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."

Watch Arrow Electronics' webinar to explore how TinyML is revolutionizing device interaction and human activity recognition.

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.

Watch the Arm Tech Talk focused on TinyML in assistive technology and discover the simple process of creating such devices using the Neuton.AI platform.

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.

Neuton.AI presented AI capabilities for ISPU and highlighted the potential of running complex analytics on a resource-constrained device during STMicroelectronics' webinar.

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.

Watch the Demo of Neuton.AI’s Gesture Recognition model for the xG24-DK BLE Remote Control Application presented by our partners Silicon Labs and Arrow Electronics at the TinyML EMEA Innovation Forum 2023.

Check out the fascinating presentation on Blair Newman of Neuton.AI 's innovative approach to building ultra-tiny neural networks <5kb in size that can be directly embedded into any sensor at the tinyML EMEA Innovation Forum 2023.

In case you were unable to attend Sensors Converge 2023, this remarkable presentation delves into how Neuton.AI can enhance the intelligence of even sensors leveraging ultra-tiny neural networks.

Watch the presentation of an ultra-efficient teeth-brushing tracking solution leveraging Neuton's ultra-tiny Neural Networks with less than 5 Kb in total footprint in action at the Arm Tech Talk event.

• Incredibly small total footprint solution 
• Recognizing similar complex hand movements 
• Reproducible on your device

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.

Can AI save lives? Definitely yes! Learn how to implement sensor fusion and tiny machine learning to detect smoke and get notified in a timely way if a fire starts.

Neuton.AI, represented by our embedded engineer, Sumit Kumar, will participate in the new Arm’s AI Tech Talk on September 20th, at 8:00 AM PT. You don't want to miss this!

Is it possible to create a faster and more accurate magic wand than the original one? Thanks to the new technology, you can build a similar solution automatically, and with more impressive results!

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.

We launched our very first Neuton Maker Day! The webinar brought together five talented makers who shared their unique ready-to-go tinyML projects developed with the Neuton platform.

Neuton’s team, represented by Blair Newman and Danil Zherebtsov, was excited to kick off a series of deep-dive sessions organized by the tinyML Foundation as part of the tinyML Auto ML Forum.

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.

Let's recreate a popular paper-and-pencil game, Xs and Os, on M5Stack Core using handwritten digits recognized by the TinyML model. The project is inspired by the popular MNIST dataset.

Electricity permeates the entire infrastructure of modern cities, so it's really important to monitor and prevent overloads. Explore how to predict electrical grid stability with Neuton and Particle IoT.

Ever thought about how water enters the central heating pipes? The secret is the proper operation of water pumps. Learn how to use RSL10 sensors and Neuton to run models for timely pump maintenance.

Any F1 fans here? Imagine how cool it would be to predict which F1 car will finish the race first! This case shows how to collect and analyze data to predict the champion, based on accelerometer and gyroscope sensors.

What if we say that there’s a more budget-friendly way to detect occupancy than computer vision? Learn how to identify if a room is empty or not using environmental sensors and tabular data.

Worrying about whether your parcels are transported safely? Learn how you can apply TinyML to easily track the status of your packages and monitor if they are moving, resting, impacted, thrown, picked up, etc.

Do you often find your "smart" vacuum cleaner blocked by a carpet, a doorstep, or even your brand-new shoes? Learn how to make your robot smarter by running a TinyML model on an Arduino board, Nicla Sense ME.

This project is focused on MNIST-based handwritten digit recognition in embedded systems through deep learning. We'll demonstrate how to easily recognize passwords using the TinyML approach on a tiny MCU.

Our CTO, Blair Newman, made a sensational statement at the tinyML Summit 2022 in March as he declared that the ideal weight of a tinyML model is <1 Kb!

Another cool experiment by Sumit Kumar is a detailed set of guidelines on how to make your dataset, train the model, and run it on a low-power MCU to recognize drawn digits on a touch interface!

How to quickly develop TinyML models to recognize custom, user-defined drawn gestures on touch interfaces? Check out the project inspired by a gesture recognition feature on a simple smartphone.

Would you like to learn how to create smart devices and build tiny ML models in three clicks?

