AI That Thinks in Vectors, cut costs by up to 40% and reply faster

Learn how CALM uses continuous vectors to bypass the token bottleneck and cut AI compute by up to 40%. Continuous ...

CALM explained: Continuous thinking AI, how it’s different from GenAI LLMs so far

In 2017, a group of Google researchers published a paper titled “Attention Is All You Need.” That simple phrase didn’t just ...
Nature

Spatial Econometrics and Autoregressive Models

Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...
JSTOR Daily

Oracally efficient estimation and consistent model selection for auto-regressive moving average time series with trend

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, No. 2 (MARCH 2017), pp. 507-524 (18 pages) Most time series that are encountered in practice contain non-zero ...
Insurancenewsnet.com

Kwansei Gakuin University Researcher Provides New Study Findings on Risk Management (A Hybrid Model for Forecasting Realized Volatility Based on Heterogeneous Autoregressive ...

2024 FEB 06 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Investigators publish new report on risk management. According to news originating from Hyogo, Japan, by NewsRx ...

CALM: The model that thinks in ideas, not tokens

GPT, Gemini, Claude, or Llama – has been built on the same underlying principle: predict the next token. That simple loop of ...
JSTOR Daily

Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data

This is a preview. Log in through your library . Abstract This paper proposes a new statistical model for the analysis of data which arrive at irregular intervals. The model treats the time between ...