“지난해 리튬이온 배터리 가격 20% 하락” IEA 조사

전기차용 배터리 공급 과잉과 중국발 경쟁 심화로 지난해 리튬이온 배터리 가격이 역대 최대 하락폭을 기록한 것으로 나타났다. 국제에너지기구(IEA)가 최근 발간한 '글로벌 EV 전망 2025' 보고서에 따르면 지난해 리튬이온 배터리 팩 가격은 전년 대비 20% 떨어져 2

전자신문 > 소재·부품 “지난해 리튬이온 배터리 가격 20% 하락” IEA 조사

Human Brain Cells on a Chip for Sale

In a development straight out of science fiction, Australian startup Cortical Labs has released what it calls the world’s first code-deployable biological computer. The CL1, which debuted in March, fuses human brain cells on a silicon chip to process information via sub-millisecond electrical feedback loops.Designed as a tool for neuroscience and biotech research, the CL1 offers a new way to study how brain cells process and react to stimuli. Unlike conventional silicon-based systems, the hybrid platform uses live human neurons capable of adapting, learning, and responding to external inputs in real time.“On one view, [the CL1] could be regarded as the first commercially available biomim..

IEEE Spectrum : Computing Human Brain Cells on a Chip for Sale

광주 가전산업 살린다…'가전산업 내일프로젝트' '기업-청년 이음프로젝트' 본격 추진

광주시는 주력산업인 가전기업 경쟁력을 강화해 고용 창출 및 자생력 제고에 나선다고 3일 밝혔다. 시와 광주지방고용노동청 주관으로 광주상공회의소·광주테크노파크·광주디자인진흥원·광주경제진흥상생일자리재단·광주경영자총협회 등 6개 기관은 지역혁신프로젝트인 '가전산업 내일프로젝

전자신문 > 소재·부품 광주 가전산업 살린다…'가전산업 내일프로젝트' '기업-청년 이음프로젝트' 본격 추진

A novel, multimodal approach to automated speaking skill assessment

The ability to communicate effectively in spoken English is a key determinant of both academic and professional success. Traditionally, the degree of mastery over English grammar, vocabulary, pronunciation, and communication skills has been assessed through tedious and expensive human-administered tests.

phys.org : computer-sciences

Self-powered artificial synapse mimics human color vision

As artificial intelligence and smart devices continue to evolve, machine vision is taking an increasingly pivotal role as a key enabler of modern technologies. Unfortunately, despite much progress, machine vision systems still face a major problem: Processing the enormous amounts of visual data generated every second requires substantial power, storage, and computational resources. This limitation makes it difficult to deploy visual recognition capabilities in edge devices, such as smartphones, drones, or autonomous vehicles.

phys.org : computer-sciences

Startup’s Analog AI Promises Power for PCs

Naveen Verma’s lab at Princeton University is like a museum of all the ways engineers have tried to make AI ultra-efficient by using analog phenomena instead of digital computing. At one bench lies the most energy-efficient magnetic-memory-based neural-network computer ever made. At another you’ll find a resistive-memory-based chip that can compute the largest matrix of numbers of any analog AI system yet.Neither has a commercial future, according to Verma. Less charitably, this part of his lab is a graveyard.Analog AI has captured chip architects’ imagination for years. It combines two key concepts that should make machine learning massively less energy intensive. First, it limits the..

IEEE Spectrum : Computing Startup’s Analog AI Promises Power for PCs