Today, in our final episode of Crash Course AI, we're going to look towards the future. We've spent much of this series explaining how and why we don't have the Artificial General Intelligence (or AGI) that we see in the movies like...

In this video, the concept of adjusted gross income (AGI) is explained. AGI is the income that individuals are taxed on, which is calculated by combining all applicable income sources and subtracting deductions. The video also discusses...

Switching Locations: Understanding Frenkel Defects

In the event that an ion is absent from its lattice site, resulting in a vacancy or a hole in that location, and it occupies an interstitial site, the compound will be able to...

My Unfiltered Opinions on AI in 2023

There are a lot of definitions of artificial intelligence. Which one do we actually mean?

Turns out we might have a lot to learn from worm brains when it comes to autonomous driving. Who knew?

Can we make neural networks using light? From spatial light modulators to phase-change materials, we're diving into optical neural networks.

Is OpenAI's GPT-3 Overhyped? | GPT-3, Six Months Later

ChatGPT can help you write an essay, plan a vacation, and learn quantum theory — next stop: world domination? Maybe...maybe not. But teachers are right to be worried that this might spell the end of homework and journalists might also...

Is Sara Hooker concerned about the short term implications of ML models, AI in general or the risks of AGI (Artificial General Intelligence) and the skynet idea and it having drastic consequences for human survival?

Machine Learning...

Learn of fundamental architectural constraints and the patterns that most models find important and how fundamentally different they are from the patterns a human would expect to be important.

Machine Learning Systems Design with...

Does Sara Hooker think effective tools should look primarily at the data or the model itself?<br/>
Machine Learning Systems Design with Sara Hooker, Part 6

Learn how Sara Hooker balances pragmatic considerations and understanding the algorithms we use. How has she seen interpretability methods adapted and what work has she done with interpretability?

Machine Learning Systems Design...

Sara Hooker elaborates on the methods applied to saliency, interpretability methods in order to find the flaws in them.<br/>
Machine Learning Systems Design with Sara Hooker, Part 2

Learn how we should look less at the data and make changes to the model themselves on a per bias basis.<br/>
Machine Learning Systems Design with Sara Hooker, Part 5

Are there more semantic reasons behind targeting compactness? Does Sara Hooker believe that deep neural networks are a solution in the long term?<br/>
Machine Learning Systems Design with Sara Hooker, Part 7

Sara Hooker explains why algorithmic bias is not a data collection problem and what are the implicit biases of the algorithms themselves.<br/>
Machine Learning Systems Design with Sara Hooker, Part 4

Sara Hooker gives her opinion about other techniques like probabilistic models or explicit knowledge based models, and whether she thinks there will be a resurgence and if it will be valuable in the long term.

Machine Learning...

In this video, the concept of adjusted gross income (AGI) is explained. AGI is the income that individuals are taxed on, which is calculated by combining all applicable income sources and subtracting deductions. The video also discusses...