Sciblog - A blog designed like a scientific LaTeX paper

Reverse Learning: How to learn the AI used today in the industry

Miguel González-Fierro — Wed, 02 Aug 2023 00:00:00 +0000

Many people trying to switch their careers to Data Science can't land a job even if they spend tons of time and money on AI training. Why? Because most of the training teaches the AI used 20 years ago instead of the AI that companies use today. Data Science teams want candidates who can contribute to their business from day one. To successfully transition to a Data Science career you need to prioritize the AI that is useful for companies. That's the basis of Reverse Learning.

From Cloud Solution Architect to Data Scientist in 4 Months

Miguel González-Fierro — Sun, 02 Jul 2023 00:00:00 +0000

Is it possible to switch your career from Cloud Solution Architect to Data Scientist? Luis Valencia was able to secure an AI job in just 4 months following my mentoring strategy: Reverse Learning. He is currently the Lead Data Scientist in his company working on large language models. This is his story.

The Story of How Nikolaos Got a Data Science Job in Just 3 Months

Miguel González-Fierro — Sun, 05 Mar 2023 00:00:00 +0000

As a mentor of Nikolaos, my primary goal was to guide him toward securing a job in the field of data science. We developed a plan of action that involved improving his resume, LinkedIn, and GitHub profiles, theoretical and practical knowledge, and training on how to approach an interview. Nikolaos was able to get a Data Science position in less than 3 months. In this post, I share his story.

Machine Learning Mastery for Career Growth at Top-Tech Corporations

Aishwarya Naresh Reganti and Miguel González-Fierro — Tue, 14 Feb 2023 00:00:00 +0000

In this interview hosted by The LevelUp Org I provide my perspective on having an exciting career if you are interested in machine learning. Many of the ideas come from what I have observed in academia, the startup world, and big tech. I hope this is useful to people starting their careers and looking for direction.

Start with Transformers

Neil Leiser and Miguel González-Fierro — Thu, 02 Feb 2023 00:00:00 +0000

In this conversation with Neil Leiser, we first dig into my beginning in robotics and the connection between robotics and AI. Then I share a few stories on how to learn AI faster, how to switch fields, taking initiatives, the importance of diversity, and the power of practical knowledge. We finally talk about Data Science at Microsoft where we talk about my career path and the learnings I got from some of the best in the field.

My Most Popular LinkedIn Posts Of 2022

Miguel González-Fierro — Mon, 02 Jan 2023 00:00:00 +0000

In 2022 around 11 million people saw my posts on LinkedIn. I've been posting to help people understand and apply AI. In particular, I focused on how people can switch their careers to AI because that's the journey I followed. Here are some of the most popular posts.

Building Recommender Systems

Seth Juarez and Miguel González-Fierro — Sat, 26 Nov 2022 00:00:00 +0000

Recommendation systems are one of the most exciting AI solutions available today. They are information filters that learn users' behavior based on their historical interactions with items, and then predict their preferences for a given item. In this post, we make an overview of Recommenders, the open-source repository that helps Data Scientists build recommendation systems.

Discover my day to day at Microsoft - Doing a data science project

Miguel González-Fierro — Sun, 09 Oct 2022 00:00:00 +0000

Whether you are interested in changing your career to an AI position or you want to improve your skills as a Data Scientist, it is key to know how to effectively create machine learning projects. In this post, I show how to start a machine learning project, by combining two of the most useful tools we have at our disposal, Jupyter notebooks and Python libraries. See the full video to discover how I create projects in my job at Microsoft.

D4 Data Podcast with Miguel Fierro - Recommendation Systems

Deepak JR and Miguel González-Fierro — Sat, 01 Oct 2022 00:00:00 +0000

Deepak JR interviewed me for his podcast D4 Data Podcast where we discussed everything about recommendation systems. Recommendation systems are one of the most impactful machine learning systems in production in the world. It is not a surprise that they are one of the most complex and demanding solutions, with multiple moving parts that need to be tuned in the right way to improve the user experience and increase revenue.

