In recent years, between lockdowns, curfews, supply chain disruptions, and energy crunches, retailers must have felt like dinosaurs trying to dodge a rain of asteroids and avoid extinction. But unlike those giant prehistoric reptiles, the retail industry could count on a full array of technological innovations to better meet the challenges of these difficult times. One of the most impactful tools in this arsenal has certainly turned out to be artificial intelligence, including its powerful sub-branch known as machine learning (ML). Let's briefly frame the nature of this technology and explore the key use cases of machine learning in retail. Machine learning in retail relies on self-improving computer algorithms created to process data, spot recurring patterns and anomalies among variables, and autonomously learn how such relations affect or determine the industry's trends, phenomena, and business scenarios.

In the age of respiratory illnesses like COVID 19, we understand the necessity for a robot based delivery system to ensure safe and contact free courier delivery. A blockchain based Dynamic IDentifier gives people total power over their identities while preserving auditability and anonymity. A human mobile phone and a robot are machines created with a chip, making it simple to deploy a physical unclonable function based verification system between the robot and the customer. This article presents a novel framework and a first customer verification scheme for verified courier delivery utilizing the blockchain enabled DID and PUF enabled robots. We employ DID for customer authentication between a robot (a service provider) and a customer and PUF for robot verification by the customer. We ve also put the proposed work into practice and demonstrated its capabilities in terms of throughput, latency, computing cost, and communication cost. We also show formal security proof for the proposed user verification scheme based on the tamarin prover.

I am VP of Product Delivery at Reface – AI-app to swap faces on videos, GIFs, and images. As humanity continues to implement new AI-solutions into many industries, the question of these projects' usefulness and ethics is still often debated. Experts emphasize that developers of any new AI-tool must check its for goodness', be responsible for its safety and consider its potential risk of harm. Still, the question of who should control the creation and use of new AI-technologies, specifically in synthetic media and deepfake tools, remains open. And secondly, is there a risk of making the code of new tools available to the general public?

Bengaluru: Online retailer Amazon India is fast increasing the adoption of machine learning technology in order to cut product returns, improve the speed and accuracy of product deliveries, provide more relevant search results and improve efficiency in other areas of its business. Inc. is one of the global leaders in artificial intelligence and machine learning technologies, along with the likes of Google, Facebook Inc. and Microsoft Corp. In India, the company has been relatively slow in using machine learning, mostly because it launched in the country only in June 2013. Now that it's accumulating increasing quantities of data on customers, the company is increasing the adoption of machine learning in its business. "There are a lot of problems that are India-specific where you need machine learning," said Rajeev Rastogi, director, machine learning at Amazon India (Amazon Seller Services Pvt.

The next time you shop on fashion website Myntra, you might end up choosing a t-shirt designed completely by a software--the pattern, colour and texture-without any intervention from a human designer. The first set of these t-shirts went on sale four days ago. This counts as a significant leap for Artificial Intelligence in ecommerce. For customers, buying online might seem simple--click, pay and collect. Behind the scenes, from the warehouses to the websites, artificial intelligence plays a huge role in automating processes.

The next time you shop on fashion website Myntra, you might end up choosing a t-shirt designed completely by a software--the pattern, colour and texture-- without any intervention from a human designer. The first set of these t-shirts went on sale four days ago. This counts as a significant leap for Artificial Intelligence in ecommerce. For customers, buying online might seem simple--click, pay and collect. Behind the scenes, from the warehouses to the websites, artificial intelligence plays a huge role in automating processes.

The next time you shop on fashion website Myntra, you might end up choosing a t-shirt designed completely by a software - the pattern, colour and texture-without any intervention from a human designer. The first set of these t-shirts went on sale four days ago. This counts as a significant leap for Artificial Intelligence in e-commerce. For customers, buying online might seem simple--click, pay and collect. Behind the scenes, from the warehouses to the websites, artificial intelligence plays a huge role in automating processes.