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.

Abstract: This paper presents a model predictive control (MPC) with recursive feasibility guarantees for robots with LiDAR sensory measurements. Control barrier functions (CBF) are incorporated within ...

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 ...

Abstract: Adversarial attacks, specialized attacks, pose a severe threat to AI model performance in various applications, including the Internet of Things (IoT). Various defense mechanisms have been ...

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 ...