Difference between revisions of "Hyperdimensional Computing (HDC)"
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| − | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
| − | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | + | |
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[https://www.youtube.com/results?search_query=ai+Hyperdimensional+Computing YouTube] | [https://www.youtube.com/results?search_query=ai+Hyperdimensional+Computing YouTube] | ||
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[https://www.bing.com/news/search?q=ai+Hyperdimensional+Computing&qft=interval%3d%228%22 ...Bing News] | [https://www.bing.com/news/search?q=ai+Hyperdimensional+Computing&qft=interval%3d%228%22 ...Bing News] | ||
| − | * [[3D Model]] ... [[ | + | * [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]] |
| − | * [[ | + | * [[Simulation]] ... [[Simulated Environment Learning]] ... [[World Models]] ... [[Minecraft]]: [[Minecraft#Voyager|Voyager]] |
| − | + | * [[Embedding]] ... [[Fine-tuning]] ... [[Retrieval-Augmented Generation (RAG)|RAG]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]]. [[...find outliers]] | |
| − | + | * [[Time]] ... [[Time#Positioning, Navigation and Timing (PNT)|PNT]] ... [[Time#Global Positioning System (GPS)|GPS]] ... [[Causation vs. Correlation#Retrocausality| Retrocausality]] ... [[Quantum#Delayed Choice Quantum Eraser|Delayed Choice Quantum Eraser]] ... [[Quantum]] | |
| − | + | * [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]] | |
| − | * [[ | + | * [https://thenextweb.com/news/hyperdimensional-computing-theory-could-lead-to-ai-with-memories-and-reflexes Hyperdimensional computing theory could lead to AI with memories and reflexes | Tristan Greene - The Next Web (TNW)] |
| − | * [ | ||
* [https://www.quantamagazine.org/a-new-approach-to-computation-reimagines-artificial-intelligence-20230413/ A New Approach to Computation Reimagines Artificial Intelligence | Anil Ananthaswamy - Quanta Magazine] ... By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before. | * [https://www.quantamagazine.org/a-new-approach-to-computation-reimagines-artificial-intelligence-20230413/ A New Approach to Computation Reimagines Artificial Intelligence | Anil Ananthaswamy - Quanta Magazine] ... By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before. | ||
Latest revision as of 07:59, 16 June 2024
YouTube ... Quora ...Google search ...Google News ...Bing News
- Robotics ... Vehicles ... Drones ... 3D Model ... Point Cloud
- Simulation ... Simulated Environment Learning ... World Models ... Minecraft: Voyager
- Embedding ... Fine-tuning ... RAG ... Search ... Clustering ... Recommendation ... Anomaly Detection ... Classification ... Dimensional Reduction. ...find outliers
- Time ... PNT ... GPS ... Retrocausality ... Delayed Choice Quantum Eraser ... Quantum
- Math for Intelligence ... Finding Paul Revere ... Social Network Analysis (SNA) ... Dot Product ... Kernel Trick
- Hyperdimensional computing theory could lead to AI with memories and reflexes | Tristan Greene - The Next Web (TNW)
- A New Approach to Computation Reimagines Artificial Intelligence | Anil Ananthaswamy - Quanta Magazine ... By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.