An Analysis of the Adoption of Top Deep Learning Frameworks

Miguel González-Fierro — Wed, 27 Jul 2022 00:00:00 +0000

There are a lot of people comparing deep learning frameworks in terms of speed or performance, but I haven't seen anyone studying their adoption over time and analyzing the underlying reasons why some attracted more users than others. In this post, I share what I have observed since 2015, and based on historical data, I provide guidance on one of the top questions I get: what deep learning framework should I use?

My most popular LinkedIn posts of 2021

Miguel González-Fierro — Sat, 26 Feb 2022 00:00:00 +0000

In 2021, I started posting on LinkedIn more consistently. A lot of my posts are about simplifying AI concepts so people can discover the field, learn something new or even grow their career in Data Science. In 2021 I got around 2 million views in my content, here are some of the most popular posts.

A Gentle Introduction to Distributed Training with DeepSpeed

Miguel González-Fierro — Sun, 30 Jan 2022 00:00:00 +0000

DeepSpeed is an open-source library that facilitates the training of large deep learning models based on PyTorch. With minimal code changes, a developer can train a model on a single GPU machine, a single machine with multiple GPUs, or on multiple machines in a distributed fashion. In this post, we review DeepSpeed and explain how to get started.

A Gentle Introduction to Matrix Factorization for Recommendations

Miguel González-Fierro — Sun, 28 Nov 2021 00:00:00 +0000

Matrix Factorization is one of the most widely used methods in Recommendation Systems, whose ultimate goal is to understand what is the user preference for a set of items. For example, Netflix tries to understand what movie you would like to watch next. In this post, we explain in simple terms how Matrix Factorization works.

Understanding the new project of Elon Musk, the Tesla Bot

Miguel González-Fierro — Sun, 22 Aug 2021 00:00:00 +0000

Elon Must unveiled a new project to build a full-size humanoid robot, it will be lightweight, with only 57Kg and 40 actuators. The first prototype will be ready next year. After being a researcher for more than 8 years in humanoid robotics, before going full-time into the AI space, here are my thoughts about the Tesla Bot.

A Gentle Introduction to Fourier Transformers for NLP

Miguel González-Fierro — Sun, 23 May 2021 00:00:00 +0000

The attention mechanism is responsible for much of the recent success in NLP tasks such as text classification, named-entity recognition, Q&A, translation to name a few. However, computing attention is expensive. In this post, we summarize a new approach that replaces self-attention with a Fast Fourier Transform, which achieves 92% of the accuracy of BERT while being 7 times faster.

Three Unique Ways to Source Top Tech Talent

Artur Meyster and Miguel González-Fierro — Mon, 29 Mar 2021 00:00:00 +0000

Online education is attracting more and more interest, especially since the COVID pandemic started. There are particular skills that companies demand that can be learned on focused online courses. Sometimes, the best way to find top talent is by looking for top students going through these courses. In this post, we analyze three sources that companies and head-hunters can monitor to find tech talent.

My personal quest to become the best version of myself

Miguel González-Fierro — Sun, 21 Mar 2021 00:00:00 +0000

Every day of my life I try to get a little bit better, grow in some dimension, learn something new and take care of my family. In order to achieve this, I set internal goals and deadlines to push myself forward and measure the results of the actions I take.

Book review: Influence by Robert Cialdini

Miguel Gonzalez-Fierro — Mon, 15 Feb 2021 00:00:00 +0000

Influence: The Psychology of Persuasion by Robert Cialidini describes what are the mechanisms that make us become influenced by other people. The book is full of anecdotes, experiments and stories about the six principles of persuasion: reciprocation, commitment and consistency, social proof, liking, authority and scarcity. What follows is a summary of the key ideas of the book.

