GitHub14d
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach (CNN-TA)
In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties. In order to convert financial time series into 2-D ...
VentureBeat16d
Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Learn More A new neural-network architecture developed by researchers ... Titans combines traditional LLM attention blocks with “neural memory” layers that enable models to handle both short ...
blockonomi18d
Sony Debuts Soneium Layer-2 Network with NFT and Trading Platforms
The Layer-2 blockchain platform went live this week, introducing two key projects aimed at fan engagement and cryptocurrency trading. The Soneium network builds on Sony’s earlier test version, known ...
IEEE24d
Aerodynamic Moment Prediction via a Convolutional Neural Network With a Physics Informed Convolutional Layer
Abstract: In recent years, steady progress has been made in the development of embedding surface flow sensors on small unmanned ... physics laws in the kernel function of the neural network's ...
cryptonews28d
Coinbase Explores Tokenized Shares for U.S. Users on Ethereum Layer-2 Network Base
Coinbase is exploring the possibility of offering tokenized shares of its stock, COIN, to U.S. users via Base, its Ethereum layer-2 network. Jesse Pollak, a Base developer, shared the news on January ...
IEEE29d
FTCD: Fault-Tolerant Co-Design of Flow and Control Layers for Fully Programmable Valve Array Biochips
In this paper, we focus on the fault-tolerant co-design of flow and control layers in FPVA biochips for the first time. For the flow layer, three dynamic fault-tolerant techniques, i.e., a cell ...