Learnings & Musings on AI, ML, Data Science & Python

Brain Chips 🧠πŸͺ

IBM is in on the AI chip game, but they’re doing it a bit differently. They’re recreating the brain in silicon, literally. 🧠 They’ve essentially recreated synapses in microelectronic form, something that has been historically very difficult. Why does this matter if GPUs and software are doing such a good job? πŸ‘‡ They found the system to be as accurate … Read More

Are We Blowing Bubbles? πŸ›

Are we in the midst of an AI bubble? πŸ€·β€β™‚οΈ The field is definitely hot like Hansel right now, but I don’t know if we’re in what I would consider a true bubble. For one, the cat is out of the bag and people everywhere are salivating over the potential. I think we’re too far along to hit a true … Read More

FedCoin πŸ’°

I’m an Econ major so my ears perk up at mention of the Federal Reserve. Cryptocurrencies have the same effect since I like tech. So this article was like catnip. 😸 The monetary policy possibilities of a potential FedCoin are really interesting, especially since traditional measures are not nearly as effective as economists would like to believe. I’ve long wondered … Read More

Quantum Leapfrog πŸš€

The US Congress doesn’t want to cede quantum computing superiority to China. πŸ‡ΊπŸ‡ΈπŸ’ͺ πŸ‡¨πŸ‡³ Two bills are in the works to place an emphasis on quantum research and development in the states, and could be the first foray in a new space race. AI is in a similar state and when you think about the potential of combining the two … Read More

Killer Robots? Probably Not πŸ’€

This article basically validates what I’ve been thinking, so no surprise I’m sharing it here. 🀘 Basically, if killer robots come to be, it’s our fault, not AI’s. Not that that is much reassurance, this seems like something we’d inflict on ourselves. πŸ€¦β€β™‚οΈπŸ€¦β€β™€οΈ Sensationalizing fear around killer robots and job destruction is a great way to drive clicks, and therefore … Read More

What’s Smarter, a Machine or an Octopus? πŸ™

Researchers in Germany used a mixture of machine learning and random forest decision trees to predict the winner of the 2018 World Cup. And the winner is….Germany! πŸ‡©πŸ‡ͺ Hey, wait a minute… πŸ€” Actually, Spain was the most likely winner, unless Germany makes it to the quarter finals, in which case they become the favorite. Bookmakers favor Brazil. πŸ‡ͺπŸ‡Έ πŸ‡§πŸ‡· … Read More

Forget About It ⏱️

This post is an interesting look at the importance of forgetting to humans and a few methods used to mimic strategic forgetting in AI. πŸ—‘οΈ I hadn’t given much thought to the fact that AI “memory” will function just like RAM, overwriting whenever needed or deemed necessary. But remembering things in a specific way plays an important role in human … Read More

What’s That Animal? πŸ˜πŸ¦πŸƒ

Snapshot Serengeti is investigating the use of deep learning image recognition to sift through their trove of 3.2 million wildlife pictures from various camera traps. This is an AI researcher/engineer’s dream data set, there is just so much. πŸ“Š So what can this model do? πŸ” Not only does the artificial intelligence system tell you which of 48 different species … Read More

Alexa, Update πŸ–²

Tech Fest season continues! Amazon announced some cool updates to Alexa via blog and conference appearance. 🎊 These updates will make interacting with Alexa feel more like interacting with a human. Not because she (it?) is getting and smarter necessarily, but because the interface is improving. Amazon is continuing to put the customer experience at the forefront, which is why … Read More

Generate an Adversary πŸ₯Š

This is a really great introduction to Generative Adversarial Networks (GANs) with great visuals. (and a tutorial if you want to get your hands dirty) πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» Why should you care about GANs? They are the driving force behind the crazy creative abilities of neural networks. They are also the building blocks of deepfakes in many cases. πŸ– What’s the 101 … Read More