createLiveAI LogocreateLiveAI
Page 47 of 130 • 1560 Total Articles

createLiveAI

Continue exploring the latest AI breakthroughs, technology insights, and industry analysis. Page 47 of our comprehensive AI news collection.

All Articles 1560 Business 249 Ethics 150 General 142 Policy 12 Research 793 Startups 13 Technology 201

📰 Latest Intelligence

Showing 12 articles on page 47 of 130

Live feed
Towards Data Science
Research
How to Classify Lung Cancer Subtype from DNA Copy Numbers Using PyTorch - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

How to Classify Lung Cancer Subtype from DNA Copy Numbers Using PyTorch

A recent development in cancer research involves utilizing PyTorch, a popular deep learning framework, to classify lung cancer subtypes based on DNA copy number variations. This approach leverages advanced machine learning techniques to analyze genomic data, enabling more precise differentiation of cancer subtypes, which is critical for personalized treatment strategies. The methodology exemplifies how data science and deep learning can enhance understanding of cancer genomics, potentially leading to improved diagnostic accuracy and targeted therapies.

Machine Learning Deep Learning
Read More
Towards Data Science
Research
How I Used Machine Learning to Predict 41% of Project Delays Before They Happened - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

How I Used Machine Learning to Predict 41% of Project Delays Before They Happened

Machine learning techniques have been effectively utilized to predict approximately 41% of project delays before they occur, enabling project managers to proactively address potential risks. By analyzing historical data and identifying patterns associated with delays, data science offers a powerful tool for improving project timelines, optimizing resource allocation, and reducing overall project risk.

Machine Learning
Read More
The Hacker News
Ethics
Identity Security: Your First and Last Line of Defense - AI news coverage from The Hacker News in Ethics
Ethics
📄 The Hacker News

Identity Security: Your First and Last Line of Defense

Recent developments highlight the increasing autonomy of AI agents operating with high-level system privileges, raising concerns about their potential to execute harmful actions flawlessly, even when such actions are mistakes. This shift signifies a critical need for enhanced oversight and safeguards, as these AI agents can perform complex tasks autonomously, making errors that could lead to significant system failures or security breaches, effectively transforming automation risks into systemic vulnerabilities.

Autonomous Systems
Read More
MarkTechPost
Business
Google AI Releases C2S-Scale 27B Model that Translate Complex Single-Cell Gene Expression Data into cell sentences that LLMs can Understand - AI news coverage from MarkTechPost in Business
Business
📄 MarkTechPost

Google AI Releases C2S-Scale 27B Model that Translate Complex Single-Cell Gene Expression Data into cell sentences that LLMs can Understand

Google Research, DeepMind, and Yale have developed C2S-Scale 27B, a 27-billion-parameter foundation model designed for single-cell RNA sequencing (scRNA-seq) analysis, which formalizes gene expression profiles as 'cell sentences'ordered lists of gene symbolsenabling large language models (LLMs) to interpret cellular states natively. This innovative approach transforms high-dimensional gene expression data into a text-like format, facilitating tasks such as cell-type prediction, tissue classification, and biological question answering through standard LLM prompt and completion paradigms. Built on the Gemma

Google AI
Read More
MarkTechPost
Ethics
A Coding Guide to Build an AI-Powered Cryptographic Agent System with Hybrid Encryption, Digital Signatures, and Adaptive Security Intelligence - AI news coverage from MarkTechPost in Ethics
Ethics
📄 MarkTechPost

A Coding Guide to Build an AI-Powered Cryptographic Agent System with Hybrid Encryption, Digital Signatures, and Adaptive Security Intelligence

A new AI-powered cryptographic agent system has been developed that integrates classical encryption methods with adaptive intelligence to enhance security. These autonomous agents utilize hybrid encryption techniques combining RSA and AES, generate digital signatures, and employ anomaly detection to identify irregular message patterns, enabling real-time security assessments and dynamic key rotation recommendations. The system facilitates secure communication channels by autonomously establishing encrypted exchanges and continuously monitoring for security threats, demonstrating a significant advancement in combining cryptography with AI-driven security intelligence. This approach offers a compact, efficient implementation capable of adapting to evolving cyber threats, marking a notable step toward autonomous, intelligent cybersecurity solutions.

