Time Series Classification with Neural Network using Random Sub Sequence Statistics as Features Deep Learning models generally extract features in the early layers of the network. It does away with the need for manual feature [...]
Unreasonable Claim of Reasoning Ability of LLM Reasoning is critical for problem solving, decision making and in general for human intelligence. There have been various claims of reasoning abilities of LLM. Typically these claims [...]
Navigating the Labyrinth of Deepfakes and Clearfakes: Risks, Challenges, and Solutions The rapid advancement of artificial intelligence (AI) has brought about a plethora of transformative technologies, revolutionizing industries and reshaping our daily lives. [...]
Transforming Real Estate: ThirdEye Data's Vision for AI Integration In a recent meeting between industry leaders Diane and Dj Das of ThirdEye Data, the potential of artificial intelligence (AI) in revolutionizing the real [...]
Significance and Applications of Edge AI “Edge AI : Designing Today & Future” In the era of rapidly growing & changing AI technology day by day, we need a solution to cater the [...]
Time Series Data Exploration with Wavelet Transform Time series data provides time domain information and Fast Fourier Transform provides frequency domain information only. What if you wanted both, for example you may be interested [...]
The Multi-Faceted Journey of Determining ML Model Success Criteria In the world of Machine Learning (ML), defining the success criteria for your models is a crucial but often complex task. Many people tend [...]
Customization of LLM ChatBots with Retrieval Augmented Generation For many domain specific business application the pre trained LLM is not enough. Customization is necessary. Out of the box pre trained black box models, even [...]
In today's data-driven world, extracting information swiftly and accurately is a cornerstone of business success. This comparative study illuminates why Artificial Intelligence (AI) stands as the superior choice for data extraction when pitted against [...]
Time Series Sequence Anomaly Detection with Markov Chain There are many algorithms for anomaly detection in time series including Deep Learning based solutions. The anomalies are of 2 types, point and sequence. Sequence anomaly [...]
