hyperdimensional computing
PulseAugur coverage of hyperdimensional computing — every cluster mentioning hyperdimensional computing across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
-
New framework ApproxHDC optimizes Hyperdimensional Computing with compiler-driven approximations
Researchers have developed ApproxHDC, a novel framework that leverages compiler-driven approximation tuning to enhance the efficiency of Hyperdimensional Computing (HDC) workloads. This approach is designed to address t…
-
New Quantum-Enhanced Hyperdimensional Computing Framework Introduced
Researchers have introduced QeHDC, a novel framework for Quantum-enhanced Hyperdimensional Computing. This approach utilizes sinusoidal and quantum encoding to project data into quantum states and employs a reference-st…
-
Hillock AI debuts local memory system with SQLite and HDC
Hillock has developed a local AI memory system that utilizes SQLite and hyperdimensional computing. This system is designed to store and retrieve information without relying on cloud services, employing brain-inspired p…
-
New Theory: "Impedance Mismatch" Hinders AI Fusion
A new theoretical paper introduces the concept of "Impedance Mismatch" to describe the fundamental division between foundation models and knowledge graphs. The authors argue that current methods like Retrieval-Augmented…
-
New HDC Framework Enhances Anomaly Detection for Edge AI
Researchers have introduced D2H-AD, a novel anomaly detection framework that leverages Hyperdimensional Computing (HDC). This brain-inspired approach uses high-dimensional vectors to represent information, integrating d…
-
Hyperdimensional Computing Enhances Structured Querying on Tabular Data
Researchers have explored the application of Hyperdimensional Computing (HDC), specifically the Holographic Reduced Representations (HRR) model, for structured querying on tabular data embeddings. This approach aims to …
-
New memory architecture boosts AI symbolic reasoning efficiency
Researchers have introduced Orthogonal Subspace Carving (OSC), a novel memory architecture designed to enhance symbolic reasoning in AI models. OSC addresses the dimensionality issues of Tensor Product Representations b…
-
Hyperdimensional computing enables efficient AMS detection
Researchers have developed AMS-HD, a novel framework utilizing hyperdimensional computing (HDC) for real-time detection of acute mountain sickness (AMS) from wearable physiological signals. This approach significantly r…
-
New HDC Framework GHRR Enhances Compositional Structure Encoding
Researchers have introduced Generalized Holographic Reduced Representations (GHRR), an advancement in Hyperdimensional Computing (HDC) designed to better encode complex compositional structures. GHRR extends existing HD…
-
Sutra language compiles programs into PyTorch neural networks
Researchers have developed Sutra, a functional programming language that compiles into PyTorch neural networks. This system targets vector symbolic architectures by reducing programs to fused tensor-operation graphs. Su…
-
Dalhousie professor links AI, cognitive brain in seminar
Dr. Thomas Trappenberg of Dalhousie University presented a seminar on "AI and the Cognitive Brain: Have We Uncovered the Ingredients for Intelligence?" The talk explored theoretical underpinnings of AI, including the Mo…
-
ImageHD accelerator boosts on-device continual learning with Hyperdimensional Computing
Researchers have developed ImageHD, a novel FPGA accelerator designed for energy-efficient on-device continual learning of visual representations using Hyperdimensional Computing (HDC). This system addresses the limitat…