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Redefining the transistor: The ideal building block for artificial intelligence

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SINGAPORE, March 28, 2025 /PRNewswire/ — The team led by Associate Professor Mario Lanza from the Department of Materials Science and Engineering in the College of Design and Engineering at the National University of Singapore, has just revolutionised the field of neuromorphic computing by inventing a new super-efficient computing cell that can mimic the behaviour of both electronic neurons and synapses. The work, titled “Synaptic and neural behaviours in a standard silicon transistor” was published in the scientific journal Nature on 26 March 2025 and is already attracting interest from leading companies in the semiconductor field.

Electronic neurons and synapses are the two fundamental building blocks of next-generation artificial neural networks. Unlike traditional computers, these systems process and store data in the same place, eliminating the need to waste time and energy transferring data from memory to the processing unit (CPU). The problem is that implementing electronic neurons and synapses with traditional silicon transistors requires interconnecting multiple devices — specifically, at least 18 transistors per neuron and 6 per synapse. This makes them significantly larger and more expensive than a single transistor.

The team led by Professor Lanza has found an ingenious way to reproduce the electronic behaviours characteristic of neurons and synapses in a single conventional silicon transistor. The key lies in setting the resistance of the bulk terminal to a specific value to produce a physical phenomenon called “impact ionisation,” which generates a current spike very similar to what happens when an electronic neuron is activated. Additionally, by setting the bulk resistance to other specific values, the transistor can store charge in the gate oxide, causing the resistance of the transistor to persist over time, mimicking the behaviour of an electronic synapse. Making the transistor operate as a neuron or synapse is as simple as selecting the appropriate resistance for the bulk terminal. The physical phenomenon of “impact ionisation” had traditionally been considered a failure mechanism in silicon transistors, but Professor Lanza’s team has managed to control it and turn it into a highly valuable application for the industry.

This discovery is revolutionary because it allows the size of electronic neurons to be reduced by a factor of 18 and that of synapses by a factor of 6. Considering that each artificial neural network contains millions of electronic neurons and synapses, this could represent a huge leap forward in computing systems capable of processing much more information while consuming far less energy. Furthermore, the team has designed a cell with two transistors — called Neuro-Synaptic Random Access Memory (NSRAM) — that allows switching between operating modes (neuron or synapse), offering great versatility in manufacturing since both functions can be reproduced using a single block, without the need to dope the silicon to achieve specific substrate resistance values.

The transistors used by Professor Lanza’s team to implement these advanced neurons and synapses are not cutting-edge transistors like those manufactured in Taiwan or Korea, but rather traditional 180-nanometer node transistors, which can be produced by Singapore-based companies. According to Professor Lanza, “once the operating mechanism is discovered, it’s now more a matter of microelectronic design”.

The first author of the paper, Dr Sebastián Pazos, who is from King Abdullah University of Science and Technology, commented, “Traditionally, the race for supremacy in semiconductors and artificial intelligence has been a matter of brute force, seeing who could manufacture smaller transistors and bear the production costs that come with it. Our work proposes a radically different approach based on exploiting a computing paradigm using highly efficient electronic neurons and synapses. This discovery is a way to democratise nanoelectronics and enable everyone to contribute to the development of advanced computing systems, even without access to cutting-edge transistor fabrication processes.”

Read more at: https://news.nus.edu.sg/advancing-semiconductor-devices-for-artificial-intelligence.

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SOURCE National University of Singapore

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Algorized and ZHAW School of Engineering Launch Research on Predicting Human Movement Around Collaborative Robots, funded by InnoSuisse

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A two-year program studies how sensor fusion enhances human presence detection and safe human-machine interaction.

ETOY, Switzerland, Oct. 20, 2026 /PRNewswire/ — Robots working beside people need a reliable estimate of human movement. Their controllers also need to know how far they can trust that estimate. Algorized and ZHAW Zurich University of Applied Sciences Institute of Signal Processing and Wireless Communications ISC have launched a two-year research program to study both questions. The collaboration is funded by InnoSuisse.

The program, “Real-Time Human Perception via Edge-AI Wireless Sensor Fusion for Collaborative Robotics”, runs from September 2026 for two years. It builds on earlier research by Algorized and ISC on ultra-wideband (UWB) radar.

