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Dr. Alessandra Tosi

Dr. Alessandra Tosi

Alessandra is a senior scientist and product owner with a PhD in probabilistic machine learning and is on a mission to push the boundaries of AI through the integration of software solutions and original research. Outside of work, she's always looking for the next best restaurant to try out.

Recent posts by Dr. Alessandra Tosi

7 min read

Green AI: The Environmental Impact and Carbon Cost of Innovation

By Dr. Alessandra Tosi on Mar 15, 2021 9:34:10 AM

AI has the potential to help us tackle the problems associated with climate change and the warming of our Earth. The closer we get to the precipice, the greater the urgency. This has helped fuel tremendous growth in AI projects throughout government and the public sector, where AI is being used to make more accurate climate change predictions or to intelligently power the infrastructure that could support lower emissions on a global scale. 

Amidst all this enthusiasm, the one thing often being left out of the conversation is the carbon cost of these compute-intensive solutions. At best, the adoption of AI might be slowed down because people hadn't adequately considered the cost (financial or environmental) of the solution required. At worst, it could accelerate the warming of our planet. 

This is why it is so important to develop a Green AI technology: a technology that takes into account energy-efficiency as an important evaluation metric.

Topics: Continuous Meta-Learning Green AI High-stakes AI
5 min read

Bayesian Optimization can help Quantum Computing become a reality

By Dr. Alessandra Tosi on Jan 8, 2019 9:21:00 AM

Quantum computers have the potential to be exponentially faster than traditional computers, revolutionising the way we currently work. While we are still years away from general-purpose Quantum Computing, Bayesian Optimisation can help to stabilise quantum circuits for certain applications. This blog will summarise how Mind Foundry Optimise did just that.

Topics: Bayesian Continuous Meta-Learning High-stakes AI
3 min read

How active learning can train machine learning models with less data

By Dr. Alessandra Tosi on Oct 9, 2018 2:00:00 PM

Even with low cost widely available cloud computing, it can take significant time and compute power to train machine learning models on large data sets. This is expensive and is often at odds with the net-zero carbon goals of many organisations today. Throwing more data at a problem isn’t always the best answer, and by using AI that is responsible by design, we can reduce these problems while maintaining performance. Active learning is one of the methods we use at Mind Foundry to achieve this.

Topics: machine learning data science Continuous Meta-Learning
8 min read

Visualising Black Box Optimisation Problems in Machine Learning

By Dr. Alessandra Tosi on Oct 3, 2018 2:00:00 PM

Black box optimisation in machine learning is a pretty common scenario. More often than not, the process or model we are trying to optimise does not have an algebraic model that can be solved analytically.

Topics: Bayesian Explainable AI High-stakes AI











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