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Yariv Fishman, Chief Product Officer at Deep Instinct – Interview Series

Unite.AI

Deep Instinct is a cybersecurity company that applies deep learning to cybersecurity. As I learned about the possibilities of predictive prevention technology, I quickly realized that Deep Instinct was the real deal and doing something unique. He holds a B.Sc Not all AI is equal.

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GNNBench: A Plug-and-Play Deep Learning Benchmarking Platform Focused on System Innovation

Marktechpost

The absence of a standardized benchmark for Graph Neural Networks GNNs has led to overlooked pitfalls in system design and evaluation. Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on deep learning frameworks. Million AI Audience?

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AI and Blockchain Integration for Preserving Privacy

Unite.AI

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

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Google AI Researchers Investigate Temporal Distribution Shifts in Deep Learning Models for CTG Analysis

Marktechpost

Google researchers addressed the challenge of variability and subjectivity in clinical experts’ interpretation of visual cardiotocography (CTG), specifically focusing on predicting fetal hypoxia, a dangerous condition of oxygen deprivation during labor, using deep learning techniques. Click here to set up a call!

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Unlocking the Power of Sentiment Analysis with Deep Learning

John Snow Labs

Spark NLP’s deep learning models have achieved state-of-the-art results on sentiment analysis tasks, thanks to their ability to automatically learn features and representations from raw text data. There are separate blog posts for the rule-based systems and for statistical methods.

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A Comprehensive Review of Blockchain in AI

Unite.AI

Even today, a vast chunk of machine learning and deep learning techniques for AI models rely on a centralized model that trains a group of servers that run or train a specific model against training data, and then verifies the learning using validation or training dataset.

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OAK-D: Understanding and Running Neural Network Inference with DepthAI API

PyImageSearch

Table of Contents OAK-D: Understanding and Running Neural Network Inference with DepthAI API Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Its goal is to combine and optimize five key attributes: Deep Learning, Computer Vision, Depth perception, Performance (e.g.,