Have you ever wondered if a photo of you has been part of a training set for an artificial intelligence algorithm? Well here's your chance to find out. Have I Been Trained? is a new site that lets you search the 5.8 billion images that are used to train popular AI art models. It was created by Spawning AI, which makes image generation tools for artists. The site uses LAION-5B training data, popular for training AI search terms.

Now more than ever, every company is a data company. By 2025, individuals and companies around the world will produce an estimated 463 exabytes of data each day, 1 1. Jeff Desjardins, "How much data is generated each day?" World Economic Forum, April 17, 2019. With that in mind, most businesses have begun to address the operational aspects of data management--for instance, determining how to build and maintain a data lake or how to integrate data scientists and other technology experts into existing teams. Fewer companies have systematically considered and started to address the ethical aspects of data management, which could have broad ramifications and responsibilities. If algorithms are trained with biased data sets or data sets are breached, sold without consent, or otherwise mishandled, for instance, companies can incur significant reputational and financial costs. Board members could even be held personally liable.

Robots--in the form of apps, webbots, algorithms, house appliances, personal assistants, smart watches, and other systems--proliferate in the digital world, and increasingly perform a number of tasks more speedily and efficiently than humans can. This paper explores how in the future robots can be regulated when working alongside humans, focusing on issues such as robot taxation and legal liability.

The Cloud and BigData Software Architect is responsible for leading technical efforts related to modern data engineering, based on Cloud computing technologies. The candidate is expected to have demonstrated experience in the domain, with proven record of architecting data centric systems at Cloud scale, supporting complex use cases. Experience with public cloud environments, with a focus on the various data services and cloud native software architecture are important for the position. Effectively participate in defining, designing, architecting and implementing cloud based systems. Master new and emerging technologies, and effectively apply them into new systems. Be in the forefront of the happenings related to data.

The increased focus to prioritize care and wellbeing following the global pandemic has spurred many healthcare organizations to fast-track their timelines for digital transformation. In a recent survey by Accenture Digital Health Technology Vision 2021, 81% of healthcare executives stated their organizations are speeding up for digital transformation, 93 % reported their organizations are innovating with urgency precipitated by the crisis. Healthcare systems and hospitals are working tirelessly to improve care for patients and reduce the burden on healthcare providers given the ongoing global pandemic. As we move closer to the new year, here are the top five trends that will continue to transform healthcare in 2022. According to a study by Intel, telemedicine users have increased by 2 million in the last five years.

The findings also reveal European executives see investing in cloud and AI as becoming central to CX strategy. Providing personalised support as part of an excellent CX is more than ever the goal for all companies. With digital channels now critically important, technology is key to remaining forefront of delivering the best CX. The results come from the third edition of the research, which surveyed 1,035 business executives across five major European markets. The survey highlights the trends and evolution in the market, which will be published across three eBooks, analysing: How AI is changing European contact centres, the Natural Language Processing (NLP) challenges in the contact centre industry, and ways contact centres can improve CX using AI.

The "Deep Learning with Keras and TensorFlow" course is an intermediate level course, curated exclusively for both beginners and professionals. The course covers the basics as well as the advanced level concepts. The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task. If you're new to this technology, then don't worry - the course covers the topics from the basics. If you have done some programming before, you should pick it up quickly.

Yes, robots are coming to take our jobs. That's a good thing, we should be happy they are because those jobs they're taking kinda suck. Do you really want to go back to the days of manually monitoring, flagging and investigating the world's daily bank transfers in search of financial fraud and money laundering schemes? The company has spent years developing a cutting-edge machine learning system that heavily automates the minutia-stricken process of "transaction surveillance," freeing up human analysts to perform higher level work while operating in delicate balance with the antique financial regulations that bound the industry. Working with AI by Thomas H. Davenport and Steven M. Miller is filled with similar case studies from myriad tech industries, looking at commonplace human-AI collaboration and providing insight into the potential implications of these interactions.

KT is looking to improve its artificial intelligence competitiveness through a partnership with Canada's Vector Institute, a nonprofit firm dedicated to AI research. According to KT, the two sides signed an agreement on research, development and business cooperation at the Vector Institute in Toronto on Thursday. The signing marked the first partnership between a South Korean company and the Vector Institute. KT said the partnership will focus on three main areas in the field of AI: joint R&D projects, foster professional talents and expanding the global AI ecosystem. For starters, the two sides will collaborate on applying voice recognition based on big data AI to KT AI services.

A time series is a sequence of data points, typically consisting of successive measurements made over a time interval.