Inspired by the "Tiny ML Cookbook", written by Gian Marco Iodice, we decided to repeat a tinyML experiment and build a tiny weather station with an 8-bit model for predicting the probability of snow.

How can modern technologies, TinyML in particular, help us solve the problem of water pollution? Are preventive measures much better than simple monitoring? Find answers to these questions in our project.

Forrester’s Overview Of 35 AI/ML Platform Providers.

A great chance for you to meet the author of the TinyML Cookbook, Gian Marco Iodice, a team and tech lead in the Machine Learning Group at Arm, Co-founder of the tinyML Foundation UK and get useful knowledge from the best industry leaders of the Arm, Arduino, and Neuton teams!

How to apply the TinyML approach to detect broken tooth conditions in the gearbox? Is it possible to predict gearbox failure on a simple $4 MCU? Read further to learn how.

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

Explore how to apply the TinyML approach in the automotive industry to detect truck failure related to the Air Pressure System (APS). It's better to prevent a failure than repair the damage, isn't it?

Overview and architecture of IOT and MLOps embedded solutions and their constraints

Can TinyML help in preventing air pollution? Learn how to create a tiny machine learning model and run inferences on a microcontroller to detect the concentration of various chemical gases.

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.

Building a gesture recognition system with Arduino and Neuton. In this experiment, the system is designed to solve a binary classification task and recognize two gestures: a punch or a flex movement.

Practical AI Masterclass to discover the fundamentals of AI, Machine Learning, and TinyML for smart technologies from experts in the fields

Food waste has become an acute problem for the environment recently. Can tiny machine learning be a useful solution for detecting if the products are fresh or not? A little spoiler: yes, it can!

Can a user without data science knowledge make a tiny but smart medical device? Predict the possibility of cardiac arrhythmias on an 8-bit MCU, without sending the corresponding data to the cloud.

At Neuton.AI we’re gathering seasoned industry experts to introduce you to promising, forward-leaning technology - Tiny ML!

Developing a secure TinyML-based delivery solution for farmers to provide detailed product-specific information, help them avoid fake products in the agrochemical industry, and increase productivity.

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.  

Dr. AngShuMan Ghosh will outline the top 5 tips every data scientist needs to know to solve business problems more efficiently in 2022. He will cover essential aspects such as the industry overview, roles, skills, websites, and useful tools.

We all think we know what bad data looks like, but what is it and what are the consequences?

Get the useful career tips on how to get your dream job in datascience from Chris Armbruster, PhD from the AI Guild

How to Scale up AI Adoption?

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.

This webinar is a part of Neuton’s AI Talent Lab Series. Its main goal is to help you avoid common mistakes and launch a successful implementation of MLOps at your organization.

Watch our workshop about best Microsoft practices and real business cases in using ML techniques to predict customer satisfaction by Fabio Correa, Director of Business Analytics at Microsoft and Professor of Artificial Intelligence at Kaplan Business school.

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.  

Blair Newman, will explain how any user can create a ready-to-go ML solution with our no-code platform, Neuton.AI.

Being able to deploy Machine Learning applications at the edge is the key to unlocking a multi-billion dollar market. 

Neuton is an AutoML solution, empowering organizations to leverage Machine Learning in order to solve their business problems in just a few simple steps.

Check out our case study video. 

How does Neuton create incredibly compact models in just one iteration without compromising accuracy? 

 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.

How AI and Machine Learning are paving the way to bring innovative concepts to the banking industry’s business model.  

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 released the Explainability Office, a unique set of tools allowing users to understand why certain predictions have been made, identify the logic behind the model analysis and evaluate model quality at every stage.

Neuton was among the selected AutoML companies in the Forrester’s Now Tech: Predictive Analytics and Machine Learning (PAML), Q2 2020 report.

The partnership with Google Cloud allows any company to easily use Neuton to build compact, fast, self-growing and learning AI models with just a few clicks.

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. 

Neuton introduces a disruptive neural network framework that is far more efficient and effective than any other framework and non-neural algorithm available on the market.

Deep learning neural networks are behind much of the progress in other areas of AI these days.  

The biggest tech subject of the day is one that fascinates, bemuses, befuddles and confuses us. What is artificial intelligence or AI, as it is better known?