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MIT Develops Dynamo, a Machine Learning Framework to study Cell Trajectory

Whether it is a projectile or football, we find it easy to calculate their range, velocity, trajectory using fundamental physics formulas. However, when it...

Python Libraries for Machine Learning

A study suggests that the Machine Learning market size is expected to grow from $8.81 Billion by 2022, at a CAGR of 44.1%. Machine...

Intel and MeitY holds session on Deep Learning

Global semiconductor manufacturing giant Intel, the Ministry of Electronics and Information Technology (MeitY), National e-Governance Division (NeGD), the Government of India, and the United...

OpenAI Introduces three new embedding model families in OpenAI API

OpenAI API recently announced three new families of embedding models - text similarity, text search, and code search, each geared to excel at various...

Datatron to offer Accelerated AI Model Deployment and AI Governance Program

Enterprise-grade cloud-native AI platform provider Datatron announces that it plans to offer accelerated artificial intelligence model deployment and AI governance program. This new offering...

How well can Vertical Federated Learning solve machine learning’s data privacy Issues?

Data privacy has become a serious topic of discussion at AI Conferences, board meetings of tech companies, and government events. While it seems like...

Overinterpretation: MIT finds new bottleneck in Machine learning based Image Classification

Image classification using machine learning rose to prominence in a recent couple of years. While processing images to understand the visual data is nothing...

Fujitsu and MIT Center for Brains, Minds, and Machines Build AI model to Detect OOD data

Generally, deep neural networks (DNNs) are trained using the closed-world assumption, which assumes that the test and training data distributions are similar. But when...

MIT develops deep learning model GeoMol that predicts the 3D shapes of drug-like molecules

A team of MIT researchers has developed a deep learning model that predicts the 3D shapes of a molecule using the 2D graph of...

Amazon introduces Trn1 chips to speed up the training process of ML models

On November 30, 2021, Amazon introduced three new amazon EC2 instances powered by AWS-designed Chips. The newly launched chips help developers/customers improve the performance...
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