Technology Is Reducing The Cost Of Education

Artur Meyster and Miguel González-Fierro — Sun, 17 Jan 2021 00:00:00 +0000

Technology is transforming education dramatically. With rising college costs in the US and Europe, many students face the challenge of going into debt to earn a college degree. Fortunately, the EdTech industry has developed remarkably in recent years, reducing costs and increasing learning opportunities for more people.

10 Reasons why AI has developed faster than Robotics

Miguel González-Fierro — Thu, 20 Aug 2020 00:00:00 +0000

In the last ten years, we have witnessed an explosion in the field of artificial intelligence. AI is everywhere around us, on our computers, our mobiles, our cars. However, a field closely related to AI, robotics, has not developed as much. This post aims to shed some light on some of the reasons why AI has developed much faster than robotics.

A Gentle Introduction to Contextual Bandits

Markus Cozowicz and Miguel González-Fierro — Wed, 01 Apr 2020 00:00:00 +0000

Contextual bandits are a simplified type of reinforcement learning algorithm that use contextual information about the environment to make decisions in real-time and require reward at every step. They can be used for applications such as news recommendation, ads placement on a website, financial portfolio design to name a few. In this post, we give an overview of contextual bandits and explain how they can be used.

ASROB 10th anniversary

Tue, 31 Dec 2019 00:00:00 +0000

This year 2019, was the 10th anniversary of ASROB, the robotic student society at the University Carlos III in Madrid. It is exciting to see that the organization is still thriving, that new students are joining it and that many projects are being developed. In this post we review the history of the organization and reflect on the reasons for its success.

Understanding the Sequential Recommender SLi-Rec

Miguel González-Fierro — Sat, 21 Dec 2019 00:00:00 +0000

Sequential recommenders are a hot topic in Recommendation systems. In this post we do a short summary of one of the latest contributions of Microsoft Research: SLi-Rec. This algorithm has a time-aware component, being able to encode static and dynamic user behavior, and a content-aware component, being able to incorporate contextual information.

Understanding XLNet and its implications for NLP

Miguel González-Fierro — Tue, 19 Nov 2019 00:00:00 +0000

Last year BERT revolutionized NLP and since then there have appeared a large number of improvements over the original implementation: MT-DNN, RoBERTa, AlBERTa. The main feature of these models is their autoencoding nature. On the other hand, a group of autorregressive methods have been proposed like Transformer-XL, GPT-2 or XLNet. In this short post we want to give a short overview of XLNet and its nature and how it compares with BERT.

Revisiting the Revisit of the Unreasonable Effectiveness of Data

Miguel González-Fierro — Sat, 27 Jul 2019 00:00:00 +0000

In this post we revisit the revision of the Unreasonable Effectiveness of Data in the hope that it empowers the deep learning community to keep revising old ideas.

Cloud-Scale Text Classification with Convolutional Neural Networks

Ilia Karmanov and Miguel González-Fierro — Sun, 03 Mar 2019 00:00:00 +0000

Natural Language Processing (NLP) is one of the fields in which deep learning has made significant progress. Specifically, the area of text classification, where the objective is to categorize documents, paragraphs or individual sentences into classes. In this post, we review an old article we published in 2017: Cloud-Scale Text Classification with Convolutional Neural Networks on Microsoft Azure and share the code we used to create the models.

A Gentle Explanation of Dimensionality Reduction with t-SNE

Miguel González-Fierro — Wed, 31 Oct 2018 00:00:00 +0000

t-SNE is one of the most popular dimensionality reduction algorithms, it allows to represent a high-dimensional dataset in a 2 or 3-dimensional space, making it easy to visualize high-dimensional data points. In this post, we explain the algorithm and make a light overview of the math. Together with this post, we wrote a jupyter notebook where we show an example of t-SNE using sklearn and CUDA implementations.

Evidence-Based Software Design

Nikhil Joglekar and Miguel González-Fierro — Thu, 11 Oct 2018 00:00:00 +0000

Software design can be challenging. The design decisions we take when creating a technical product influence its customer adoption and the product success. Evidence-based design is a methodology to make decisions based on facts that raises the chances of achieving successful products and improves the efficiency of technical teams.