The program aims to combine raw wireless and optical signals in one fusion layer between a robot’s sensors and its controller. Researchers aim to weight each input by confidence and produce a calibrated estimate of a person’s position and predicted path.

Algorized processes raw data with one foundation model to detect human presence and classify whether it is a human or an object. The program tests whether combining raw inputs in sensor fusion, before each sensor makes its own decision, creates a holistic layer for the human-aware machines.

Each sensor type adds different information. UWB radar and Wi-Fi sensing can help detect a person behind a shelf or a machine. Millimeter-wave radar holds its lock through dust, steam, glare and darkness. RGB and time-of-flight cameras add spatial and semantic detail. The program studies how these inputs work together.

The research has four goals. The first three are to sense people in approach to the robot, tell living from non-living objects, and track and predict each person’s path. The fourth is to send the robot controller a graded instruction: continue, slow down, or stop. The inference target is under 100 milliseconds on standard industrial edge hardware. Algorized’s planned safety functions cover presence detection, localization and tracking.

A model of this kind needs its own training data. That data must come from real facilities with people moving through them. Researchers who understand the physics must interpret it. The goal is a core model that transfers across sensor types, vendors and sites without retraining for each deployment.

“Machines enter the physical world,” said Natalya Lopareva, CEO and Founder of Algorized. “For robots to coexist with humans, they need to understand the people around them. We are exploring every sensor and every layer of compute to make shared spaces safe. That takes research, and we are doing it together with the ISC at the ZHAW School of Engineering.”

“The program brings ISC sensing research into real industrial sites. Researchers will combine radar, Wi-Fi, and optical signals to distinguish approaching people from other objects and then estimate the person’s position and movement. The program investigates how the reliability of this estimation can be measured and how to predict where a person will go next,” said Marc Kuhn, Deputy Head of ISC at the ZHAW School of Engineering.

About Algorized

Algorized builds the edge-native nervous system for Physical AI. Its foundation model senses human presence, vital signs, and intent through occlusion – delivering real-time human-aware perception from standard wireless sensors, where cameras and light-based systems go blind. Backed by the Amazon Industrial Innovation Fund and rooted in four years of Swiss sensing research, Algorized partners with silicon manufacturers and industrial OEMs across robotics, automotive, and smart spaces. Learn more at www.algorized.com.

About the ZHAW School of Engineering

The School of Engineering is one of eight schools of the ZHAW Zurich University of Applied Sciences. With 14 institutes and centres, the ZHAW School of Engineering is one of Switzerland’s leading institutions for technical education and research. It provides high-quality degree programmes and continuing education and develops innovative solutions for industry, focusing on the areas of energy, mobility, information and health.

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SOURCE Algorized

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Yoodli Named 2026 Inc. Power Partner for Helping Enterprise Teams Build Skills That Show Up on the Job

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Recognition follows a year in which Yoodli customers including Google and Intuit earned 11 Brandon Hall Group awards for programs built on Yoodli

SEATTLE, Oct. 20, 2026 /PRNewswire/ — Yoodli, the AI Platform for Human Skills, has been named a winner of the 2026 Inc. Power Partner Awards, which recognize the B2B companies that entrepreneurs and businesses rely on to grow.

Inc. selected this year’s honorees for a proven track record of helping companies build and scale, across areas from hiring and compliance to technology, fundraising, and marketing.

“Business owners have no shortage of tools at their disposal, and B2B companies need to make clear why their products and services are worth the investment,” says Bonny Ghosh, editorial director at Inc. “The companies on this year’s Power Partners list have done just that. They don’t just have customers, they have superfans and evangelists. Across industries like marketing, financial services, and technology, they’ve proved their dedication to helping fellow business owners grow and succeed.”

“The best validation we get isn’t an award for Yoodli. It’s watching our customers’ teams get recognized for the work they do with us,” said Varun Puri, co-founder and CEO of Yoodli. “Organizations are under real pressure to get their people ready for an AI-first world, and practice alone doesn’t get them there. Our job is to help skills carry over into the moments that matter, and to show leaders the results.”

