The Sensors Converge event showcased collaborative in-sensor AI solutions, featuring a smart ring using Neuton's ultra-tiny neural networks integrated with STMicroelectronics' ISPU sensor.
Danil Zherebtsov and Danilo Pietro Pau co-presented a session on in-sensor AI titled "Deploying Neural Networks in Sensors with Near-Zero Memory Budget."
We were delighted to showcase our ultra-small neural networks along with our partners at Embedded World 2024.
During Embedded World 2024, we had the pleasure of showcasing our cutting-edge in-sensor AI solutions in collaboration with STMicroelectronics.
Silicon Labs and Neuton.AI collaborated to create an on-device package tracking solution with ultra-compact neural networks, which was presented at EW24.
We were pleased to present our joint in-sensor AI project in partnership with Arduino & Bosch Sensortec at EW 2024.
We were delighted to present our joint In-Sensor-AI project with STMicroelectronics at the Mobile World Congress 2024.
We are thrilled to announce a new feature on our Neuton.AI platform that allows users to compare multiple growth and model construction iterations on a single graph.
We are excited to announce that our joint project with Bosch Sensortec GmbH and Arduino showcased the potential of In-sensor-AI at CES 2024.
We had the honor of presenting In-sensor AI at the Technology Tour, hosted by our partner STMicroelectronics in Santa Clara.
During the SEMI MEMS & Sensors Executive Congress in 2023, Neuton.AI was afforded the opportunity to present its In-Sensor-AI concept to the audience.
We are excited to share a report about the recent competition held by Neuton.AI in collaboration with STMicroelectronics and IEEE.
We are pleased to announce that Neuton.AI has become an official partner of STMicroelectronics. We are thrilled to witness the increasing recognition and enthusiasm for our distinctive approach in developing ultra-tiny neural networks for programmable sensors.
We will demonstrate two live demos that perfectly illustrate the uniqueness of our approach: Keyword Spotting –> 40 Kb in total footprint and Human activities recognition –> 3 Kb in total footprint.
Meet the long-awaited IEEE newsletter issue with the release of the second part of A Practical Guide with 3 full-cycle use cases illustrating the innovative Automated Design of Tiny Machine Learning Models.
Together with colleagues from STM, Neuton's team shares a new approach to creating TinyML models in the article, published in the latest IEEE newsletter issue.
A special 20th-anniversary edition of the Embedded World 2022 took place on June 22-24 in Nuremberg, Germany. The Neuton team was excited to attend the event and meet the global embedded community.
Forrester’s Overview Of 35 AI/ML Platform Providers.
In the recent decade, Machine Learning (ML) has experienced a surge in applications in several branches of applied science, social sciences, business, and economics. ML is complex, and choosing the optimum algorithm takes a great deal of knowledge, energy, and intuition on behalf of the user.
Executives at four top AI vendors discuss key trends driving the market, and give advice about how to select an AI solution; they also predict the future of AI
Overview and architecture of IOT and MLOps embedded solutions and their constraints
With the Awards’ independent judging panel coming to the end of their process of narrowing down a record number of entries – the finalists for each of the 14 categories have been announced.
Neuton CTO Blair Newman talks about building and training compact models without code, machine learning applications for businesses and educational institutions, common misconceptions about tiny ml, and dealing with inconsistent data.
Our first common course in collaboration with SiliconValey4u for IIM Ranchi students.
Neuton.AI has joined the Arm® AI Partner Program, to bring intelligence to the edge.
Artificial Intelligence and Machine Learning for the Internet of Things (IoT) in 2021.
Model Interpretation is no longer a choice but a necessity to interpret a data science model.
The Director of Data Science and Engineering at Neuton.ai gives an overview of the top 10 books that can help data analysts gain insights into exploratory analysis, hypothesis testing, data visualization, business intelligence, and machine learning.
An overview of the platform, its capabilities, and an example of usage.
Blair Newman, CTO at Neuton, explains how “TinyML” is used to deploy machine learning on tiny microcontrollers at the edge.
Neuton AutoML platform makes Artificial Intelligence (AI) available to everyone.
Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market.
Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market.
ARM invited us to share our innovative approach to the creation of compact predictive models during the AI Virtual Tech Talk on September 7th.
Yes, even your grandma can build machine learning models now.
Being able to deploy Machine Learning applications at the edge is the key to unlocking a multi-billion dollar market.
Neuton is now on Product Hunt!
Along with the leading experts from Qualcomm, Juniper and Nvidia, Neuton’s CTO, Blair Newman took part in an online session within the Startup Village 2021 where they covered the topic of today’s TinyML technologies and their great potential to run machine learning algorithms on microcontrollers.
CTO Blair Newman takes part in the online event: TAG Data Science & Analytics Presents Explainable AI. Blair discusses and walks us through Neuton’s Explainability Office and shares how it can be used to interpret data derived from Neuton’s simple 3-click model, training and prediction process.
Blair Newman, Neuton CTO, discusses the state of AI in Telecom at Ai4, the AI industry’s leading event. Watch the video recording of this event where we showcase how Telecom customers can leverage Neuton to lead the way forward.
Neuton was among the selected AutoML companies in the Forrester’s Now Tech: Predictive Analytics and Machine Learning (PAML), Q2 2020 report.
Forrester invited Neuton to participate in The Forrester New Wave: Automation-Focused Machine Learning Solutions, Q2 2019.
What if anyone could build their own AI solution, with little or no knowledge of data science? Well, that chance might be closer than you think…
Matthew Grant discusses neural network framework for AI applications with Bell Integrator’s CTO, Blair Newman.
Deep learning neural networks are behind much of the progress in other areas of AI these days.