Python Pro Tips: Understanding Explicit is Better than Implicit

Miguel González-Fierro — Sun, 16 Sep 2018 00:00:00 +0000

One of the main driving forces behind Python is creating simple and readable code, which turns out to be a very difficult task. In this post, we analyze the second statement of the Zen of Python: explicit is better than implicit. We clarify its meaning and illustrate some examples on how to write Python code in a "pythonic" way.

Real-Time Fraud Detection

Miguel González-Fierro — Wed, 01 Aug 2018 00:00:00 +0000

Fraud detection is one of the top priorities for banks and financial institutions, which can be addressed using machine learning. In this post, and in the accompanying code repository, we show how to build a real-time fraud detection system using a boosted tree algorithm and websockets. We also show how to visualize the fraudulent transactions in a map.

A Beginner's Guide to Python Testing

Miguel González-Fierro — Tue, 24 Jul 2018 00:00:00 +0000

Test development is key for most software projects. In this post, we are going to discuss 4 different tests: unit tests, smoke tests, integration tests and utility tests. In simple words, unit tests make sure that each class or function behaves as it should, smoke tests make sure that the system works, integration tests make sure that the program results are acceptable and utility tests give an example on how to use a class or function. We will show how to work with these tests in Python.

Demystifying WebSockets for Real-Time Web Communication

Miguel González-Fierro — Thu, 12 Jul 2018 00:00:00 +0000

WebSocket is a protocol for bidirectional communication (client-server and server-client), which is part of the HTML 5 API. In simple terms, it enables the interaction between a web client and a web server with lower overheads, facilitating data transfer in real-time. In this post, we will explain what are WebSockets, what is its relationship with older technologies like AJAX and REST APIs and we will provide some resources to help you implement this technology.

Top Mistakes and Learnings from my Startup: Postmortem Samsamia

Miguel González-Fierro — Fri, 18 May 2018 00:00:00 +0000

Samsamia Technologies was a new communication channel between fashion brands and customers. We developed a search engine for fashion products that allows a smartphone user to find the piece of clothing he or she desires just by taking a picture and buy it instantaneously. In this postmortem, I explain how I built the company, what were the mistakes I made that led to its collapse and what are the learnings I got from it.

10 Ethical Issues of Artificial Intelligence and Robotics

Miguel González-Fierro — Sun, 01 Apr 2018 00:00:00 +0000

AI is one of the technologies that could revolutionize the world, some people call it the electricity of the twenty first century. Researchers and professionals need to be aware of the ethical and social implications this technology poses. We are responsible for making robots and AI systems that help and empower humanity.

Stock Price Prediction with LSTMs

Miguel González-Fierro — Tue, 20 Mar 2018 00:00:00 +0000

Do you want to make millions in the stock market using Deep Learning? This post will not answer that question, but it will show how you can use an LSTM to predict stock prices with Keras, which is cool, right?

Introduction to Recommendation Systems with Deep Autoencoders

Miguel González-Fierro — Sun, 28 Jan 2018 00:00:00 +0000

A recommendation system seeks to understand the user preferences with the objective of recommending items. In this post, we provide an overview of recommendation system techniques and explain how to use a deep autoencoder to create a recommendation system.

A Gentle Introduction to Transfer Learning for Image Classification

Miguel González-Fierro — Mon, 18 Dec 2017 00:00:00 +0000

Transfer Learning is expected to be the next driver of Machine Learning commercial success in Image Classification. Reutilizing deep networks is impacting both research and industry. In this post, we explain what is Transfer Learning and when to use its different strategies. The post is accompanied by code in PyTorch performing experiments in several datasets.

Deep Learning for Entrepreneurs

Miguel González-Fierro — Sat, 30 Sep 2017 00:00:00 +0000

AI is considered the biggest business opportunity in the new economy, that is expected to generate $15.7 trillion by 2030, according to PwC. Independently of the accuracy of this prediction (probably PwC didn't use machine learning to predict it), the opportunity is huge. In this post, I will discuss some business problems that can be solved with deep learning and how to monetize them.

