New Approaches in Unlearning Sensitive Information from AI Models

New Approaches in Unlearning Sensitive Information from AI Models

Summary:

Unlearning sensitive information from language generation models has become a crucial undertaking to ensure privacy and security. This process involves modifying models after training to intentionally forget certain elements of their training data. While unlearning has gained attention in classification models, there is still a need to focus on generative models like Language Models (LLMs).… Read the rest

New AI Algorithm Helps Predict Inverter Failures in Solar Power Plants

New AI Algorithm Helps Predict Inverter Failures in Solar Power Plants

A group of researchers at the University of Lisbon has developed an advanced machine learning algorithm that can successfully classify and predict potential inverter failures in utility-scale photovoltaic (PV) plants. By monitoring the inverter subsystems and analyzing data, the algorithm is able to detect when maximum and minimum values are reached, and it sends alarms to alert operators of potential failures.… Read the rest

Title: Government Contractors Prepare for Impactful Changes Following Executive Order on AI

Title: Government Contractors Prepare for Impactful Changes Following Executive Order on AI

Summary:
The recent signing of the Executive Order (EO) on the Safe, Secure and Trustworthy Development and Use of Artificial Intelligence by President Biden has significant implications for government contractors. While the EO encompasses various mandates affecting commercial entities, Sections 9 and 10 specifically address the protection of privacy and the advancement of AI within the federal government.… Read the rest

A New Era of Efficient Information Routing: Introducing Mosaic

A New Era of Efficient Information Routing: Introducing Mosaic

In a recent groundbreaking discovery, researchers from CEA-LETI Université Grenoble Alpes, University of Zurich, and ETH Zurich have unveiled a revolutionary approach to neural network circuit architectures. Their technical paper, titled “Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems,” presents an innovative systolic architecture called Mosaic that leverages distributed memristors for efficient information routing and computation within Spiking Neural Networks (SNNs).… Read the rest

Growing Concerns over Geopolitical Tensions in Davos

Growing Concerns over Geopolitical Tensions in Davos

As global leaders gather in Davos, Switzerland for the World Economic Forum (WEF), concerns about escalating geopolitical tensions are taking center stage. The annual gathering, which aims to rebuild trust and address global challenges, is being overshadowed by potential flash points in Ukraine, the Middle East, and Taiwan, further destabilizing an already shaky global economy.… Read the rest

Privacy policy
Contact