Abstract: This work proposed two machine learning models, LSTM and Autoregressive models, for predicting electricity consumption in Uttarakhand for the 16 months in terms of forecast validation.

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

On Wednesday, Anthropic released Claude Haiku 4.5, the newest version of its smallest model, billed as offering similar performance to Sonnet 4 “at one-third the cost and more than twice the speed,” ...

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...

The preview of our dataset is as follows. For composited degradation scenario, run the following command: python evluation.py --dataset_name HM-TIR --dataset_dir datasets --deg_scenario composited ...

In this tutorial, we explore how to secure AI agents in practical, hands-on ways using Python. We focus on building an intelligent yet responsible agent that adheres to safety rules when interacting ...

Two months ago, Tesla announced its longest EV range model, offering up to 830 km CLTC of range and priced at the equivalent of $A57,700 in China. That was the new ...

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. 19 Table 1 summarizes the eligibility criteria. Study design Quantitative (interventional or ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Orchestration Host routes across many servers/tools App-local chaining Agent/toolkit routes intents → operations ...