March, 2025

March, 2025

Bitcoin ETFs see single $218M inflow to BlackRock’s IBIT
On Mar. 18, spot Bitcoin ETFs saw $209 million in inflows, marking a third consecutive trading day of positive flows. The entirety of the inflows came from BlackRock’s IBIT, which saw $218.1 milli...

Coinbase’s new KYC verified pools aim to fortify DeFi with secure trading
Coinbase has launched Verified Pools, a Know-Your-Customer (KYC)-verified liquidity pool designed to enhance DeFi adoption while reducing counterparty risks. This new initiative provides institutional...

Nvidia reveals DGX Spark: The world’s smallest AI supercomputer
Nvidia unveiled its DGX Spark and DGX Station personal AI supercomputers at the GTC conference, designed for handling la...

Nvidia can boost DeepSeek R1’s speed 30x, says Jensen Huang
Nvidia aims to enhance the performance of DeepSeek’s artificial intelligence program R1, striving for 30 times faster ...

Retrieval-augmented language model (REALM)
Retrieval-augmented language model (REALM) represents a significant advancement in artificial intelligence, particularly within the field of natural language processing (NLP). By effectively integrati...

Embodied AI
Embodied AI is at the forefront of technological innovation, combining advanced artificial intelligence with physical interaction capabilities. By effectively utilizing sensors, actuators, and machine...

Canonical schema
Canonical schema is a pivotal concept in the world of data management, enabling systems to communicate effectively despite their internal complexities. As organizations increasingly rely on diverse da...

Deep belief networks
Deep belief networks (DBNs) represent a fascinating convergence of neural network architectures that significantly enhance the ability of machines to learn from data. Developed by Geoffrey Hinton and ...

Machine learning pipeline
A machine learning pipeline serves as a vital tool that streamlines the development and deployment of machine learning models. This structured framework ensures that all necessary steps—from data pr...

Ridge regression
Ridge regression is a sophisticated approach in statistical modeling that rises to relevance especially when faced with multicollinearity issues. As datasets with numerous predictors can complicate li...

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B&T Television

March