AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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1,893 papers
Information and communication technologies (ICT) have become essential for delivering healthcare services in a faster, more accessible, and data-driven manner. At the same time, the growing scale of digital health data has raised concerns about privacy, security, and the effective use of distributed data sources. In th...
Artificial intelligence in medical imaging is becoming more common to improve clinical decision-making and accuracy of the diagnostic findings. Nevertheless, the high-level centralization of medical image storage and processing brings up serious challenges related to the privacy, security of data, regulatory advocacy,...
Decentralized learning ecosystems powered by blockchain, federated machine learning, and immersive metaverse environments are fundamentally reshaping educational data architecture and student engagement paradigms. This chapter presents a comprehensive investigation into AI-driven student performance prediction within t...
Objective. The objective of the research is to develop an architecture for a self-regulating Security Operations Center (SOC) that ensures autonomous adaptation of agents to new threats by combining federated learning with post-quantum secure model aggregation mechanisms based on lattice cryptography, while simultaneou...
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Federated learning across device tiers that differ in sensing capability, using echo state networks with validation-gated aggregation and per-tier personalised readouts, evaluated on the PhysioNet/CinC Challenge 2021 ECG data.
Federated learning across device tiers that differ in sensing capability, using echo state networks with validation-gated aggregation and per-tier personalised readouts, evaluated on the PhysioNet/CinC Challenge 2021 ECG data.
Artificial Intelligence of Things (AIoT) refers to the deliberate pairing of artificial intelligence with the sensing and connectivity that the Internet of Things (IoT) already provides, so that the data streaming in from distributed devices turns into insight and, ultimately, action [1]. A properly designed AIoT syste...
Artificial Intelligence of Things (AIoT) refers to the deliberate pairing of artificial intelligence with the sensing and connectivity that the Internet of Things (IoT) already provides, so that the data streaming in from distributed devices turns into insight and, ultimately, action [1]. A properly designed AIoT syste...
The fraud of money laundering costs the global financial system USD 800 billion to USD 2 trillion annually, while digital banking contributes to the increasing number and complexity of money laundering transactions. If there are adversarial forces that are constantly adapting their approach to avoid complying with a co...
FedCKA is proposed, a Centered Kernel Alignment (CKA)-based strategy that dynamically handles the personalization-globalization trade-off, and outperforms established federated baselines, including FedBN, FedRep, and FedSelect, improving average NDS by 7 percentage points over the strongest baseline.
This paper aims to examine the synergistic integration of Cyber-Physical Systems (CPS) and Machine Learning (ML) as a foundational enabler for Industry 5.0, focusing on creating human-centric, sustainable and resilient manufacturing ecosystems. The study utilizes a synthesis and review approach, analyzing re...
Federated learning (FL) can support collaborative smart-grid monitoring without centralizing raw telemetry, but its value relative to local and centralized learning depends on both the operating regime and the learning model. This study evaluates that hypothesis in a physics-based AC power-flow simulation framework bui...
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
Learn more about our approach to safety and security for Gemini 4 Argon.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
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