This will contain notes from Research Papers I have read, Podcasts I have listen and Books that were suggested to read.
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- TH: Universality
- HW: Robo Racecar Nvidea
- ML: Noise-Boosted Bidirectional Backpropagation and Adversarial Learning
- HW: Spaceborne low-noise single-photon detection for satellite-based quantum communications
- TH: Experimental validation of Landauer Principle
- TH: Exponential distribution
- TH: Information erasure without an energy cost
- TH: Information Theory
- RF: Near-Zero
- ML: Nvidea-Conversational AI BERT and Megatron
- ML: IITH-Survey of Deep Learning Models on GPUs
- OT: Waymo Open Dataset
- HW: Neuromorphic Silicon Neuron Cicuits
- OT: Animating Fluids - Material Point Methods- Github_old
- OT: A Mathematical Model Unlocks the Secrets of Vision
- HW: Chaos, Non Linear Circuits and Infinite Functions
- OT: MegatronLM: Training Billion+ Parameter Language Models Using GPU Model Parallelism
- EH: Transcutaneous ultrasound energy harvesting using capacitive triboelectric technology
- ML: NEAT genetic/evolutionary Algorithm and MarIO
- US: Thermal memory based PAT
- ML: Robots with Sensitve Skin
- OT: Temperature Sensor Survey
- OT: ADC Survey 1997-2019
- RF: Nowi MPPT and optimal EH and comm design on IoT
- ML: Biological Learning outperform existing Artificial Intelligence Algorithms
- TH: The Mathematics of Keeping a Musical Beat
- US: Neural Dust
- TH: A Quantum Engineer’s Guide to Superconducting Qubits
- ML: Towards Artificial General Intelligence with Hybrid Tianjic chip Architecture
Thank you Daniel Seita, your way of posting articles on ML papers really inspired me start this blog on github.