Mensing.AI


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

A Brief History of AI: A Timeline πŸ—“

1943: groundwork for artificial neural networks laid in a paper by Warren Sturgis McCulloch and Walter Pitts, “A Logical Calculus of the Ideas Immanent in Nervous Activity“. πŸ“ƒ [1] 1950: Alan Turing publishes the Computing Machinery and Intelligent paper which, amongst other things, establishes the Turing Test πŸ“ [6] 1951: Marvin Minsky and Dean Edmonds design the first neural net … Read More


Lazy Faire πŸ‡ΊπŸ‡ΈπŸ‡¨πŸ‡³

At the US government’s current rate of uninvolvement in the AI sector, China will overtake it in its quest for AI overlord status by the end of the year. At least when it comes to spending, the rest might not be far behind though. πŸ’° One of the recommendations from a subcommittee is to expedite the approval of the OPEN … Read More


That’s Instructor AI, Cadet

The Air Force is embracing AI to mix up their training process, and could be inventing the future of all education while they’re at it. πŸŽ“ The overall objective is to move away from an β€œindustrial age” training model with pre-set timetables and instruction plans to one that adapts to each airman’s learning pace. Hmmmmm….what else follows an industrial model? … Read More


Bolt On a Watchdog

IBM has launched a tool as part of their cloud platform that detects bias and adds a dash of explainability to AI models. ☁️ It looks like this might be the new competition between service providers, and that’s not a bad thing. A huge upside of AI is that they can make decisions free of the bias that infects humanity, … Read More


Alibaba Wants Their Own Chip

There are two undeniable trends these days: major tech players want their own silicon and the new class of uber-rich want to own classy publications. πŸ—žοΈ I’m more interested in the first trend (though the second could have interesting implications in this era of doom for publishers). Alibaba is the newest tech giant to announce they are making their own … Read More


Joey Stigz on AI πŸ€–

If you’re interested in the societal and economic implications of AI, this article is worth a read. A few points that stuck out to me: πŸ‘‡ AI can be hugely beneficial, but right now it’s not trending in that direction Tech companies shouldn’t be in charge of regulating themselves, which means decision makers need to educate themselves People are starting … Read More


DeepFakes Get More Realistic πŸ˜–

Remember back when I said I was terrified about deepfakes? Well, it’s not getting any better. 😟 Apparently researchers at Carnegie Mellon and Facebook’s Reality Lab decided there is nothing to worry about and the method for making them needed to be better. So they give us Recycle-GAN. ♻️ We introduce a data-driven approach for unsupervised video retargeting that translates … Read More


Facebook Can Read Photos πŸ–ΌοΈ

Big Blue has rolled out a tool called Rosetta that can scan photos for text, extract the text it finds, and then “understand” that text. πŸ‘οΈβ€πŸ—¨οΈ This is huge as it means the platform can now increase accessibility by reading photos, it can pull out information from photos of menus and street signs, and it can monitor memes and images … Read More


ELMo Really Does Know His Words πŸ‘Ή

I’m super interested in the world of NLP (natural language processing), so the news that performance increased dramatically with ELMo piqued my interest. πŸ’‘ The biggest benefit in my eyes is that this method doesn’t require labeled data, which means the world of written word is our oyster. 🐚 Yeah, yeah, word embeddings don’t require labeled data either. ELMo can … Read More


Facebook Spreads the Chips Around πŸ’«

It appears that Facebook is forgoing developing their own chips in favor of partnering with multiple top chip makers to add in their Glow machine learning accelerator. 🏎 It’ll be interesting to compare this approach to the other tech players looking to make their own. But this play makes sense. It follows Big Blue’s approach with prior software, doesn’t split … Read More