite its better performance in mathematical reasoning, CoT’s effectiveness in other domains remains questionable. Current research is focused more on mathematical problems, possibly overlooking how CoT could be applied more broadly.

Natural Language Processing 121

Natural Language Processing Large Language Models ML AI 121

Machine Learning Mastery

SEPTEMBER 22, 2024

This post dives into the application of tree-based models, particularly focusing on decision trees, bagging, and random forests within the Ames Housing dataset. It begins by emphasizing the critical role of preprocessing, a fundamental step that ensures our data is optimally configured for the requirements of these models. The path from a single decision tree […] The post From Single Trees to Forests: Enhancing Real Estate Predictions with Ensembles appeared first on MachineLearningMastery

Data Science 54

Data Science 54

Marktechpost

SEPTEMBER 22, 2024

Governments and humanitarian organizations need reliable data on building and infrastructure changes over time to manage urbanization, allocate resources, and respond to crises. However, many regions across the Global South need more access to timely and accurate data on buildings, making it difficult to track urban growth and infrastructure development.

Machine Learning 109

Machine Learning AI AI ML 109

Advertisement

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

Pickl AI

SEPTEMBER 22, 2024

Summary: Linear algebra underpins many analytical techniques in Data Science. Understanding vectors, matrices, and their applications, like PCA, improves data manipulation skills and enhances algorithm performance in real-world problems. Introduction Linear algebra for Data Science forms the backbone of many analytical and Machine Learning techniques.

Data Science 52

Data Science Machine Learning Algorithm Data Scientist 52

Artificial Lawyer

SEPTEMBER 22, 2024

Can an AI system help a litigant to win their case in court?

AI 68

AI AI 68

Marktechpost

SEPTEMBER 22, 2024

Federated learning (FL) is a powerful ML paradigm that enables multiple data owners to train models without centralizing their data collaboratively. This approach is particularly valuable in domains where data privacy is critical, such as healthcare, finance, and the energy sector. The core of federated learning lies in training models on decentralized data stored on each client’s device.

Machine Learning 76

Machine Learning AI AI ML 76

TheSequence

SEPTEMBER 22, 2024

Created Using Ideogram Next Week in The Sequence: Edge 433: Our series about SSM continues with the introduction of the SAMBA model and the concept and SSMs for long-context windows. We review the original SAMBA paper and Microsoft’s Task Weaver agent for analytic workloads. Edge 434: We dive into DeepMind’s amazing GameNGen model that can simulate an entire game of Doom in real time.

AI 52

AI AI ML Large Language Models 52

Marktechpost

SEPTEMBER 22, 2024

Artificial Intelligence (AI) safety has become an increasingly crucial area of research, particularly as large language models (LLMs) are employed in various applications. These models, designed to perform complex tasks such as solving symbolic mathematics problems, must be safeguarded against generating harmful or unethical content. With AI systems growing more sophisticated, it is essential to identify and address the vulnerabilities that arise when malicious actors try to manipulate these mod

AI 71

AI AI Large Language Models Artificial Intelligence 71

Speaker: Michael Mansard

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Bugra Akyildiz

SEPTEMBER 22, 2024

Articles State Space Sequence Models is proposed to be a net iteration on the modeling front to the transformers for some time and Chetan Nichkawde wrote a blog post on some of its properties for State Space Sequence Models. It starts with some good properties for transformers, and then, afterwards, the blog post talks about the state space sequence models and its properties and other advantages to the existing modeling approaches like Transformers.

Neural Network 52

Neural Network LLM Large Language Models Data Ingestion 52

Marktechpost

SEPTEMBER 22, 2024

Federated Learning (FL) is a technique that allows Machine Learning models to be trained on decentralized data sources while preserving privacy. This method is especially helpful in industries like healthcare and finance, where privacy issues prevent data from being centralized. However, there are big problems when trying to include Homomorphic Encryption (HE) to protect the privacy of the data while it’s being trained.

Machine Learning 63

Machine Learning ML AI AI 63

Marktechpost

SEPTEMBER 22, 2024

Computational reproducibility poses a significant challenge in scientific research across various fields, including psychology, economics, medicine, and computer science. Despite the fundamental importance of reproducing results using provided data and code, recent studies have exposed severe shortcomings in this area. Researchers face numerous obstacles when replicating studies, even when code and data are available.

Python 58

Python Neural Network Automation Machine Learning 58

Marktechpost

SEPTEMBER 22, 2024

Input space mode connectivity in deep neural networks builds upon research on excessive input invariance, blind spots, and connectivity between inputs yielding similar outputs. The phenomenon exists generally, even in untrained networks, as evidenced by empirical and theoretical findings. This research expands the scope of input space connectivity beyond out-of-distribution samples, considering all possible inputs.

Neural Network 58

Neural Network Explainability Algorithm ML 58

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

Marktechpost

SEPTEMBER 22, 2024

Algorithm 58

Algorithm 58

Marktechpost

SEPTEMBER 22, 2024

Artificial intelligence (AI) has given rise to powerful models capable of performing diverse tasks. Two of the most impactful advancements in this space are Retrieval-Augmented Generation (RAG) and Agents, which play distinct roles in improving AI-driven applications. However, the emerging concept of Agentic RAG presents a hybrid model that utilizes the strengths of both systems.

Chatbots 136

Chatbots AI AI Neural Network 136

Marktechpost

SEPTEMBER 22, 2024

In artificial intelligence and natural language processing, long-context reasoning has emerged as a crucial area of research. As the volume of information that needs to be processed grows, machines must be able to synthesize and extract relevant data from massive datasets efficiently. This goes beyond simple retrieval tasks, requiring models to locate specific pieces of information and understand complex relationships within vast contexts.

Large Language Models 110

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 110