10 Reasons Why You Should Be Using Git in Software Projects

Miguel González-Fierro — Sun, 25 Jun 2017 00:00:00 +0000

Git is a version control software that helps developers to easily and efficiently contribute to software projects. It is the engine that runs on GitHub, the top open-source software development platform. In this post, we analyze 10 reasons why you should be using it.

Laplace's Demon and the Scientific Method

Miguel González-Fierro — Sun, 28 May 2017 00:00:00 +0000

In 1814, Laplace described an entity that would be able to calculate any future event if it knew the precise location and speed of every atom in the Universe, based on the principle of cause and effect. This will be known as Laplace's Demon. At that time, scientists believed that they could solve all the mysteries of the Universe. Decades later, with Heisenberg's uncertainty principle and other advances, that dream became to an end.

How to deploy an Image Classification API based on Deep Learning

Ilia Karmanov and Miguel González-Fierro — Mon, 17 Apr 2017 00:00:00 +0000

Deep learning is notable for surpassing human level performance in image classification. In this post we will explain how to use a pretrained Convolutional Neural Network to classify images and how to deploy this classifier to the cloud through an API.

The Sorcerer's Apprentice

Miguel González-Fierro — Sat, 04 Mar 2017 00:00:00 +0000

The Sorcerer's Apprentice was a tale written by Goethe in 1797, popularized by Disney in the 1940 animated film Fantasia. In it, a young sorcerer wants to seize the power of his old master but realizes that he lacks the knowledge to control it. The story teaches us a lesson about the perils of a student thinking he has knowledge when he doesn't, however, when does an apprentice become a master? In this post we will address that question.

A Gentle Introduction to Text Classification and Sentiment Analysis

Miguel González-Fierro — Tue, 31 Jan 2017 00:00:00 +0000

The area of text classification has attracted a lot of interest from both the machine learning research community and the industry. One popular application of text classification is sentiment analysis, whose objective is to guess the positive or negative attitude of a user towards a topic given a sentence. In this post I will give an overview of how to apply machine learning techniques to text classification and sentiment analysis.

Learnings from AI & Machine Learning Conference NIPS 2016

Andreas Argyriou, Miguel González-Fierro — Thu, 22 Dec 2016 00:00:00 +0000

NIPS conference has become one of the most important events for machine learning research. With a record participation of more than 6000 attendees this year, the field consolidates its importance in both academia and industry. In this post we will discuss the highlights of this year's NIPS conference.

How to Develop a Data Science Project using the Lean Startup Method

Miguel González-Fierro — Sun, 27 Nov 2016 00:00:00 +0000

Lean Startup has been a breakthrough during the last years in the entrepreneurial landscape. But this movement is not only a methodology that can be used to create successful businesses, it can also be applied to other domains like Data Science. In this post, I will discuss how to apply the Lean Startup method to a Data Science project. As an example, I created a project that visualizes all football matches that took place in the UEFA Champions League since 1955.

A Gentle Introduction to Convolutional Neural Networks

Miguel González-Fierro — Fri, 30 Sep 2016 00:00:00 +0000

Convolutional Neural Networks (CNN) are one of the key components in the success of Deep Learning and the new Artificial Intelligence revolution. They are specially advantageous in tasks such as object detection, scene understanding and, recently, natural language processing. In this post I will explain what are CNN, what is the intuition behind them and provide an example of its performance in character recognition.

When to use Deep Learning in a Data Science Problem

Miguel González-Fierro — Wed, 10 Aug 2016 00:00:00 +0000

Deep Learning has been around since 2006 and has produced some of most exciting advances in Machine Learning. However, it is not widely used in the industry by Data Scientists yet. In this post we will discuss this business opportunity and when Deep Learning can be used in a Data Science problem.

