Scientific Research Publishing

Eckhardt, K. (2004) How to Construct Recursive Digital Filters for Baseflow Separation. Hydrological Processes, 19, 507-515.

ABSTRACT: The accurate estimation of baseflow and groundwater recharge is key to effective groundwater resources management. Both groundwater recharge and baseflow have been widely used in calibrating ...
Geeky Gadgets

DeepSeek Insider Reveals Self-Improving AI Agents Are Almost Here

Self-improving AI agents are poised to become a pivotal force in the evolution of artificial intelligence. These systems, capable of refining their own algorithms and learning processes, represent a ...
marktechpost

Google AI Introduces STATIC: A Sparse Matrix Framework Delivering 948x Faster Constrained Decoding for LLM Based Generative Retrieval

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
The New York Times

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to automate the creation of artificial intelligence. Anna Goldie and Azalia ...
IEEE

Multiple Model Recursive Gaussian Process for Robust Target Tracking

Abstract: Accurate tracking of targets is vital for safe and reliable operations, particularly in complex and dynamic environments such as urban areas. Traditional tracking methods, including Kalman ...
VentureBeat

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
blockchain

MIT's Recursive Meta-Cognition Boosts ChatGPT Performance by 110%: Advanced Prompt Engineering for AI Reasoning

According to God of Prompt on Twitter, MIT researchers have introduced a new prompt engineering technique called 'Recursive Meta-Cognition' that enables ChatGPT to reason like a team of experts rather ...
Interesting Engineering

New adaptive system lets robots replicate human touch with far less training data

Researchers in Japan have developed an adaptive motion reproduction system that allows robots to generate human-like movements using surprisingly small amounts of training data. Despite rapid advances ...
IEEE

Direct Thruster Force Optimization via Sparse Linearized Gaussian Process Model Predictive Control for ROV Trajectory Tracking

Abstract: Traditional hierarchical remotely operated vehicle (ROV) control suffers from feasibility gaps between motion control and thrust allocation (TA). Modeling uncertainties further complicate ...
EurekAlert!

A physics-constrained AI framework enables accurate thermal field inversion for chiplet-based packaging with sparse data

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...