“Being a Power Partner means our customers’ results are the scoreboard,” said Mike Rich, head of partnerships at Yoodli. “We work alongside training firms, consultancies, and enablement leaders who build skills programs for their own clients. Together we create immersive training experiences and demonstrate measurable outcomes.”

“Every training company says their program works. The hard part is proving it,” said Jeff Bittner, senior director of digital and AI at Braintrust and a member of Yoodli’s Customer Advisory Board. “In two and a half years with Yoodli, we’ve mastered it. Every seller starts with a baseline and a personal record to beat, allowing us to coach the cause instead of the symptom. We’ve seen enterprise clients with hundreds of users adopt at 96%, and others increase their connection level from 22% to 67% in three months. That’s what a real partner does. We make our clients better by providing tools that move the needle.”

Yoodli was recognized for the measurable outcomes its customers have achieved in 2026. Google’s GBOedu Commercial Enablement team won seven awards at the 2026 Brandon Hall Group HCM Excellence Awards (three gold, three silver, one bronze) for scaling AI roleplay practice across its sellers with Yoodli. Intuit’s Global Sales Enablement team earned four Brandon Hall Group awards for programs powered by Yoodli, including gold in Learning & Development Strategy and in Leadership Development.

The company also reached several milestones this year. Yoodli was named to TIME’s Best Inventions of 2026 in the Education category and to LinkedIn’s 2026 Top Startups list for Seattle. It grew past 100 employees and moved into a new headquarters at Pier 70 on the Seattle waterfront. Organizations including Google, Snowflake, Databricks, and Intuit use Yoodli to coach, train, and measure skills across their workforce.

For more information on Inc.’s Power Partner Awards or to view the complete list of honorees, visit inc.com/power-partner-awards.

About Yoodli

Yoodli is the AI Platform for Human Skills. Through AI coaching, learning journey creation, roleplays, personas, and measurement, Yoodli helps people get measurably better in their careers and helps organizations upskill their workforce for an AI-first world. Proven in high-stakes revenue teams and built for company-wide scale, Yoodli is used by organizations including Google, Snowflake, Databricks, and Intuit. Learn more at yoodli.ai.

Media Contact:
Sage Quiamno
press@yoodli.ai
+1 (808) 232-1321

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SOURCE Yoodli

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RBC tops JD Power Retail Banking Satisfaction Study among Big Five banks for third consecutive year

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TORONTO, Oct. 20, 2026 /CNW/ — RBC is pleased to be named Highest in Customer Satisfaction Among the Big Five Retail Banks by JD Power for the third year in a row, and the fourth time in five years. The recognition stems from the JD Power 2026 Canada Retail Banking Satisfaction StudySM, which gathers feedback from thousands of retail banking customers nationwide.

“The trust clients place in us reveals itself in moments big and small, and this study captures that,” said Erica Nielsen, Group Head, Personal Banking, RBC. “We are grateful to our clients who continue to choose RBC, and this award belongs to the employees who show up for them with care and expertise.”

RBC earned an Overall Satisfaction score of 619, finishing nine points ahead of the Big Five average of 610 and holding the number one position among the Big Five across all seven dimensions measured in the study, including Digital Channels and Problem Resolution. The bank’s eight-point improvement outpaced the industry average gain. RBC stands out most in Level of Trust, Account Offerings meeting my needs, and Allowing me to bank how and when I want, where it holds significant leads over the average.

The study also points to continued momentum, with RBC building on its strengths in Digital Channels and Account Offerings, along with improvements in Online Chat, New Account Opening, Product/Fees, and Convenience.

“We keep the client at the centre of everything we do, and that focus is reflected in the areas where we are leading. Whether someone is opening an account online, chatting with us through our digital channels, or sitting down with an advisor, we look across every part of RBC to make sure each experience is built around them. I want to thank our teams across the country for making that commitment felt every day.”

The JD Power 2026 Canada Retail Banking Satisfaction Study drew on responses from 14,038 retail banking customers surveyed in two waves between January and February and between July and August 2026.

About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 105,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 19 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.‎

We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/peopleandplanet.

For more information, please contact:
Habiba Ahmad, RBC Communications, 437-993-3245

SOURCE RBC Royal Bank

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