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       #Robust Machine Learning  and Artificial  Intelligence   

         Technology have a  main  ingredient :


                                           MATHematical Design


          #We share 


                                                        LogicKnowledge

                         


       #Collaborative innovation in:

                    Healthcare   

                    Drug Discovery

                    Diagnostic Tools

                    Omics Data Science

                    Signal Processing

                    Radio Satellite

                    Medical Data

                    Image Processing

                    Satellite Image Mapping

                    fRMI Denoising and Detection                    

                    Quantum Computing

                    Cryptography

                    Sensor Modelling

                    Semiconductors

                     Metrology Tools

                     Finance

                     Volatility Insights

        

 Expertise


 Answer Artificial Intelligence Challenges with  Robust Technology   

Industry


Semiconductors

Improve productivity and reduce costs using an accurate prediction methodology 

Cars and Aircraft's manufacturing:

 Optimize the production chain to better control interactions

Finance


  Real-time bid decisions help 

Estimate market volatility

           Customer behavior prediction

Organize assets

               Reliable market reports

               Discovery of past errors

              channels                                               


Health


Clinical Trails Companion for Regulatory Organisms

Data analysis of post-market complaints

       Driven parallel  investigation on 

phase 4

Clinical Trails Companion  for Pharmaceutical Laboratories

Second opinion report to decide

trails continuation on phase 3


Research



Mathematical systemic methods adapted to challenges from signal processing and computational biology to quantum computing.

New Paragraph

Deploying today the data science of tomorrow

Against copy and paste methods, against fitting data without mathematical data topology comprehension, against patterning problems with ''miracle'' methods such as deep learning, we process the data with great accuracy,  picking from a broad mathematical culture the appropriate tool to create the best machine learning algorithm,  with the warranty of robustness and optimality,  ahead of the data science state of the art.  No worries, we use also well-tailored deep learning when needed.

Making the point

We are able to find the needle in the haystack while discovering assets of your data that may be never sought.

Our clients experienced spectacular business increases using our technology. 


Easy to use and reusable


Our deliverables are easy to use with friendly interfaces. The code is your propriety, you may reuse it!


Dedication

The success of your project is our main focus.  A professional fully available for you will ensure step by step each stage.

Just in time, for you and for us 

We keep deadlines and make all efforts to identify time-changing issues. 

Learn to build your own robust tools

WORKSHOPS


ROBUSTNESS  FOR MACHINE LEARNING APPLICATIONS


Time format: 2 days;  extension on demand


Public: R&D /ML Devs/Data Science Teams, AI  Departments


 Special: Focus for  industries where precision is an asset:                                                   Finance, Clinical Trials, Robotics, Data Management


Prerequisites:


        **      good knowledge of standard ML  techniques

        **      logical skills

         ***  motivation


Topic: A robust AI aplication  is not only a quality label, it is a responsability.  This is much more than  adding noise to the model and study  outputs. The rigorousity and good fit of a ML algorithm with respect to the problem to solve  are concepts mathematicaly defined

which have to  follow  rules  making the Robust Data Scientist Chart.

This is a consistent difference  with heavy impact on  products.

So let's talk about robustness! 



First Day: Robustness : how to check it?


    AM: Concept comprehension, methodology and pitfalls

    PM :  Coding exercises  to help  the class  objectifs on current work

Second Day: How to build a robust algorithm


     AM: Overspread, Deepness, Localisation

     PM: Real time implementations;  ongoing or future AI projects of participants  are welcome


AVANTIV CAMBRIDGE Attendence Certificate for  all participants

   


Pass AI Valley
Bridge the gap
Use Avantiv AIm'bridge

Now is  time to give strength to your team. 
Allow them full potential.
Discover and develop how to enhance your clients trust on your products  and services. 

Learn More

ROBUSTNESS FOR MACHINE LEARNING 

            WORKSHOP & CERTIFICATE

Send us your details and we’ll get back to you to schedule a time to talk.

Services


Ping Plan Assistance (PPA)

Are you stacked in the middle of your project? We are happy to assist you. Apply for our monthly plan to get immediate debugging service. You may benefit from our preferential rates for perennial connexions.

 Companion Assistance (CompA)

You subscribed to the  Ping Plan assistance and you wish to have your project quickly done. Take advantage of our experience and entrust us with implementation tasks also. You will be delighted not only by the quality of the output but the clarity  style of the documentation.

All inclusive

We take care of your project from the beginning to the end. With quick and accurate responses to all your queries, you’ll be ahead of the time and the best in your business.

 INNOVATIVE TOOLS

 Towards Exact  Medicine

 

  Robust Diagnosis & Therapy 


Biological Data  Connectivity


Obsoleting Networks

Market Volatility Estimation


Hidden Features Revealed

Contact us

Phone: +447584921418

50-60 Station Road
Cambridge  CB12JH
United Kingdom
expertise@avantiv.co.uk

Contact us

HACK YOUR

#GOODHABITS


     Improve your skills by joining our                                   webinar


    When  EASY becomes TOXIC :

How  to  overcome typical  mistakes  in MACHINE LEARNING made with  ''COPY & PASTE" approach


2nd of August   16:00-17:00 (GMT + 1)



Steering parameters to fit  data & model in ML is a common  task for the Data Scientist. The webinar uplifts awareness about many cases when this habit is dangerous, contributing to the error propagation and making AI prone to wrong answers..




Contact us

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