Using Deep Learning to build a cheaper, vision prosthetic arm.

There are about 2 million amputees in the U.S. alone, and that number is expected to nearly double to 3.6 million by 2050. However, current prosthetics aren’t accurate with their grasp and grip control. For cheaper prosthetics, grasp (ability to interact with real-world objects) must be manually controlled by the user which requires a lot of training and still often not very accurate.

Although there are more automated ways to control grasp, these prosthetics can end up being $100,000+, making them difficult to afford by most users.

To solve this problem, I’ve been working alongside mentors from on building a cheaper, more automated and more accurate grasping program for a robotic prosthetic arm using deep learning. …

Using Machine Learning to reduce testing time of energy storage systems by 96%.

Our story starts as we were reading Bill Gates Annual Letter where he mentions: “If you wanted to store enough electricity to run everything in your house for a week, you would need a huge battery and it would triple your electric bill.”

When we think energy storage, we think batteries but based on what Bill Gates is saying batteries will not be not adequate to meet energy demands and we need new, cheap ways to expand energy storage across our globe.

We’ve all heard of needing to move towards renewables. …

Transfer Learning for Robotics with Generative Adversarial Networks

As a kid, I remember watching Star Wars and thinking “damn, those robots are crazy-sophisticated”. They were smart and able to walk in various different environments. Contrary to most people, this didn’t scare me but instead got me really excited … but I was shocked to know that machines aren’t actually that intelligent in real life (yet).

I got interested in understanding how robots work on a fundamental level and how we can advance some of the complex operations today. One of the questions I got curious about was: how do robots know exactly where to go and where to pick up things?

Inverse Kinematics is essentially how robots calculate exactly how they can move their joints to reach a desired target.

Here’s how I solved it

One of the biggest problems in healthcare is the rising cost of patient readmission. This is when a hospital who recently discharged a patient gets penalized for having that patient return to a hospital within 30 days. This often costs hospitals a total of $528 million.

American hospitals alone have spent over $41 billion on diabetic patients who got readmitted within 30 days of discharge 🛏️. …

If we think of all of the big innovations in our world like the internet or the lightbulb, they all started with one question “How can we make things better?”. We didn’t settle for the status quo. We wanted to break the norms or at least understand them.

There’s so much upside to asking questions yet most of us aren’t using this superpower in the right way.

Recently, I started learning about the French philosopher and scientist René Descartes(1596–1650) who doubts in his work “Meditations” about everything because he wants to know the underlying truth. …

Start by asking yourself these few questions:

  • Have you ever done something or reacted in a way that didn’t make sense?
  • Have you ever ever felt like there's a dark side to you?
  • Have you ever felt disconnected from your mind, body and soul?

If you’ve answered yes to any of the above questions then don’t worry— this is pretty normal. In fact, it’s something that psychology can explain.

This can be explained by Jung’s psychology.

This is the only psychology that seeks the meaning of an individual’s life in his or her relationship to the problem of the opposites — good and evil, light and dark, love and hate. …

One of the philosophers who has influenced my thinking the most is Marcus Aurelius. He was known as one of the last “good emperors” of Rome — who genuinely cared for the well-being of his citizens at a time of chaos everywhere.

How can we apply his stoic philosophy to our everyday life? Below are some insights & action items on applying these to your life. …

Creative Destruction Lab (CDL) is a program for emerging science and technology-based companies to grow like crazy by 1. getting mentorship, 2. getting capital. The program has an objectives-based mentoring process with the goal of maximizing equity value creation.

I had the awesome opportunity as part of the High School Girls Program to sit in on the first session of the 2019–20 cohort in Toronto. This meant a chance to sit in on important meetings, meeting industry leaders, startups and gaining insight into the fast-paced entrepreneurship world.

The other day I was stuck in really terrible traffic on my way home. No one likes traffic, especially when it’s in downtown Toronto.

The second this driver enters our lane, he gets cut in line by another car… he leans on the horn, punches the steering wheel, and shouts at the other driver. Then the other drivers start honking back at him and before you know we have a whole orchestra situation going on. …


Alishba Imran

I’m a passionate 16-year-old on a journey to solve the world’s most important problems using emerging tech like Machine Learning and Blockchain.

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