Page 3 - Transfer Learning News Today

Who Is publishing the most Impactful AI research right now? With the breakneck pace of innovation in AI, it is crucial to pick up some signal as soon as possible. No one has the time to read everything, but these 100 papers are sure to bend the road as to where our AI technology is going. The real test of impact of R&D teams is of course how the technology appears in products, and OpenAI shook the world by releasing ChatGPT at the end of November 2022, following fast on their March 2022 pape...

Deep Neural Networks (DNNs) have achieved great performance in computer vision tasks. However, the performance of the DNNs would drop if the test dataset follows a distribution different from the training dataset. This issue is called domain shift. Another issue is that the DNNs need to be trained with a large amount of labeled data to avoid overfitting because of the large number of parameters. Collecting and labeling such a large volume of data is expensive and sometimes not possible. Transfer...

Hate speech detection for social media posts is considered as a binary classification problem in existing approaches, largely neglecting distinct attributes of hate speeches from other sentimental types such as “aggressive” and “racist”. As these sentimental types constitute a significant major portion of data, the classification performance is compromised. Moreover, those classifiers often do not generalize well across different datasets due to a relatively small number of hate-class sa...

Voice AI capabilities to our existing projects and controlled a custom-built home automation system just using voice commands.

Announces the winners of the first edition of SHIFT |The healthcare hackathon

Utilize TinyML for some useful projects. Aims to add voice control to existing Smart Home Systems with an ESP32 device and TinyM

AutoML sounds like magic. But how effective is it? And when to better use a simpler approach?

IIT Palakkad is offering a free 12-week online course on artificial intelligence (AI) for students on the NPTEL platform.

Researchers outline how utilizing AI can help meet climate goals

Image Credit: Vadim Sadovski/Shutterstock.com Laser-induced breakdown spectroscopy (LIBS) instruments built into the latest generation of Martian rovers will provide planetary scientists with a wealth of new data on Martian geology – but to learn from it, they will need to overcome a critical challenge with their machine learning models. Because scientists do not have real Martian rock samples to work with in the lab, there is no training data to calibrate the machine learning models usually...