Lifebit made it to Forbes’ Top 15 Machine Learning Companies to Watch in Europe

It was recently announced by Forbes, that Lifebit was part of the Top 15 Machine Learning Companies to Watch in Europe! 🎉 Let’s take a look and see what this means.

Why Machine Learning?

To start off, what is Machine Learning and why has it become such a buzzword nowadays?

Machine Learning (ML) is a branch of Artificial Intelligence (AI), and its premise is that computational systems can learn from data, identify patterns and generate insights with minimal-to-no human intervention.

Machine Learning is not actually a new concept. It started to take shape in the 17th century when people needed to start making sense of various kinds of data to generate actionable insights. Specifically, in 1642, Blaise Pascale devised a system to automate data processing, the mechanical adder. This (partially) automated system, allowed tax supervisors to perform calculations in a more efficient manner.

Screen Shot 2018-12-06 at 12.58.23.pngThe History of Machine Learning. Source

In more recent memory, Alan Turing, the famous English pioneer of computational science and Artificial Intelligence, introduced the Turing test. This was a method to essentially test whether a computer had real intelligence, by fooling a human into thinking it was a real human.  

Screen Shot 2018-12-06 at 12.59.31The Turing Test. Source

In today’s world, Machine Learning silently permeates our everyday lives. For instance, movie and buying suggestions on Netflix and Amazon – ML algorithms learning from your past activity. Google’s self-driving cars – ML algorithms which allow instant adaptation to changing road conditions, while at the same time learning from new situations. Suspicious activity in your bank account – Anomaly detection ML models. Human-like robots like Sophia from Hanson Robotics – ML with a robotic interface. Machine Learning is everywhere.

How Machine Learning is implemented at Lifebit

At Lifebit, we apply Machine Learning and Artificial Intelligence methods to facilitate discovery from big data and lower costs through optimal cloud configurations.

Machine Learning in Deploit

Screen Shot 2018-12-06 at 13.02.03.pngDeploit – Intelligent Compute Management for Data Analysis

Users of Deploit have come to appreciate the large cost savings the platform delivers. The secret sauce? Rosalind, our intelligent recommendation engine. Rosalind uses advanced analytics underpinned by predictive algorithms to recommend the optimal cloud configuration for Deploit users, by interpolating on past cloud execution data.

Try Deploit today!

 

Machine Learning in our Distributed AI Engine

Screen Shot 2018-12-06 at 13.03.28.pngThe Lifebit AI Engine

Lifebit has begun its alpha phase on its in-house AI Engine, bringing together an unprecedented ensemble of the latest breakthroughs in deep learning in biotech to the fingertips of clients. In the limelight are structure prediction models leveraging the brawn of advanced recurrent neural networks, RNA sequence models that uncover latent transcriptional processes, and biomedical image analysis tools harnessing the cutting edge of convolutional networks.

Machine Learning in variant calling

Screen Shot 2018-12-06 at 13.04.37.pngDeepVariant Workflow overview. Source

Lifebit has pioneered making Machine Learning actionable in routine bioinformatics pipelines, by being the first open platform to optimise and deliver Google’s DeepVariant variant caller to a broader audience. DeepVariant is a variant caller that calls genetic variants from next-generation DNA sequencing data. As one can glance by reading the proceedings of any bioinformatics conference worth its weight in salt, this trend on ever-increasing reliance on deep learning is only set to accelerate.

Stay tuned for more innovative ways Lifebit is harnessing the power of Machine Learning! 

 

Original Forbes article published on November 27th, 2018.


We are still only beginning and we have big plans for the future! Don’t miss a thing and let us keep you updated on our upcoming posts by signing up to our Newsletter or by visiting us on TwitterLinkedIn, Facebook, & Instagram.

We’re also actively looking for great engineers and bioinformaticians who want to help us shape Lifebit – if this is something you’d be interested in, we’d love to hear from you: hello@lifebit.ai.

Claire-Alix Zapata Garin, PhD

Scientific and Technical Content Manager @Lifebitai

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