And I also think there's going to be a different conversation about AI, machine learning and things like that.

I recently started an AI-focused educational newsletter, that already has over 70,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. One of the pivotal challenges of the next decade of artificial intelligence(AI) is to determine whether data and intelligence are democratized or remain in control of a few large organizations. A few months ago, I wrote a three-part series of the decentralization of artificial intelligence(AI).

This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide broad coverage of the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring safe driving as well as accident prevention. Self-contained and unified in presentation, the book explains in detail the fundamental solutions to autonomous vehicles' perception, decision-making, and action-taking, in a pedagogic order.

I worry that when writing these columns, I sometimes start by meandering my way off into the weeds, cogitating and ruminating on "this and that" before eventually bringing the story back home. So, on the basis that "a change is as good as a rest," as the old English proverb goes, let's do things a little differently this time. Take a look at the image below. What do you see in addition to the penny piece? What I see is a Mantis AI-in-Sensor (AIS) System-on-Chip (SoC), where the "AI" portion of this moniker stands for "artificial intelligence."

Hey guys, in this module, we are going to talk about What are the Applications of Python? We have already seen the Future of Python in our previous module and know already how python is ruling today's industry and how it is becoming famous. So, let's focus on some of the applications in this module. Let's dive into the depth of this module. Since we know what python is and how one can start his/her career in the same, so, let's see applications of the python that in what manner python is useful or what all things can be constructed or built from python.

The last few years saw customers shift their preference from buying clothes at retail outlets to conveniently buying online on their gadgets. This change in customer behavior was further accelerated by COVID-19 as customers had to depend on buying online for most of their shopping needs. Despite COVID-19 beginning to ease off slowly, customers believe that shopping online is a lot more convenient than having to go from store to store to get what they're looking for. E-commerce brands are thus doing their best to keep their hard-earned customers engaged on their platform by delivering personalized user experiences. We caught up with Mohit Panjwani, Associate Director- Revenue Growth at Myntra to understand how e-commerce fashion brands like Myntra are leveraging the power of customer data and marketing analytics to craft memorable and personalized shopping experiences.

The last few years saw customers shift their preference from buying clothes at retail outlets to conveniently buying online on their gadgets. This change in customer behavior was further accelerated by COVID-19 as customers had to depend on buying online for most of their shopping needs. Despite COVID-19 beginning to ease off slowly, customers believe that shopping online is a lot more convenient than having to go from store to store to get what they’re looking for. E-commerce brands are thus doing their best to keep their hard-earned customers engaged on their platform by delivering personalized user experiences. We caught up with Mohit Panjwani, Associate Director- Revenue Growth at Myntra to understand how e-commerce fashion brands like Myntra are leveraging the power of customer data and marketing analytics to craft memorable and personalized shopping experiences. Myntra is India’s leading e-commerce company committed to making fashion and lifestyle products accessible to everyone. From its birth as a customization company in 2007 to being technology and fashion pioneers today, Myntra has grown to become the ultimate destination for fashion and lifestyle, being host to a wide array of merchandise including clothing, footwear, accessories, jewellery, personal care products, etc. Mohit shares his thoughts on: * Major customer engagement and retention challenges faced by e-commerce brands * Importance of adopting an omnichannel approach to effectively engage with customers across all touchpoints of the user journey * Need to have a consistent messaging across channels beyond website and app- thoughts on product recommendations, personalized emails, and app push notifications * How predicting customer churn through ML is critical to increasing retention * Innovative campaigns and ideas used to increase customer engagement and repeat purchase behavior * 3 biggest e-commerce trends that can pick up steam in 2021 Tune in to gain insights on how the best in the business caters to customer needs and requirements by delivering customer experiences at scale.

Intersectional bias is a bias caused by an overlap of multiple social factors like gender, sexuality, race, disability, religion, etc. A recent study has shown that word embedding models can be laden with biases against intersectional groups like African American females, etc. The first step towards tackling such intersectional biases is to identify them. However, discovering biases against different intersectional groups remains a challenging task. In this work, we present WordBias, an interactive visual tool designed to explore biases against intersectional groups encoded in static word embeddings. Given a pretrained static word embedding, WordBias computes the association of each word along different groups based on race, age, etc. and then visualizes them using a novel interactive interface. Using a case study, we demonstrate how WordBias can help uncover biases against intersectional groups like Black Muslim Males, Poor Females, etc. encoded in word embedding. In addition, we also evaluate our tool using qualitative feedback from expert interviews. The source code for this tool can be publicly accessed for reproducibility at github.com/bhavyaghai/WordBias.

Machine learning provides more and more powerful tools for data analytics. On the other hand, security and privacy attacks increasingly involve data. Therefore, machine learning and security & privacy naturally intersect with each other as they both involve data, and there are many interesting questions at the intersections: i) How machine learning impacts security and privacy analytics design? In this talk, I will first talk about machine learning for security and privacy in social networks, particularly, graph-based collective classification to detect fake accounts in social networks. A long-standing challenge in collective classification is that existing methods cannot learn accurate edge weights, thus resulting in limited detection performance in practice.

Comarch is a provider of complete IT solutions for telecoms, working with some of the worlds leading SPs: Vodafone, T-Mobile, Telefónica, E-Plus, KPN and MTS. For Total Telecom, Comarch are also a key partner at the annual Total Telecom Congress. With the 2021 now firmly underway, Total Telecom caught up with Rajmund Zielinski, IAA Product Manager at Comarch to get his thoughts one of the industries hottest topics: AI. In the wake of the coronavirus, digitalization has accelerated around the world and telcos are required to handle ever more data. How can operators use AI to gain value from this data?