Is recursive self‑improvement the dawning of AI superintelligence?

The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about ...

I gave Claude Cowork 7 non-coding jobs, and it earned a spot in my toolbox

I am not a naturally trusting person. So when Claude Cowork was launched, the idea of giving an AI access to my Google Docs ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Scientific Research Publishing

An Object-Oriented Algorithm for Flexible Construction Scheduling with Automated Task Splitting ()

The Precedence Diagram Method (PDM) is widely used for modeling large and complex construction projects characterized by non-linear execution logic, overlapping activities, and multiple precedence ...
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 ...
GitHub

Robust Point Set Registration Using Gaussian Mixture Models

A python implementation (unoptimized and mainly for proof of concept) can be found in http://github.com/bing-jian/gmmreg-python. Recently, a group of researchers from ...
IEEE

Robust Diffusion Recursive Algorithm for Distributed Widely-Linear Exponential Functional Link Network

Abstract: Distributed adaptive filtering has emerged as a critical methodology across diverse application domains, including wireless sensor networks, distributed signal processing, and intelligent ...
WeLiveSecurity

TheWizards APT group uses SLAAC spoofing to perform adversary-in-the-middle attacks

In this blogpost, ESET researchers provide an analysis of Spellbinder, a lateral movement tool for performing adversary-in-the-middle attacks, used by the China-aligned threat actor that we have named ...
IEEE

Performance and Analysis of Recursive Constrained Least Lncosh Algorithm Under Impulsive Noises

Abstract: We propose a recursive constrained least lncosh (RCLL) adaptive algorithm to combat the impulsive noises. In general, the lncosh function is used to develop a new algorithm within the ...
GEN

As Pipeline Advances, Recursion Expands AI Focus to Clinical Trials

Najat Khan, PhD, Recursion Pharmaceuticals chief R&D officer and chief commercial officer With at least seven of its programs expected to begin human trials or read out clinical data during 2025, ...