Artificial Intelligence in Astrophysics: with Deep Chatterjee

You’re a landscape photographer and you’re looking to spot a very specific type of tree. Here’s the problem; it’s a foggy, rainy and a humid day, and, on top of that, it’s hot so my camera lens is steaming up. Perhaps though the lens of your camera you can only see the outline of anContinue reading “Artificial Intelligence in Astrophysics: with Deep Chatterjee”

Using AI to Predict Extreme Weather Events: Generalisation vs Specialisation with Fabio Porto

Of all the research agenda’s dominating the intersections of scientific research, business and technology, gathering useful weather and climate data is amongst the top of them. This past year alone has hosted big news such as the UK Met Office’s procurement of the most powerful supercomputer dedicated to weather and climate forecasting. But, at riskContinue reading “Using AI to Predict Extreme Weather Events: Generalisation vs Specialisation with Fabio Porto”

Outdated Leadership: The Cultural Issues Behind Africa’s Growth Limitations

I am a strong believer, that they key to healthily and genuinely engaging with the subject of diversity is to more fully understand the context and circumstances that have shaped the individual(s). Rather than dismissing difference as something that needn’t be discussed because “it doesn’t matter where someone comes from”, we should look to firstContinue reading “Outdated Leadership: The Cultural Issues Behind Africa’s Growth Limitations”

Lessons from taking a co-design approach to High Performance Computing, in conversation with Gaurav Kaul

in-flight entertainment So here is the landmark scientific paper published in Nature, that explains how Google-backed artificial intelligence company DeepMind trained an artificial intelligence model to control nuclear fusion; a problem that the Swiss Plasma Centre have been simulating for more than 20 years. It may seem pretty mental that a company that has historicallyContinue reading “Lessons from taking a co-design approach to High Performance Computing, in conversation with Gaurav Kaul”

Understanding trained models: The backbone of the business of intelligence

Before we learn to stop in different situations that involve a red traffic light, we have to train ourselves to know 3 fundamental things- 1. What does red look like? 2. What does a traffic light look like? 3. What do I do when I see red on a traffic light? This is of courseContinue reading “Understanding trained models: The backbone of the business of intelligence”

“Computation does not require energy, only the movement of data” – In Conversation with Alexandra Pinto, CEO, Hoursec

Energy efficiency is all anyone talks about these days: rightfully so. As we squeeze as much juice as we can extract from this planet, to thrive on our survival, we must then find sustainable solutions that can satiate a global regime based on growth. Now, to begin this article I should explain the titled quoteContinue reading ““Computation does not require energy, only the movement of data” – In Conversation with Alexandra Pinto, CEO, Hoursec”

Realising the vision for enabling adaptive learning at the edge: In conversation with Gordon Wilson, CEO, Rain Neuromorphics

Among one of the bottlenecks to enabling ever-increasing intelligence at the edge of the network, is the cost of enabling machine-learning capabilities. For a number of reasons (ranging from size of the algorithmic learning models, software, the available hardware, the network bandwidth transmitting data between cloud and edge, and training challenges at the edge), enablingContinue reading “Realising the vision for enabling adaptive learning at the edge: In conversation with Gordon Wilson, CEO, Rain Neuromorphics”

Intelligence at the Edge Explained: In Conversation with Altaf Khan, CEO, Infxl

In the foundational conversation kicking off the “Intelligence at the Edge” series, I sat down with Chief Executive Officer of Infxl, Altaf Khan, whose company develops hardware-agnostic, ultra-low-power, ultra-low-latency machine learning (ML) solutions for the edge. What this means is he’s achieved a way of mechanically reaching a conclusion from a shed load of digital information aContinue reading “Intelligence at the Edge Explained: In Conversation with Altaf Khan, CEO, Infxl”