We now respond to the major comments are as follows. Take RL with the linear model as an example. More formally, we believe that the key is to prove an analogue of Lemma 5 for the linear model. We will also discuss the work on policy certificates (Dann et al., 2019) in related work section. We will add this discussion ot the next version of the paper.

Originality: This paper is the first demonstration of flow-based models to discrete data. As such, the work is fairly novel. The flow-based modeling community has been wondering how to model discrete data for some time, and this paper provides an answer to this question. That being said, the main technical contribution amounts to using a modulo operator (Eq. I view this simplicity as a benefit of the approach, but some may view this a simple extension of existing techniques.

OpenAI CEO Sam Altman said language and cultural inclusivity is "very important" to his company's mission as it builds and trains powerful artificial intelligence systems. For many, the Spanish class you took in high school wasn't enough to really learn the language. You showed up to class, took the notes, aced the test -- but you just weren't able to master it. Perhaps you can understand bits and pieces of a conversation, but you would really like to be fully conversational, or even fluent, in a foreign language. Understanding other languages truly broadens your horizons, but it's not an easy feat.

Whether you are a manager, an entrepreneur, or someone looking to take the next step of their career, it is always important to have an understanding of the big changes and challenges that are having, and will continue to have, a major impact on your industry sector. Since March 2020, the majority of those challenges have been focused on one thing. But even as the world went through the pandemic, we continued to see great strides forward in certain areas and major problems arising in others. As we look forward to the spring, the rest of 2022 and beyond, we should all try to take a step back and look at how we can improve our own knowledge and skill sets. This is especially important if you run your own business.

Polaris has announced a new partnership with data science Insurtech, Incited, to broaden its machine learning capabilities offered to its clients. The new enrichment service is available to Polaris clients using their flagship rating solution, ProductWriter's Run-Time Environment (RTE), to bring real-time predictive models into its dynamic pricing capabilities. Incited's founder and CEO Nick Turner said: "The integration of our machine learning service with ProductWriter is an industry first, demonstrating our joint commitment to enabling advanced features in the Polaris ecosystem. Our long-standing partnership with Polaris continues to deliver value to insurers and brokers. Adding machine learning capabilities to the RTE signals our ongoing commitment to develop and train an increasing number of high-value models for the industry."

Gary Fowler is a serial AI entrepreneur with 17 startups and an IPO. He is CEO and co-founder of GSDVS.com and Yva.ai. The long-standing question of whether technology will replace humans is a very popular topic for discussion. And yet, the resolution to this debate is not that simple or black and white; there are a lot of factors playing into the relationship between technological process and human engagement. Among the biggest trends in technological advancement that have been raising such questions are automation and hyperautomation. The two are different yet interrelated.

Digital Marketing, one of the hot topics in the Martech arena, evolved as a pivotal aspect amidst the pandemic. But we should also remember that a new decade has arrived for the world as also for digital marketing strategies. The present situation of COVID 19 pandemic is acting as an optimizer for digital marketing, even Coca-Cola is also taking the help of digital marketing strategies to reduce the impact of the pandemic. With platforms like Tiktok and Instagram Reel revolutionizing the meaning of short video content and capturing the attention of generation Z, this year's trends will spark a dramatic shift in marketing technology and customer behavior around the globe. As a deep-rooted part of digital marketing, Pay Per Click (PPC) is well-known for providing a boost to ROI under the right circumstances.

Precision oncology firm Notable Labs is launching its first self-sponsored clinical trial, designed from the ground up to help validate its cancer patient matching platform over the long term. The observational study--which also represents the company's largest trial to date--aims to enroll up to 1,000 participants with a variety of blood cancers and will follow them for at least one year as they receive physician-led standard-of-care therapies at different sites across the U.S. and Canada. Separately, Notable's phenotypic and artificial intelligence-powered platform will be tested against multiple patient samples collected over time to provide a longitudinal view of its predictive value based on cancer mutations, drug responses and the outcomes of each participant. It will also search for patterns useful in the development of new treatments. The company combines AI approaches with automated lab processes to determine which drugs or combinations will be most effective for specific cancers.

Neural style transfer was developed in 2015 by Leon Gatys and colleagues at the University of Tubingen in Germany. It comes about from a fascinating insight into the way neural networks learn to recognize images of different kinds. Neural networks consist of layers that analyze an image at different scales. The first layer might recognize broad features like edges, the next layer sees how these edges form simple shapes like circles, the next layer recognizes patterns of shapes, such as two circles close together, and yet another layer might label these pairs of circles as eyes. This kind of network would be able to recognize eyes in paintings in a wide variety of styles, from Leonardo da Vinci to Van Gogh to Picasso.

Tech industry employment is a seller's market firmly on the side of top talent, but competition for the best jobs remains fierce. Candidates cannot skate by on common skillsets and expect to secure the lucrative salaries, prestige, and perks for which the tech sector has become known. Companies today use advanced tools and tests to weed out the pretenders and identify the people who bring truly valuable skills to the table. Unfortunately, many tech workers -- even some of the best -- don't know exactly where they stand. To combat that knowledge gap, workers are turning to the same types of advanced tools that employers use on them.