Neuton

The TinyML EMEA Technical Forum 2021 is in full swing, and we’d like to remind you that our CTO, Blair Newman, will deliver the keynote speech on how to build tiny but extremely accurate models with our Neuton Platform in just a few hours.

We are excited to share with you an article on ZDNet introducing our disruptive approach to building exceptionally tiny models with explainability for Data Scientists and Non-Data Scientists alike. Enjoy: https://hubs.la/H0PL6jP0

Learn more about how this is accomplished in our keynote speech on Tuesday, June 8, 2021, from 4:15 pm to 5:00 pm UTC +1. Register online, for free, here: https://hubs.la/H0P1cMX0 #artificialintelligence #datascience #machinelearning #AI #ML #tinyml

Neuton does not reduce the model size after its creation. Nor does Neuton apply quantization, pruning, clustering, nor distillation. Neuton allows you to build [tiny] models automatically and EMBED them. We share how this is accomplished in our keynote speech on Tuesday, June 8, 2021, 4:15 pm to 5:00 pm UTC +1. Register online, for free, here: https://hubs.la/H0P19T-0 ... #artificialintelligence #datascience #machinelearning #AI #ML #tinyml

One of the key challenges in TinyML is building a quality model small enough to be successfully embedded into a microcontroller. Based on the considerable number of people working on solving these problems, the speed of their progress and our own success in this area, we are confident that these will soon be a problem of the past. The time will then come for the next stage of machine learning development on edge devices: Explainability. People will, of course, be eager to ...understand the logic behind the model and why certain predictions have been made. After all, by understanding the logic of the machine learning model, one can: - Find hidden relationships in data - Understand which factors affect the prediction results, and to what degree - See direction and the effects of changes in individual variables in a model - Evaluate the importance of each variables in relation to the target variable - Prevent model decay In our talk, we will discuss how, in spite of the difficulty of building explainability tools for neural networks, it is certainly possible and should absolutely be done. After all, explainability tools will ultimately bring huge value to businesses. We will also share the specific approaches we use to built explainability and visualization tools. Register online for free here: https://hubs.la/H0P18r50 #artificialintelligence #datascience #machinelearning #AI #ML #tinyml

We believe that tinyML is one of the most promising areas in data science and engineering, therefore we were delighted to agree to be the premier sponsor of tinyML EMEA Technical Forum 2021. Don't miss the registration! https://hubs.la/H0N_XFN0 About the event: ... Leading experts in tinyML will deliver an overview of today’s tinyML technology capabilities and contemporary business projects, with aspirations to: -promote the global community of scientists, engineers & system engineers, designers, product management specialists and businessmen in the field of hardware and software -invite experts and beginners to participate in the development of advanced machine learning methods with ultra-low power consumption -promote and encourage open knowledge sharing between researchers and industry specialists to boost the industry’s growth -connect technologies and innovations to various products and business opportunities, creating value for the whole ecosystem and industry vertical structures #artificialintelligence #datascience #machinelearning #AI #ML

Our unique framework allows creation of a neural network structure of THE OPTIMAL SIZE & ACCURACY. Interested to hear how? We will give away all of the secrets during our keynote speech, Tuesday, June 8, 2021, 4:15 pm to 5:00 pm UTC +1 Register online, for free, here: https://hubs.la/H0N_Swy0 #artificialintelligence #datascience #machinelearning #neuronetworks #AI #ML

As a member of the tinyML EMEA Technical Forum 2021 committee, we are excited to see several interesting presentations being prepared! If you are interested in advanced ML methods with ultra-low power consumption, don't miss this event. We believe that this is the future! Registration is available here: https://hubs.la/H0N_BGP0 #artificialintelligence #datascience #machinelearning #ai #ml

We, at Neuton, believe that tinyML is one of the most exciting and promising areas of data science and engineering therefore we enthusiastically agreed to be the premier sponsor of the upcoming tinyML EMEA Technical Forum 2021, held jointly by #ARM and #Qualcomm with the #tinyML Foundation. Don’t miss it! You can register online for free here: https://hubs.la/H0N_mpC0 About the event: ... Leading experts in tinyML will deliver an overview of today’s tinyML technology capabilities and contemporary business projects, with aspirations to: - promote the global community of scientists, engineers & system engineers, designers, product management specialists and businessmen in the field of hardware and software - invite experts and beginners to participate in the development of advanced machine learning methods with ultra-low power consumption - promote and encourage open knowledge sharing between researchers and industry specialists to boost the industry’s growth - connect technologies and innovations to various products and business opportunities, creating value for the whole ecosystem and industry vertical structures #artificialintelligence #datascience #machinelearning #ai #ml

Free online registration is open for the upcoming tinyML EMEA Technical Forum 2021. TinyML is a fast growing branch of machine learning technologies, architectures and approaches dealing with machine learning at the very edge. On Tuesday June 8, 2021 4:15 UTC +1 pm, Neuton CTO Blair Newman will make a keynote speech: A novel approach to building exceptionally tiny, predictive and explainable models for non-data scientists.... Let us spark your imagination regarding what’s now possible with Machine Learning, thanks to Neuton! You can register online for free here: https://hubs.la/H0NX89r0 #artificialintelligence #datascience #machinelearning #tinyml

Leading experts from #qualcomm, #junipernetworks, #juniper, #nvidia will deliver an overview of today’s TinyML technology capabilities, business projects, and investment opportunities. Or perhaps you’re interested in how to develop a startup in this area? If so, you won’t want to miss this event! Register to join https://hubs.ly/H0NSr0-0 #artificialintelligence #datascience #machinelearning

Another interesting case study using Neuton has just arrived, thanks to our client, a Sales Force Automation CRM Software, BeatRoute! This easy-to-use & easy-to-deploy system is used by 150+ CPG & BFSI Enterprises to achieve high-impact, goal-driven digital sales transformation across channels. Learn more about how Neuton AutoML helped to build accurate forecasting, allowing BeatRoute’s clients to correctly push the sales of products to retail outlets and reduce lost revenue here: https://hubs.la/H0NMYWP0 #artificialintelligence #datascience #machinelearning

We believe that tinyML is one of the most promising areas in data science and engineering. Do you know this term? Leave your comments #artificialintelligence #datascience #machinelearning #tinyml

Neuton’s models are up to 1000 times smaller in coefficients and size than those built with other existing neural frameworks and non-neural algorithms. Accuracy is not affected. Check our benchmarks based on a dozen of other datasets here: https://hubs.la/H0F1LL50

Hear Jason Schwabline from Alogent share his perspective on the most important factors for implementing Machine Learning: https://hubs.la/H0DWkfX0

Neuton builds models up to 1000 times smaller in size and in number of coefficients compared to other solutions. These tiny models can be easily embedded into your devices or back-end. Model accuracy is not affected by compactness. Check our benchmarks based on Bike Sharing Demand and a dozen of other datasets here: https://hubs.la/H0DMBBd0

Hear Tony Hildesheim share how Redwood Credit Union uses Machine Learning for customer needs identification, member attrition prevention, risk rating and more: https://hubs.la/H0DCrwj0

To what extent is customer income related to a customer’s willingness to make another purchase? Find answers with Neuton. Attend our webinar to learn: https://hubs.la/H0D3xRt0.