KPMG report: AI and IoT M&A activity in 2024

FlowXpert: Context-Aware Flow Embedding for Enhanced Traffic Detection in IoT Network: With the rapid proliferation of the IoT, a huge number of interconnected devices are continuously generating and exchanging data over the network. #iot #data #internetofthings

AI learns. IoT senses. But together, they can reason. Today, at the Summit of Things, Dr. Scott Gerard will explore the evolution of AI, from rule-based reasoning to data-hungry learning systems. He'll also discuss why neither approach alone is enough for the connected world we’re building. Through concepts like neural-symbolic computing and physics-informed neural networks, Dr. Scott shows how hybrid intelligence can enable smarter, more context-aware IoT systems that understand why, not just what. If your organization is working toward intelligent automation, this is a session that connects the dots between theory and application. 🔗 Join the conversation: https://hubs.ly/Q03PqD9b0 #AIoT #EdgeComputing #Sponsored

Advancing Intrusion Detection in Industrial IoT through Time Series Analysis and Attention ... - SSRN: The rapid expansion of the Industrial Internet of Things (IIoT) has led to an increase in cyberattacks targeting critical infrastructure, ... #iot #data #internetofthings

Enhanced Predictive Maintenance via Federated Learning & Causal Graph Extraction 1. Introduction Predictive maintenance (PdM) is crucial for minimizing downtime and optimizing asset utilization across diverse industries. Current PdM systems often rely on centralized data, limiting scalability and raising privacy concerns. This paper introduces a novel framework for enhanced PdM leveraging federated learning (FL) and causal graph extraction (CGE) to improve predictive accuracy while preserving data privacy. Our approach dynamically learns asset-specific failure modes through distributed training and identifies causal relationships between sensor data and equipment degradation, enabling proactive maintenance interventions. This framework is instantly commercializable, utilizing proven technologies within the 전자 지원책 (ESM) domain (specifically, industrial IoT analytics). Traditional PdM techniques involve analyzing historical machine data to identify patterns indicative of impending failure. Machine learning models, such as recurrent neural networks (RNNs) and suppor https://lnkd.in/g_DPv3Fh

Bittium launches Embedded AI for telecom, IoT, defense & satellite markets—enabling smarter on-device solutions. In collaboration with Qualcomm’s Edge Impulse. Focus: scalable, intelligent edge innovation. #EdgeAI #IoT #Bittium https://lnkd.in/gRZtxj_R

I'm thrilled to announce the publication of my new research paper: “Bio-Inspired AI for IoT Networks: Swarm Intelligence and Neural Models for Adaptive Decision Making.” IoT networks face tough challenges with energy, bandwidth, and latency. My paper explores how bio-inspired AI—from swarm intelligence (ants, particles, and beyond) to neural models (deep RL, GNNs, federated learning, spiking NNs)—can help these systems become smarter, more adaptive, and more efficient. We also propose BioAdapt-IoT, a hybrid framework where swarm agents handle local tasks while neural components learn long-term strategies for resilient IoT performance. Excited about how these ideas can push forward the future of AI-driven IoT! 🌐🤖 📖https://lnkd.in/g5WYivYj #AI #IoT #SwarmIntelligence #NeuralNetworks #BioInspiredAI #Research

The future of AI is open, efficient, and happening at the Edge. Our own Abdel Younes, Senior Director, Machine Learning Frameworks and Billy Rutledge, Director at Google Research, explore how the new Synaptics Torq™ platform—featuring Google’s open-source Coral NPU—is redefining what’s possible for AI-native compute at the Edge. The post dives into how openness, scalability, and real-world efficiency are breaking down the barriers that have held back #Edge AI innovation. Together, we’re enabling developers to build the next generation of intelligent, context-aware devices powered by Synaptics Astra™ AI-Native compute. Read the full blog: https://bit.ly/47tTMRR #EdgeAI #AI #SynapticsAstra #Innovation #OpenSource #IoT #Collaboration

🤖 The Architect is Invisible. The Revolution is Everywhere. AI isn't just a feature anymore—it's the DNA of the future stack. It's the silent engine that turns your smart devices, decentralized finance, and immersive virtual worlds into something truly intelligent. But as AI converges with Web3, IoT, and Extended Reality (XR), the stakes have never been higher. We're facing a profound choice: amplify human potential or automate systemic risks. Are you ready to see the blueprint of this future? Dive into the full article to explore the incredible synergy and the critical ethical risks of AI's convergence with tomorrow's technology. Read the full analysis here: https://lnkd.in/dxyM9sG2 #AI #ArtificialIntelligence #Web3 #IoT #FutureofWork #TechTrends #Innovation #Ethics

AI News: On-Device AI Sees Major Efficiency Leap! 🚀 The future of AI is getting smaller and faster. Today's hottest news is the significant efficiency improvements in **on-device AI processing**. Advancements in model optimization techniques and specialized hardware accelerators are making complex AI tasks – like real-time image recognition and natural language understanding – feasible on everyday devices with minimal power consumption. This breakthrough unlocks privacy-preserving, responsive AI experiences across mobile, IoT, and edge computing applications. What on-device AI application are you most excited to see flourish? #AI #MachineLearning #OnDeviceAI #EdgeComputing #TechNews #Innovation #Efficiency #FutureOfTech

The world needs an orchestration layer for intelligence. Right now, AI systems exist in silos. Models can reason, but they can’t collaborate. Agents think independently, but they can’t work together. We have intelligence, but not communication between intelligence. Khorus exists to build that missing fabric, starting with A2A (agent-to-agent) coordination. A universal protocol where agents can exchange logic, context, and tasks across systems, models, and environments. Global innovators like Google and AWS are validating the shift toward agent-to-agent coordination — where intelligence grows through connection. Through A2A, Khorus enables collective reasoning and verified cooperation, forming the base for modules like A2R (agent-to-robot) that extend this coordination into the physical world. These are the first modules expanding and scaling Khorus into new industries, followed by applications in gaming, IoT, and beyond. Intelligence doesn’t scale through more compute. It scales through collaboration. Built on ERC-8004, Khorus standardizes how agents are registered, verified, and traded in its marketplace, enabling developers to build, deploy, and license autonomous systems that talk to each other, not just to us.