How human intelligence works and why that makes us racists

Miguel González-Fierro — Sat, 25 Jun 2016 00:00:00 +0000

Have you ever stopped to think how people can be so stupid? Lately, it looks like the world is going crazy. More and more people are supporting radical views. But this is not new, our history is full of atrocities that can be summarized in one simple reason: hatred of the different. The bad news is that our intelligence is optimized to detect differences. The bigger the difference, the higher the effort our brain makes. And many people don't like efforts.

A Gentle Introduction to the Basics of Machine Learning

Miguel González-Fierro — Sun, 05 Jun 2016 00:00:00 +0000

Machine Learning is one of the most important technologies nowadays. It is the key element that allows a computer to learn. It is in fact a subfield of Artificial Intelligence (AI). Right now AI is affecting all industries, from finance to medicine, from aerospace to e-commerce. All technological giants such as Microsoft, Google, Amazon, etc. are investing large amounts of money in the area. This post intends to explain the main concepts of Machine Learning to the general public.

Lessons learned about marketing while building a startup

Miguel González-Fierro — Fri, 15 Apr 2016 00:00:00 +0000

Everything is marketing in a business. Your web page is marketing; your deals are marketing; your conferences are marketing and your tweets are marketing. Many tech startups don't pay attention to it because they are too busy programming the product. However, if you don't communicate, you don't sell. A great marketer is able to frame a story into the world view of the customer. At the end of the day, to do marketing is just to tell a great story.

The growth of Artificial Intelligence in the new economy

Miguel González-Fierro — Sun, 06 Mar 2016 00:00:00 +0000

There is an increasing interest for Artificial Intelligence (AI). AI is no longer something you can see on science fiction movies, it's real. It's affecting markets like finance, marketing, e-commerce and many other industries. Big technical corporations such as Google, Facebook or Microsoft are investing millions of dollars on AI and they are hiring some of the most important scientists on the field. The 21st century is the time of AI.

Is it Possible for a Robot to Have Emotions?

Miguel González-Fierro — Tue, 09 Feb 2016 00:00:00 +0000

A robot is a machine whose main purpose is to help us. In order to accomplish that, a robot needs to have a hight level of intelligence, it has to be skilful enough to be able to interact with us and it has to be autonomous. Artificial Intelligence is a field that has made amazing advances since the appearance of Deep Learning. However, is it possible for a robot to have real emotions? And maybe more important, should a robot have emotions?

Why math is so important in everyone's life

Miguel González-Fierro — Sat, 23 Jan 2016 00:00:00 +0000

Most people hate math. However we are force to study mathematics since we are very young. There is a reason for that. Math is the base of the scientific thought and the language of science. It allows to express the behavior of our environment in a logical manner, independently of what our senses perceives or what our mind desires.

The science behind the new Star Wars robot: BB-8

Alejandro Malmierca and Miguel González-Fierro — Thu, 07 Jan 2016 00:00:00 +0000

Everybody is excited about the new Star Wars movie: The Force Awakens. One of the most exciting new characters is the robot BB-8. This new character has enchanted everyone with his modern design and his new features. If you know it, you probably love it, if you don’t, you will. In this article we will introduce the new Star Wars robot, how it works and why J.J. Abrams added this character to the new saga.

A blog with the appearance of a scientific paper in Latex

Miguel González-Fierro — Sat, 28 Nov 2015 00:00:00 +0000

This blog intends to imitate the design of a scientific paper written in LaTeX. The idea is to not only use the beautiful LaTeX design and typography but also to organize each post like a scientific research paper. In this post, we will explain the basics of how to write a scientific paper and how to use the css classes to make it look like a LaTeX document.

The Spanish startup ecosystem will be more technological

Miguel González-Fierro — Tue, 19 May 2015 00:00:00 +0000

We are living a boost of startups in Spain. The startup ecosystem have change significantly in recent years, probably most experts would say in a good way. There are more and more money for investments and better projects to invest. Spain has talent and we are taking benefit from it.

