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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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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 Dual-Edged Sword of AI in Cybersecurity: Opportunities, Threats, and the Road Ahead

Unite.AI

Automated Network Penetration AI will streamline the process of reconnaissance and network penetration. In addition, expanding work in the fields of “algorithmic transparency” and “mechanistic interpretability” are aiming to make AI systems functionality more understandable.

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Fermata Secures $10 Million Series A Funding to Revolutionize Agriculture with AI

Unite.AI

The investment will accelerate Fermatas mission to transform the horticulture industry by building a centralized digital brain that combines advanced data analysis, AI-driven insights, and continuous learning to empower growers worldwide. Continuously learns from gathered data to improve accuracy and predictions.

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Revolutionizing the Classroom: The New Era of AI-Enhanced Learning

Unite.AI

Unlike traditional computer programs that are designed to follow a strict set of rules, AI systems learn from data and improve over time. You do not have to explicitly program an AI to navigate a maze; you can train it to learn how to do so by itself. And what about automated assessments ?

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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.

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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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