The technology that makes it possible, called semantic hearing, could pave the way for smarter hearing aids and earphones, allowing the wearer to filter out some sounds while boosting others. The system, which is still in prototype, works by connecting off-the-shelf noise-canceling headphones to a smartphone app. The microphones embedded in these headphones, which are used to cancel out noise, are repurposed to also detect the sounds in the world around the wearer. These sounds are then played back to a neural network, which is running on the smartphone; then certain sounds are boosted or suppressed in real time, depending on the user's preferences. It was developed by researchers from the University of Washington, who presented the research at the ACM Symposium on User Interface Software and Technology (UIST) last week. The team trained the network on thousands of audio samples from online data sets and sounds collected from various noisy environments.

I love learning and understanding data science concepts through videos. I simply do not have the time to pour through books and pages of text to understand different ideas and topics. Instead, I get a much better overview of concepts via videos and then pick and choose the topics I want to learn more about. The sheer quality and diversity of topics available on platforms like YouTube never ceases to amaze. I recently learned about the amazing XLNet framework for NLP from a video (which I have mentioned below for your consumption).

I arranged an AI hackathon at Aalto University in Helsinki. We started with the Sales Opportunity Qualification assignment. The business problem many B2B sales organisations have is low hit rate, especially in businesses with long sales cycles (3 to 24 months) and high cost of sales (thousands or tens of thousands Euro and multiple people participating solution design, proposal development, negotiations and so on). Typically sales organisations have very little data and facts about the sales process, even less about how customers make decisions (etc. We presented a data set of 200 sales opportunities; 150 lost and 50 won opportunities.