Longreads from the Rocketship

In March 2023, the sudden collapse of Silicon Valley Bank pushed the startup world into a crisis. Running a business is always fraught with uncertainty, but that event was even more terrifying than business as usual. Many founders didn’t know if they would have the funds needed for payroll the following week.

Fortunately, like many things in life that look bad, the funding situation was resolved in just a few days. The government intervened and ensured that most startups would have access to their cash.

While it may be tempting to dismiss the SVB collapse as an extreme event, the truth is, running a business is always fraught with uncertainty. You have to expect that extreme events are going to happen, even when you least expect them.

As a practitioner in algorithmic trading over the last five years, I’ve gained a lot of relevant experience that could be helpful to other participants in the field. That’s why I would like to publish a series of articles describing my experience, problems I’ve encountered during my journey, and the ways in which I solved them.

Let me start by describing the fundamental concepts of trading, and we will dive into more technical aspects in the articles that follow.

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Countless news headlines these days report that #AI is revolutionizing just about every industry there is. To a large extent, this is true, but AI’s effects vary from industry to industry.

Healthcare is one domain for which AI has many applications. Some healthcare tasks that AI is currently revolutionizing include:

Enhancing Diagnosis and Medical Imaging

Right now, AI is mostly augmenting, rather than replacing, healthcare professionals. This makes sense for a life-and-death field like healthcare. You would probably prefer your doctor use AI to make better decisions than to have AI outright replace your doctor.