Machine Learning | Perceptronai

Latest Research and Findings

NAS + Reinforcement learning: A review

Neural architecture search (NAS) is a method for automatically discovering the best neural network architecture for a given task.

Cost-efficient method to predict 3D hemodynamics

The deep learning methods are inexpensive compare to modeling a cardiovascular hemodynamic system.

Leveraging Reasoning-Modulated Representations for MRI and CT scan: A case study

Feb 22

Theory

Leveraging Reasoning-Modulated Representations for MRI and CT scan: A case study

Reasoning-modulated representations aim to create AI systems that are not just data-driven, but also capable of understanding and reasoning.

Feb 1

Review

NAS + Reinforcement learning: A review

Neural architecture search (NAS) is a method for automatically discovering the best neural network architecture for a given task.

Case Studies

Feb 22

Leveraging Reasoning-Modulated Representations for MRI and CT scan: A case study

Reasoning-modulated representations aim to create AI systems that are not just data-driven, but also capable of understanding and reasoning.

Feb 11, 2021

Artificial intelligence for designing new materials

Understanding the material helps us to understand the working of the universe.

Feb 22
8 min

Leveraging Reasoning-Modulated Representations for MRI and CT scan: A case study

Reasoning-modulated representations aim to create AI systems that are not just data-driven, but also capable of understanding and reasoning.

Feb 1
13 min

NAS + Reinforcement learning: A review

Neural architecture search (NAS) is a method for automatically discovering the best neural network architecture for a given task.

Jan 31
12 min

Perplexity in AI and Humans

Perplexity is a useful metric to evaluate models in Natural Language Processing (NLP).

Jun 2, 2021
6 min

Attention Probabilistic U-net

A new hybrid method to find anomalies in CT scans (on-going experiment) Image classification is not new to us and the same stands true...

Feb 11, 2021
5 min

Artificial intelligence for designing new materials

Understanding the material helps us to understand the working of the universe.

Jan 29, 2021
4 min

Cost-efficient method to predict 3D hemodynamics

The deep learning methods are inexpensive compare to modeling a cardiovascular hemodynamic system.

Jan 22, 2021
7 min

OpenAI's GPT-3 Language Model

GPT-3 is now trending as one of the most powerful language models in the world.

Jan 17, 2021
4 min

AlphaFold

On 8 November 2020, Deepmind of Google an AI created that could plausibly understand the biological machines — Proteins.

Explainable AI and Ethics

Feb 1
13 min

NAS + Reinforcement learning: A review

Neural architecture search (NAS) is a method for automatically discovering the best neural network architecture for a given task.

Jan 29, 2021
4 min

Cost-efficient method to predict 3D hemodynamics

The deep learning methods are inexpensive compare to modeling a cardiovascular hemodynamic system.

Jan 22, 2021
7 min

OpenAI's GPT-3 Language Model

GPT-3 is now trending as one of the most powerful language models in the world.

Jan 15, 2021
6 min

Generative Methods in Medical Applications

Generative adversarial networks (GANs) have achieved state-of-the-art results in recent years and it is able to produce realistic images .

Latest Research and Findings

Case Studies

Latest Posts

Explainable AI and Ethics

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