Can AI plan for heat emergencies better than simple rules? It depends

The thermometer reads 95°F (35°C) in Brooklyn, and vulnerable individuals need information to take appropriate action. New York City officials must gather facts quickly to provide updates on cooling ...
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
IEEE

Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification

Abstract: This work proposes a decision tree (DT)-based method for initializing a dendritic neuron model (DNM). Neural networks become larger and larger, thus consuming more and more computing ...
IEEE

Fault Detection in Blowfish Algorithm Using FPGA-Based Modified Decision Tree Approach

Abstract: This research article identifies the fault occurrence in the blowfish cryptography algorithm using a modified Decision Tree classifier. Though there are several cryptography algorithms, the ...
Business Wire

OpenEvidence Collaborates With NCCN to Integrate Canonical Oncology Treatment Algorithms at the Point-of-Care

MIAMI--(BUSINESS WIRE)--OpenEvidence now integrates National Comprehensive Cancer Network ® (NCCN ®) Clinical Practice Guidelines in Oncology (NCCN Guidelines ®) directly in answers, grounding ...
Singularity Hub

DeepMind’s New AI Teaches Itself to Play Minecraft From Scratch

My nephew couldn’t stop playing Minecraft when he was seven years old. One of the most popular games ever, Minecraft is an open world in which players build terrain and craft various items and tools.
acm.org

Advanced Machine Learning Algorithms for HR Analytics

In the past few years, HR has seen a significant transformation driven by the rise of machine learning tools and technology. 1 These tools extract insights, patterns, and predict trends from massive ...
The Conversation

Opening the black box: how ‘explainable AI’ can help us understand how algorithms work

When you visit a hospital, artificial intelligence (AI) models can assist doctors by analysing medical images or predicting patient outcomes based on historical data. If you apply for a job, AI ...
eWeek

Types of AI Models: A Deep Dive into AI Architecture

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
The New York Times

I Took a ‘Decision Holiday’ and Put A.I. in Charge of My Life

What can I help you with? How should I cut my hair? What should I do about my mother-in-law? What should I read? Can my daughter watch TV before breakfast? What toilet paper should I buy? Where should ...
El País in English

AI’s black box problem: Why is it still indecipherable to researchers

Some artificial intelligence algorithms, particularly neural networks, have internal processes that remain largely unknown. This lack of transparency is one of the sources of biases and hallucinations ...
Analytics Insight

Decision Trees vs. Random Forest: Which Algorithm to Choose?

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...