What color is this dress? The Dressgate explained

Miguel González-Fierro — Sat, 28 Feb 2015 00:00:00 +0000

Is the dress white and gold? Is it black and blue? How is it possible that many people see one combination and some people the other combination. The answer is that our brain tricks us to adapt our reality.

A humanoid robot Ph.D. thesis explained to non scientists

Miguel González-Fierro, Thrishantha Nanayakkara and Carlos Balaguer — Tue, 07 Oct 2014 00:00:00 +0000

It is sometimes difficult for us as scientist to explain our research to the general public. The aim of this post is to throw some light on what I did in my Ph.D. thesis in a easy to understand language. The purpose of the research was to make a small humanoid robot perform a series of complex postural tasks using a machine learning technique called learning from demonstration.

What is scrum and how to apply it to a startup

Miguel González-Fierro — Thu, 18 Sep 2014 00:00:00 +0000

Scrum is a method of agile development that can help any development team to ship a final product in a small period of time. It is widely used in startups and software companies around the world

What makes the difference is not the experience, but its derivative

Miguel González-Fierro — Sat, 17 May 2014 00:00:00 +0000

When somebody is looking for a job, the first question the employer asks the candidate is how many years of experience do you have. The candidate's salary is usually calculated in relation to the number of years of experience. Furthermore, we are used to assume that the more experience somebody has, the more suitable he or she is for the job. We take that for granted. However, is really the experience what makes the difference?

Dresscovery, the visual search app is working with Google Glass

Miguel González-Fierro — Sat, 29 Mar 2014 00:00:00 +0000

At the beginning of this year Dresscovery was released. The app, that is available in iPhone and Android, allows to identify a purse using a picture of it. In a new line of research, our team is working on an identification system that can be implemented in Google Glass. The new application will allow to obtain information of a garment and buy it online instantaneously.

Dresscovery app is out

Miguel González-Fierro — Mon, 16 Dec 2013 00:00:00 +0000

Dresscovery is an smartphone app that allows to identify a garment instantaneously using a picture. The app finds the most similar products that are available for sale right now among hundreds of different brands. Dresscovery is an app aimed to be the future driver of online retail growth through the connection of the textile brands online retail business with the real world. We are the Shazam of Fashion.

The best image recognition system for fashion

Miguel González-Fierro — Thu, 05 Dec 2013 00:00:00 +0000

The future of internet will rely on the development and integration of visual search engines. Google will make room for a search engine capable of understanding what is happening in an image. The visual search algorithm we developed at Samsamia is able to recognize an image and compare it with a big product database to obtain associated information.

Samsamia is about AI, pattern recognition and machine learning

Miguel González-Fierro — Sun, 21 Jul 2013 00:00:00 +0000

Samsamia Technologies S.L. is a spin-off of Robotics Lab at Universidad Carlos III of Madrid, one of the most advanced research group of robotics in Spain. Its fields of expertise cover computer vision, machine learning, Big Data and artificial intelligence. The company mission is to transfer high quality scientific knowledge to the market through solutions related to robotics and technology.

Samsamia at BBVA OpenTalent event in Buenos Aires

Miguel González-Fierro — Sun, 30 Jun 2013 00:00:00 +0000

We were finalist of BBVA OpenTalent startup contest, among more than 900 startups, which is the most important startup contest in Spain. The bank, which is the one of the biggest financial entities in Europe, wants to promote entrepreneurship by giving 200.000€ in prizes. We are delighted for being among the finalists. The experience was awesome and the friends we met there unforgettable.

Demoday of 2020 for 2020 startup Madrid

Miguel González-Fierro — Sat, 15 Jun 2013 00:00:00 +0000

On February 2013 Samsamia were selected as one of the twelve winner startups for the acceleration program 2020 for 2020 Startup Madrid. The program is led by a company specialised in startup acceleration, Cink Emprende, with the collaboration of the Economic Development Agency "Madrid Emprende" and a number of experts in representation of Madrid 2020, Madrid Emprende, and Bid sponsors.