Edge AI

A collection of 417 posts

Neural Scaling Laws

Unlocking AI's Potential: How Unified Neural Scaling Laws Predict Performance at Scale

Explore Unified Neural Scaling Laws (UNSL), a revolutionary framework for predicting deep neural network performance, optimizing AI resource allocation, and ensuring responsible AI development.

LLM quantization

Unleashing LLMs on Edge: How Advanced Quantization Drives Efficiency and Performance

Discover how low-bit activation quantization techniques, like INFOQUANT, make large language models (LLMs) more efficient, preserve accuracy, and enable deployment on less powerful hardware for enterprises.

Adversarial Water-Filling

Adversarial Water-Filling: Powering the Future of 6G and Satellite Spectrum Sharing

Explore Adversarial Water-Filling (AWF), an AI-driven approach for competitive spectrum allocation in LEO satellite networks. Learn how foundation models enhance efficiency, privacy, and real-time resource management for 6G.

Neural Bayesian Sequential Routing

Neural Bayesian Sequential Routing: A Breakthrough in Interpretable and Resource-Efficient AI

Explore Neural Bayesian Sequential Routing (NBSR), an AI framework mimicking human sequential decision-making. Discover its practical applications for optimized resource use, transparency, and uncertainty-aware inference in enterprise solutions.

Optimalisasi Kernel GPU

Xe-Forge: Revolusi Optimalisasi Kernel GPU Intel dengan AI dan LLM

Pelajari Xe-Forge, pipeline multi-tahap berbasis LLM yang mengotomatiskan optimalisasi kernel Triton untuk GPU Intel. Raih peningkatan kinerja signifikan dan percepat deployment AI.

Agen AI

Agen AI Merombak Dunia Teknologi: Memahami Revolusi yang Mengguncang

Pelajari bagaimana agen AI seperti Claude Code dan OpenClaw memicu gelombang transformasi di dunia teknologi, mengubah cara pengembang bekerja, dan dampaknya bagi bisnis global.

AI database optimization

Revolutionizing Database Performance: AI-Powered Cardinality Estimation for LIKE Queries

Discover LEARNT, an AI-driven solution for accurate cardinality estimation of SQL LIKE queries. Enhance database performance, optimize query plans, and reduce operational costs with formal accuracy guarantees.

3D semantic segmentation

Unlocking Smarter 3D Vision: How Geometric AI Biases Enhance Scene Understanding

Explore GIBLy, a lightweight AI layer that dramatically improves 3D semantic segmentation by embedding geometric priors, making AI more accurate and efficient for real-world applications.

AI agent training

Unlocking Scalable AI Agent Training: The Black Box Approach with Polar

Explore Polar, an innovative rollout framework enabling scalable, asynchronous reinforcement learning for AI language agents by treating agent harnesses as black boxes. Discover how this proxy-based architecture simplifies integration, enhances data fidelity, and drives performance in complex, multi

Physics-Informed Neural Networks

Revolutionizing Engineering Design: Fourier Feature Pyramids Enhance Physics-Informed AI for PDEs

Discover how Fourier Feature Pyramids, exemplified by the 'beignet' architecture, are transforming Physics-Informed Neural Networks (PINNs) to achieve unprecedented accuracy and efficiency in solving complex Partial Differential Equations (PDEs), unlocking new possibilities for analog circuit design

Enactive Artificial Intelligence

Enactive Artificial Intelligence: A Paradigm Shift for Adaptive AI Systems

Explore Enactive AI, a revolutionary approach to artificial intelligence that emphasizes active engagement, embodied perception, and real-time interaction, moving beyond passive processing to create truly adaptive systems.

robotaksi

Strategi Nuro: Keunggulan "Penggerak Kedua" di Pasar Robotaksi Otonom

Nuro memanfaatkan pembelajaran dari pemimpin pasar seperti Waymo untuk meraih keunggulan kompetitif dalam pengembangan robotaksi. Pelajari bagaimana strategi "second mover" ini dapat membentuk masa depan transportasi otonom.

