Moving past speculation: How deterministic CPUs deliver predictable AI performance

As David Patterson observed in 1980, “A RISC potentially gains in speed merely from a simpler design.” Patterson’s principle of simplicity underpins a new alternative to speculation: A deterministic, ...
Decrypt

Fortytwo Unveils Swarm Inference: an AI Architecture Surpassing Leading Models on Key Benchmarks

"These results represent more than just outperforming frontier models; they mark the emergence of a new approach to building AI,” said Ivan Nikitin, co-founder and CEO of Fortytwo. “This breakthrough ...

After testing ten models, this is the massage gun I reach for after every workout

We spent months testing 10 popular massage guns, comparing their performance in terms of power, noise, battery life and usability. Three stood out as the best.

Cursor introduces its coding model alongside multi-agent interface

To address that, Cursor introduced Composer alongside its new multi-agent interface, which allows you to “run many agents in ...

Fortytwo Introduces ‘Swarm Inference’: A New AI Architecture That Outperforms Frontier Models on Key Benchmarks

"These results represent more than just outperforming frontier models; they mark the emergence of a new approach to building ...

Meta researchers open the LLM black box to repair flawed AI reasoning

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

White House fires commission charged with advising the president on design as Trump pushes construction projects

The White House has fired all six members of the Commission of Fine Arts, an independent federal agency charged with advising ...
Tech Xplore

DeepMind introduces AI agent that learns to complete various tasks in a scalable world model

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...
IEEE

The Fatigue Driving Detection Model Based on the Combination of CNN and SE Modules

Abstract: Fatigue driving is one of the leading causes of traffic accidents, posing a serious threat to road safety. Traditional Convolutional Neural Networks (CNN) models have been widely used for ...
IEEE

DermNet-CNN: A Hyperparameter-Tuned CNN Model for Accurate Skin Disease Detection

Abstract: The diagnosis of skin disease is a critical area in healthcare, requiring high accuracy and reliability to ensure effective treatment. Traditional diagnostic methods often struggle with the ...

Why Trump’s sudden East Wing demolition is extraordinary — and dicey

When President Donald Trump reflected last week on the looming construction of his White House ballroom, the longtime real estate developer was practically giddy about the lack of red tape. He noted ...
IEEE

A Hybrid Model using CNN and Genetic Algorithm for Pattern Classification of Interstitial Lung Disease

Abstract: Our objective is to develop an advanced computational approach to classify patterns of Interstitial Lung Disease(ILD) using a Hybrid model of Convolutional Neural Network(CNN) and Genetic ...