A controversial new movement promoting the "science of math" has come into the math establishment's crosshairs.

Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Dr Reyaz Ahmad                  Math fluency is no longer just about speed in mental calculations or rote memorisation of ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world’s decision-making is ...

Objective: This study aimed to assess the impact of a model shift on ML-based prediction models by evaluating 3 different use cases—delirium, sepsis, and acute kidney injury (AKI)—from 2 hospitals (M ...

A new study digs into why modern AI models stumble over multi-digit multiplication and what kind of training finally makes the task click.

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in ...

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

Microsoft Corp. today showcased its vision of an agentic artificial intelligence future for everyday consumers with the launch of its newest model Fara-7B, which can run locally on personal computers ...

In 2024, Microsoft introduced small language models (SLMs) to customers, starting with the release of Phi (opens in new tab) models on Microsoft Foundry (opens in new tab), as well as deploying Phi ...