Robotaxi strategy

The "Second Mover" Advantage: Nuro's Strategy for Autonomous Robotaxi Deployment

Nuro is leveraging a "second mover" strategy in the robotaxi market, learning from industry pioneers like Waymo to deploy an advanced, reliable autonomous vehicle service with Uber and Lucid.

Keamanan AI

Navigasi Keamanan AI Secara Real-Time: Pelajaran dari Para Ahli dan Kasus Google

Pelajari tantangan keamanan AI di era multi-cloud dan shadow AI, termasuk celah API Google Cloud. Dapatkan strategi pertahanan AI-native untuk perusahaan Anda.

Robotaxi strategy

The Strategic Edge: Why Being a Robotaxi 'Second Mover' Can Lead to Success

Nuro's strategy for robotaxi success involves leveraging a 'second mover' advantage, learning from pioneers like Waymo, and focusing on practical, privacy-centric AI deployment.

Delay Tolerant Networks

Engineering Resilience: How Delay-Tolerant Networks Revolutionize Communication in Extreme Environments

Explore Delay and Disruption Tolerant Networks (DTN) and an open-source framework designed for ISS communication. Understand its "store-and-forward" paradigm, robust security, and real-world applications in challenging network environments, from space to terrestrial operations.

Text-to-Music Generation

Leveling the Playing Field: Advancing Academic Research in AI Text-to-Music Generation

Explore the ICME 2026 Grand Challenge on Academic Text-to-Music (ATTM) Generation, fostering open, reproducible AI research in music through standardized datasets, efficiency tracks, and novel evaluation methods for future generative audio.

Kustomisasi Jaringan Neural

Kustomisasi Jaringan Neural untuk MCU: Inovasi 'Feasibility-First' dengan AutoMCU

Pelajari AutoMCU, sistem multi-agen berbasis LLM yang merevolusi implementasi Jaringan Neural pada Unit Mikrokontroler. Tingkatkan efisiensi dan keandalan AI di perangkat edge.

AI security

Navigating the AI Frontier: Why Governments Debate Pre-Release Security Evaluations

Explore the complex balance between AI innovation and security, as global governments consider executive orders for pre-release model evaluation. Understand the challenges, implications, and future of AI governance.

Smartwatch fall detection

Advancing Smartwatch Fall Detection: How Gated AI Outperforms Traditional Attention Mechanisms

Explore Gated-CNN, a new AI architecture that uses sigmoid gating for efficient and highly accurate watch-based fall detection, enhancing real-time safety for global enterprises and individuals.

AI

From Outdoor Gear to Enterprise Insights: Unpacking Data and AI in Everyday Technology

Explore how diverse technologies, from smart wearables to remote communicators, leverage data and AI to deliver insights. Discover ARSA's enterprise AI & IoT solutions.

AI Optimization

Unlocking Transformer Efficiency: The Routing and Filtering Structure of Attention

Discover how decomposing attention into routing and filtering components reveals inefficiencies in transformer models, leading to new, stable, and highly efficient AI architectures.

AI agents

AI Agents: Google's Push and the Future of Autonomous Enterprise Solutions

Explore the evolution of AI agents, Google's ambitious consumer-focused strategy with Gemini Spark, and how enterprise providers like ARSA Technology leverage similar principles for secure, on-premise business automation.

Agen AI

Jika Google Mampu Membuat Agen AI Berguna, Mungkin Ini Dampak Besar untuk Otomasi Bisnis

Pelajari bagaimana Google mendorong batas agen AI, belajar dari OpenClaw, dan mengintegrasikan kecerdasan buatan ke dalam kehidupan sehari-hari dan operasional bisnis.

Gemini 3.5 Flash

Gemini 3.5 Flash: Google Memperkenalkan Era Baru Agen AI Otonom, Bukan Sekadar Chatbot

Google Gemini 3.5 Flash hadir sebagai model AI tercepat dan terkuat untuk agen AI dan coding, menandai pergeseran dari chatbot ke sistem otonom yang dapat merencanakan, membangun, dan beriterasi.