Category: News

The Subset Sum Problem Solved in Linear Time for Dense Enough InputsTowards Data Science An optimal solution to the well-known NP-complete problem, when the input values are close enough to each other.
The post The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs appeared first on Towards Data Science.

 An optimal solution to the well-known NP-complete problem, when the input values are close enough to each other.
The post The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs appeared first on Towards Data Science. Read More  

5 Top AI-Powered App BuildersKDnuggets Take a tour of 5 of the most popular AI-powered app builders out there to leverage automation in the process of building software.

 Take a tour of 5 of the most popular AI-powered app builders out there to leverage automation in the process of building software. Read More  

Evaluating chain-of-thought monitorabilityOpenAI News OpenAI introduces a new framework and evaluation suite for chain-of-thought monitorability, covering 13 evaluations across 24 environments. Our findings show that monitoring a model’s internal reasoning is far more effective than monitoring outputs alone, offering a promising path toward scalable control as AI systems grow more capable.

 OpenAI introduces a new framework and evaluation suite for chain-of-thought monitorability, covering 13 evaluations across 24 environments. Our findings show that monitoring a model’s internal reasoning is far more effective than monitoring outputs alone, offering a promising path toward scalable control as AI systems grow more capable. Read More  

Guided learning lets “untrainable” neural networks realize their potentialMIT News – Machine learning CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.

 CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method. Read More  

The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in ExcelTowards Data Science Neural networks are often presented as black boxes, hidden behind high-level libraries and abstract concepts.
In this article, we build a neural network classifier from scratch using Excel, with every computation written explicitly.
Starting from forward propagation and ending with backpropagation, we show how the model is defined as a simple mathematical function and how its parameters are learned using gradient descent. No shortcuts, no hidden steps, just the mechanics that make neural networks work.
The post The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel appeared first on Towards Data Science.

 Neural networks are often presented as black boxes, hidden behind high-level libraries and abstract concepts.
In this article, we build a neural network classifier from scratch using Excel, with every computation written explicitly.
Starting from forward propagation and ending with backpropagation, we show how the model is defined as a simple mathematical function and how its parameters are learned using gradient descent. No shortcuts, no hidden steps, just the mechanics that make neural networks work.
The post The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel appeared first on Towards Data Science. Read More  

Build and deploy scalable AI agents with NVIDIA NeMo, Amazon Bedrock AgentCore, and Strands AgentsArtificial Intelligence This post demonstrates how to use the powerful combination of Strands Agents, Amazon Bedrock AgentCore, and NVIDIA NeMo Agent Toolkit to build, evaluate, optimize, and deploy AI agents on Amazon Web Services (AWS) from initial development through production deployment.

 This post demonstrates how to use the powerful combination of Strands Agents, Amazon Bedrock AgentCore, and NVIDIA NeMo Agent Toolkit to build, evaluate, optimize, and deploy AI agents on Amazon Web Services (AWS) from initial development through production deployment. Read More  

Prompt Engineering for Data Quality and Validation ChecksKDnuggets Prompt engineering is not just about asking models the right questions — it is about structuring those questions to think like a data auditor. When used correctly, it can make quality assurance faster, smarter, and far more adaptable than traditional scripts.

 Prompt engineering is not just about asking models the right questions — it is about structuring those questions to think like a data auditor. When used correctly, it can make quality assurance faster, smarter, and far more adaptable than traditional scripts. Read More  

Bi-directional streaming for real-time agent interactions now available in Amazon Bedrock AgentCore RuntimeArtificial Intelligence In this post, you will learn about bi-directional streaming on AgentCore Runtime and the prerequisites to create a WebSocket implementation. You will also learn how to use Strands Agents to implement a bi-directional streaming solution for voice agents.

 In this post, you will learn about bi-directional streaming on AgentCore Runtime and the prerequisites to create a WebSocket implementation. You will also learn how to use Strands Agents to implement a bi-directional streaming solution for voice agents. Read More  

4 Ways to Supercharge Your Data Science Workflow with Google AI StudioTowards Data Science With concrete examples of using AI Studio Build mode to learn faster, prototype smarter, communicate clearer, and automate quicker.
The post 4 Ways to Supercharge Your Data Science Workflow with Google AI Studio appeared first on Towards Data Science.

 With concrete examples of using AI Studio Build mode to learn faster, prototype smarter, communicate clearer, and automate quicker.
The post 4 Ways to Supercharge Your Data Science Workflow with Google AI Studio appeared first on Towards Data Science. Read More