Self-configuring optical devices automatically learn how to sort out light

Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
IPWatchdogOpinion

The Question of AI and Copyright Infringement is Actually an Easy One

Much of the focus on generative artificial intelligence (GenAI) has been on training data ingestion—the moment when AI ...
IEEE

Data-Driven Input-Output Control Barrier Functions

Abstract: Control Barrier Functions (CBFs) offer a framework for ensuring set invariance and designing constrained control laws. However, crafting a valid CBF relies on system-specific assumptions and ...
Psychology Today

Educators Need to Know How AI Can Help Kids With Dyslexia

A recent article in EdWeek was headlined, "What Educators Need to Know About Dyslexia—and Why It's Not Something to 'Fix.'" As an inventor of autonomous AI, I explain below why technological advances ...
eLife

A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...
EDN

Single-supply single-ended input to pseudo class A/B differential output amp

From the micromixer topology by Barrie Gilbert [1], this amplifier allows a single-ended input to be converted to a Class A/B current output from a single supply. Wow the engineering world with your ...
PNAS

Cellular-resolution optogenetics reveals attenuation-by-suppression in visual cortical neurons

How neurons transform inputs into outputs is a fundamental building block of brain computation. Here, we measure neurons’ IO functions in the awake and intact brain, where ongoing network activity ...
eLife

Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs

The study by Chardon et al. is fundamental to advancing our understanding of presynaptic control of motor neuron output. Large-scale computer simulations were performed using well-established single ...
leewayhertz

Structured outputs in LLMs: Definition, techniques, applications, benefits

Large Language Models (LLMs) have transformed our engagement with artificial intelligence, enabling more natural and intuitive communication by generating human-like text and grasping complex ...
Hot Rod

A Big, Easy-to-Read UC-10 Digital Display From Haltech

The digital engine management world has come a long way since we featured a collection of aftermarket EFI systems in HOT ROD magazine’s February 1989 issue. In that story, former editor and current ...
IEEE

Higher Order Sinusoidal-Input Describing Function Analysis for a Class of Multiple-Input Multiple-Output Convergent Systems

Abstract: This article introduces output prediction methods for two types of systems containing sinusoidal-input uniformly convergent (SIUC) elements. The first method considers these elements in ...