tech:

taffy

Autoregressive models

Autoregressive models are a class of artificial intelligence (AI) and machine learning (ML) models that predict future values based on previous values in a sequence. These models are widely used for time series forecasting, language generation, and other sequential data tasks.

In autoregressive models, the prediction of the current value in a sequence is based on a linear or nonlinear combination of previous values. The core assumption is that there is a correlation between the current value and the values that came before it. By capturing this correlation, autoregressive models can make accurate predictions and generate coherent sequences.

One popular type of autoregressive model is the autoregressive integrated moving average (ARIMA) model. ARIMA combines autoregressive, moving average, and differencing components to model time series data. It has been widely applied in finance, economics, and other domains to forecast future values based on historical patterns.

Another notable example is the autoregressive neural network (AR-NN), which utilizes artificial neural networks to capture the dependencies between previous and current values in a sequence. AR-NN models have demonstrated excellent performance in speech recognition, natural language processing, and image generation tasks.

Autoregressive models can be powerful tools for businesses, enabling them to predict future trends, make informed decisions, and optimize resource allocation. For instance, in demand forecasting, autoregressive models can help organizations anticipate future consumer demand patterns, ensuring optimal inventory management and production planning.

It is important to consider the limitations of autoregressive models. These models assume that the underlying data follows a certain pattern and may struggle with nonlinear relationships or sudden changes in the data distribution. Careful analysis of the data and appropriate model selection are necessary to ensure accurate predictions and avoid erroneous conclusions.


 

Just in

Raspberry Pi is now a public company — TC

Raspberry Pi priced its IPO on the London Stock Exchange on Tuesday morning at £2.80 per share, valuing it at £542 million, or $690 million at today’s exchange rate, writes Romain Dillet. 

AlphaSense raises $650M

AlphaSense, a market intelligence and search platform, has raised $650 million in funding, co-led by Viking Global Investors and BDT & MSD Partners.

Elon Musk’s xAI raises $6B to take on OpenAI — VentureBeat

Confirming reports from April, the series B investment comes from the participation of multiple known venture capital firms and investors, including Valor Equity Partners, Vy Capital, Andreessen Horowitz (A16z), Sequoia Capital, Fidelity Management & Research Company, Prince Alwaleed Bin Talal and Kingdom Holding, writes Shubham Sharma. 

Capgemini partners with DARPA to explore quantum computing for carbon capture

Capgemini Government Solutions has launched a new initiative with the Defense Advanced Research Projects Agency (DARPA) to investigate quantum computing's potential in carbon capture.