Computation
Artificial Intelligence
The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction &Â AIXI
In a seminal but underappreciated book titled , Marcus Hutter attempted a mathematical formulation of universal artificial intelligence, shortened to AIXI. This text goals to make AIXI accessible to data scientists, technical enthusiasts and...
Artificial Intelligence
Sub-Quadratic Systems: Accelerating AI Efficiency and Sustainability
Artificial Intelligence (AI) is changing our world incredibly, influencing industries like healthcare, finance, and retail. From recommending products online to diagnosing medical conditions, AI is in all places. Nonetheless, there's a growing problem of...
Artificial Intelligence
MIT launches latest Music Technology and Computation Graduate Program
A brand new, multidisciplinary MITÂ graduate program in music technology and computation will...
Artificial Intelligence
Latest security protocol shields data from attackers during cloud-based computation
Deep-learning models are getting used in lots of fields, from health care...
Artificial Intelligence
Living Cellular Computers: A Latest Frontier in AI and Computation Beyond Silicon
Biological systems have fascinated computer scientists for a long time with their remarkable ability to process complex information, adapt, learn, and make sophisticated decisions in real time. These natural systems have inspired the event...
Artificial Intelligence
Chronon — A Declarative Feature Engineering Framework Background Introducing Chronon API Overview Understanding accuracy Understanding data sources Event data sources Entity data sources Cumulative Event Sources Understanding computation contexts Understanding computation types Understanding Aggregations Putting All...
Nikhil Simha RaproluAirbnb uses machine learning in almost every product, from rating search results to intelligently pricing listings and routing users to the precise customer support agents.We noticed that feature management was a consistent...
Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...
For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...
Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on...
For an in-depth explanation of post-training quantization and a comparison of ONNX Runtime and OpenVINO, I like to recommend this text:This section will specifically have a look at two popular techniques of post-training quantization:ONNX...
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