eLife

Reassessing prediction in the brain: Pre-onset neural encoding during natural listening does not reflect pre-activation

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...
Newsworthy.ai

An AI Escaped Its Sandbox, Emailed a Researcher, Then Self-Published Its Own Exploit Online!

VectorCertain LLC today announced new validation results demonstrating that its SecureAgent platform successfully detected ...

Talkie Is a ‘Vintage LLM’ Trained on Pre-1930 Data to Help Facilitate ‘Time Travel’

The idea is that you restrict the training data provided to the model to material published before a given date. In the case ...
Devdiscourse

AI hallucinations, bias and data leaks: Expanding LLM risk landscape

However, a new study warns that the same capabilities driving their adoption are also creating a broad and evolving landscape of security, privacy, and ethical risks that existing safeguards are ...
Indiatimes

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Muskaan Mukherjee is a student. Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as ...

Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
Semiconductor Engineering

Silent Data Corruption: A Major Reliability Challenge in Large-Scale LLM Training (TU Berlin)

A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by ...
Targeted Oncology

AI Models May Serve as Scalable Adjunct to Oncology Documentation Workflows

Large language models (LLMs) may serve as a valuable supplement to oncology documentation workflows by detecting and ...
AOL

Demystifying structured data: How to speak an LLM’s native language

Large language models (LLMs) have fundamentally changed what it means to be found online. These systems do not read content the way a person does, nor do they rank pages the way traditional search ...

AI & Tech Brief: The post-LLM era begins

A sit-down with Professor Eric Xing, the president of the UAE’s Mohamed bin Zayed University of Artificial Intelligence.
Global Times

Chinese AI models take top six spots in global usage rankings: data

Chinese large-language models dominated global usage rankings during the week from March 30 to April 5, with all of the top six models by token consumption coming from China, according to OpenRouter, ...
Semiconductor Engineering

Microarchitecture Tailored to 3D-Stacked Near-Memory Processing LLM Decoding (U. of Edinburg, Peking U., Cambridge et al.)

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling ...