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Josh Tobin of Gantry on Continual Learning Benefits and Challenges

ODSC - Open Data Science

Recently, we spoke with Josh Tobin, CEO & Founder of Gantry, about the concept of continual learning and how allowing models to learn & evolve with a continuous flow of data while retaining previously-learned knowledge can allow models to adapt and scale. What is continual learning?

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The Future of Cybersecurity: AI, Automation, and the Human Factor

Unite.AI

Protecting digital assets requires harnessing the power of AI and automation while ensuring skilled human analysts remain integral to the security posture. Leveraging AI and Automation Deploying AI and machine learning (ML) models tailored to each of these attack classes is critical for proactive threat detection and prevention.

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Continual Learning: Methods and Application

The MLOps Blog

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

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Pascal Bornet, Author of IRREPLACEABLE & Intelligent Automation – Interview Series

Unite.AI

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. It's true that the specter of job losses due to AI automation is a real fear for many.

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Heico Sandee, Founder and CEO of Smart Robotics – Interview Series

Unite.AI

Smart Robotics offers technology and services designed to automate pick-and-place stations in fulfillment centers. However, in today’s society there is an ever increasing and varying consumer demand, which is why logistics- and production companies are in need of more flexible and innovative pick & place automation.

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A Brain-Inspired Learning Algorithm Enables Metaplasticity in Artificial and Spiking Neural Networks

Marktechpost

Neuromodulators like dopamine, noradrenaline, serotonin, and acetylcholine work at many synapses and come from widely scattered axons of specific neuromodulatory neurons to produce global modulation of synapses during reward-associated learning.

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TickLab: Revolutionizing Finance with AI-Powered Quant Hedge Fund and E.D.I.T.H.

AI News

By utilising sophisticated ML algorithms, we can predict market movements with high precision, allowing us to execute trades at optimal times. Deep learning, a subset of ML, plays a crucial role in our data analysis and decision-making processes. Our AI-driven approach extends beyond simple automation.