Tech Xplore

An AI model that thinks like we do offers new ways to peer inside the black box

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
Communications of the ACMOpinion

Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review

Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
GitHub

test_pipelines_summarization.py

# you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 model ...
IEEE

Domain-Aware Text Summarization Using Textrank and Transformer-Based Abstractive Models

Abstract: With the exponential growth of digital content, professionals in specialized fields such as medicine, law, and engineering face challenges in analyzing lengthy, informationrich documents.
Forbes

Transformer Architecture, Superpowers, And The March Toward AGI

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. digital transformation. AI data. innovations and technology. When you scratch the surface of ...
Fast Company

The AI industry’s massive bet on transformer models may not be enough for true AGI

Are the biggest AI labs betting on the wrong horse? Big AI companies are betting nearly all of their R&D and capital expenditure on the idea that pre-trained transformer models can deliver AI with ...
IEEE

A Hybrid Model for Text Summarization Using Extractive and Abstractive Approaches

Abstract: Auto Text summarization (ATS) is the process of identifying the main information from the source text without going through the entire text. The main goal of ATS is to optimizing labor, time ...
ascopubs.org

Toward Automating the Summarization of Cancer Pathology Reports Using Large Language Models to Improve Clinical Usability

Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation Patients who underwent initial consultation in a thoracic clinic between January 2019 and July 2023 ...
Consumer Reports

AI Data Centers: Big Tech's Impact on Electric Bills, Water, and More

John Steinbach was shocked to receive a $281 electricity bill in January 2026—a huge spike from the roughly $100 he’d paid the previous month. “It’s just so far beyond any bill that I’ve ever had,” he ...
VentureBeat

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...