Artificial Intelligence

Demo days at startup accelerators are a pretty big deal around here. These events aren’t just a chance to review the latest cohort of hopeful entrepreneurs — they also showcase the technology, products and services that will compete for VC and consumer attention over the next few years. You never know where a hit will come from, which is why these events capture our attention. … [Read more...] about Extra Crunch roundup: 500 Startups’ demo day, smart SaaS pricing and much more – TechCrunch

Every business out there present themselves to the whole world by actively engaging with people, businesses and other entities to get leads, and business associations.However, with the growth of the internet and social media it has become very cumbersome to keep up pace with the changing times and keep abreast with the stiff competitions out there.We, all think of automations … [Read more...] about The Perfect Tool For Social Media Management and Content Automation

AdSkate Inc is an ad tech firm based out of Pittsburgh, PA whose mission is to build AI and data driven tools that help brands and agencies of all sizes increase audience engagement throughout ad campaigns. To this end, we have developed a state-of-the-art self-service media analysis platform that helps clients both discover and vet prospective ad placements. Using this … [Read more...] about Implementing ad-tech for social awareness with the City of Pittsburgh’s PGHLab

A legal challenge was heard today in Europe’s Court of Justice in relation to a controversial EU-funded research project using artificial intelligence for facial ‘lie detection’ with the aim of speeding up immigration checks. The transparency lawsuit against the EU’s Research Executive Agency (REA), which oversees the bloc’s funding programs, was filed in March 2019 by Patrick … [Read more...] about ‘Orwellian’ AI lie detector project challenged in EU court – TechCrunch

CODEXCheck it out now. 🐎Photo by Harley-Davidson on UnsplashData science and AI are red-hot skills. There are around 100,000 open “machine learning” jobs on LinkedIn, and the average data scientist in the US earns a six-figure salary.That said, these are highly-competitive jobs, and many machine learning courses — such as Andrew Ng’s famous Machine Learning Coursera course — … [Read more...] about Free Data Science Training, One Month Only

Here’s an all too familiar doctor visit scenario: You arrive early to fill out a short-novel-length amount of paperwork. You’re ushered into an exam room, where a PA or Medical Assistant asks the reason for today’s visit and have there been any changes to your health or medications? Next, your doctor (or PA) walks into the exam room, sits at a computer — often with their back … [Read more...] about Can Artificial Intelligence Bring Human Care Back to Medicine?

— — — — — — — — — — — — — — — — — — — — — — — — — —— —A discussion on how to prepare for an interview to join a FANNG (Facebook, Amazon, Apple Netflix, Google) for a machine learning position. In addition to being able to talk about your knowledge of machine learning and the latest papers, the it also includes creating a resume with a story that reflects the values of each … [Read more...] about Akira’s ML news #Week 6, 2021

Introduction of demographic filtering, content-based filtering, and collaborative filtering in a practical wayImage by Thibault Penin on UnsplashIn this article, let’s discuss a project that articulates how the Machine Learning algorithm recommends what is the next movie that you might want to watch by using the Recommender System. This approach not only can be implemented for … [Read more...] about How Machine Learning Recommends Movies for You

Outstanding problem: Instead of training a student model to imitate just the class independent output probabilities of a teacher model, training to imitate the representations of the teacher model transfers more knowledge from the teacher model to a student model.Even though previous methods dealt with transferring representations of the teacher model, their loss functions are … [Read more...] about Knowledge Distillation Research Review 2020

Let’s take a look at the two main approaches to reducing dimensionality.Projection🧑‍🎨A 3D dataset lying close to a 2D subspaceIn most real-world problems, training instances are not spread out uniformly across all dimensions. Many features are almost constant, while others are highly correlated.🧑‍💻As a result, all training instances actually lie within a much lower-dimensional … [Read more...] about Dimensionality Reduction 🧙‍♂️