Autonomous Systems
Read More
Towards Data Science
Research
Feature Detection, Part 1: Image Derivatives, Gradients, and SobelOperator - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

Feature Detection, Part 1: Image Derivatives, Gradients, and SobelOperator

The article explores the application of calculus principles, specifically derivatives and gradients, to enhance edge detection in computer vision. It details how image derivatives and the Sobel operator utilize these mathematical concepts to identify boundaries within images, improving feature detection accuracy for tasks such as object recognition and image segmentation.

Computer Vision
Read More
Towards Data Science
Research
Stop Feeling Lost: How to Master ML System Design - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

Stop Feeling Lost: How to Master ML System Design

Machine learning system design involves creating scalable, efficient architectures that support the deployment, monitoring, and maintenance of ML models in real-world applications. Key innovations emphasize modularity, data pipeline optimization, and robust infrastructure to handle challenges such as model versioning, latency, and data drift, enabling practitioners to build reliable ML systems.

Machine Learning
Read More
The Hacker News
General
North Korean Hackers Use EtherHiding to Hide Malware Inside Blockchain Smart Contracts - AI news coverage from The Hacker News in General
General
📄 The Hacker News

North Korean Hackers Use EtherHiding to Hide Malware Inside Blockchain Smart Contracts

A North Korea-linked threat group, identified as UNC5342 by Google Threat Intelligence Group, has employed the EtherHiding technique for the first time to distribute malware and facilitate cryptocurrency theft. This development signifies a notable escalation in state-sponsored cyber operations, as EtherHidingoriginally designed to obfuscate Ethereum transactionsis now being exploited for malicious purposes by a nation-state actor.

Google AI
Read More
Towards Data Science
Research
A Beginners Guide to Robotics with Python - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

A Beginners Guide to Robotics with Python

The article introduces PyBullet, an open-source physics simulation library that enables users to create realistic 3D robotic environments using Python. It highlights how PyBullet facilitates the development, testing, and visualization of robotic algorithms and systems, making it a valuable tool for beginners and researchers in robotics and AI development.

Robotics
Read More
Towards Data Science
Research
How to Evaluate Retrieval Quality in RAG Pipelines: Precision@k, Recall@k, and F1@k - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

How to Evaluate Retrieval Quality in RAG Pipelines: Precision@k, Recall@k, and F1@k

The article discusses advancements in Retrieval-Augmented Generation (RAG) pipelines, emphasizing the importance of evaluating retrieval quality through metrics such as Precision@k, Recall@k, and F1@k. It highlights the process of transforming large text documents into embeddings for efficient similarity search within vector databases and explores techniques like reranking to improve retrieval accuracy, thereby enhancing the overall performance of RAG systems.

Read More
Towards Data Science
Research
Prompt Engineering for Time-Series Analysis with Large Language Models - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

Prompt Engineering for Time-Series Analysis with Large Language Models

The article introduces a novel approach to time-series analysis by leveraging prompt engineering techniques tailored for large language models (LLMs). It emphasizes developing specialized prompts that enable LLMs to effectively interpret, forecast, and extract insights from complex temporal data, thereby enhancing the accuracy and applicability of AI-driven time-series solutions.

Read More
Towards Data Science
Research
How to Build Tools for AI Agents - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

How to Build Tools for AI Agents

The article outlines methodologies for designing and constructing effective tools tailored for AI agents, emphasizing the importance of creating interfaces that enhance AI capabilities and performance. It discusses key considerations such as modularity, interoperability, and user-centric design to ensure that these tools can seamlessly integrate with AI systems, thereby enabling more efficient and adaptable autonomous agents.

Autonomous Systems
Read More
Previous Page
1 2 3 4 5 6 7 ... 130
Next Page

Page 47 of 130 • Showing articles 553-564 of 1560

Quick Navigation

Jump to any page or browse by category

Latest (Page 1) Business 249 Ethics 150 General 142 Policy 12 Research 793 Startups 13