Researchers have advanced a decades-old challenge in the field of organic semiconductors, opening new possibilities for the future of electronics.
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Altair’s Future.Industry 2025, a premier global virtual event, united professionals, innovators, and technology enthusiasts to explore the convergence of advanced technologies and sustainability.
Scientists at EPFL and IBM Research have developed a compact optical amplifier based on a photonic chip that vastly outperforms traditional optical amplifiers in both bandwidth and efficiency. This breakthrough could reshape data center interconnects, AI accelerators, and high-performance computing.
3 minutes read
Event-based computing is transforming AI processing, delivering smarter, faster, and hyper-efficient solutions across industries like IoT, healthcare, and automotive.
Researchers began to explore metasurfaces — materials whose geometry gives them special properties. Instead of bending light inside a piece of glass or plastic, like a conventional lens, a metasurface diffracts light around tiny objects, like light spreading out as it passes through a slit.
5 minutes read
A computational model of the basic functional unit of the placenta enables researchers to simulate placenta blood flow, realistically.
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
NPUs are integrated units that excel in real-time AI tasks on edge devices like smartphones and IoT systems with low power consumption. TPUs are standalone processors designed for large-scale AI workloads in data centers, delivering exceptional performance in deep learning tasks.
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
Liu and team receive NSF EFRI grant for biocomputing research
Fine-tuning large language models adapts pre-trained models to specific tasks or domains using tailored datasets, while Retrieval-Augmented Generation (RAG) combines retrieval systems with generative models to dynamically incorporate external, up-to-date knowledge into outputs.
This article presents a comprehensive technical analysis of CPLD vs FPGA, focusing on their architectural distinctions, performance metrics, design flows, and implementation methodologies.
Edge AI Technology Report: Generative AI Edition Chapter 1. Generative AI's demand for real-time insights is driving a shift from cloud to edge computing, enabling faster, local processing on devices and reducing cloud latency and bandwidth constraints.
A research team at Texas A&M has received a $1.8M National Science Foundation Future of Semiconductor grant to develop new energy-efficient interconnect technologies for microchips.
2 minutes read
