Amid a recent explosion of rapid and thrilling advances in consumer-facing artificial intelligence applications, the AI community made up of industry experts, academics and folks who are just plain interested in the tech are looking forward to AI Week. The international event begins Monday, hosted by The Blavatnik Interdisciplinary Cyber Research Center and The Yuval Ne'eman Workshop for Science, Technology & Security, in cooperation with TAD Center for Artificial Intelligence and Data Science at Tel Aviv University. There, the AI community will gather to discuss the technology's development, potential future application and inherent ethical quandaries, steering the ship of artificial intelligence into the new year by answering the industry's current burning questions, such as where the next breakthroughs will be, how the working class will be impacted by these tools and what kind of fine-tuning is required for current applications. To answer these questions and set the stage for AI Week, The Jerusalem Post spoke with Nadav Cohen, one of the event's many keynote speakers. Cohen is a professor of computer science, a deep learning researcher and the chief scientist at Imubit, which implements deep learning for optimizing manufacturing processes, enabling real time control of large manufacturing facilities and making them run optimally, which is good for both profit and sustainability. It seems as though, in 2023, every Tom, Dick and Harry has their eyes on AI and its development thanks to the meteoric popularity and widespread usage of generative AI platforms like ChatGPT and DALL-E.

Is social media ruining the world? The common denominator of all these phenomena is that they're fueled in part by our seemingly innocuous participation in digital social networking. But how can simple acts like sharing photos and articles, reading the news, and connecting with friends have such destructive consequences? These are the questions explored in the new Netflix docu-drama The Social Dilemma. Directed by Jeff Orlowski, it features several former Big Tech employees speaking out against the products they once upon a time helped build.

graduate in Mathematics who has done specialization in machine learning. He has worked in Similarweb as the head of research where he was creating …

As a result, our experts are here to share their thoughts on the top 3 technologies that will play a major role in 2025. Here are thoughts from experts in the Digital Transformation, Artificial Intelligence, Cyber Security and Cloud Computing. Check the data and know more about the future of technology and humans. AI is the battleground on which the long-term business success will be decided. AI-powered organizations are getting ahead.

Expert Speaker: Paul Burpo In this Expert Talk, you will learn how to architect a big data solution in Azure. Topics will include Azure Data Bricks, Azure Machine Learning Services, Data Factory, and Storage.

The rise of AI and machine learning in financial services is already driving major benefits across compliance and the customer experience. To realize the full potential, Sean Durkin, Head of Data Science at Barclays, tells us in our latest Expert Talk about the importance of being able to appreciate the "art of the possible". Best practice tells us that screening remains our best defense against corruption. However, Refinitiv's 2018 research into the true cost of financial crime highlights just how tough it is for often over-burdened compliance teams to pinpoint potential risk in the age of big data and global third-party networks. Such challenges can lead to gaps in compliance, which inadvertently allow financial crime to flourish.

On the tips of tongues in industries like social media and beyond, Artificial Intelligence (AI) and automation have certainly built up their fair share of a fanbase. But, the real question remains… what effect will AI have on the industry? While I'd love to share my point of view, I think it is only fair you shape your own conclusion with the below in mind. But first, let's get down to basics. Straight from Techopedia: "Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, learning, and planning / problem-solving."

Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000. We caught up with Eric Taylor, Senior Data Scientist at CircleUp in a Simplilearn Fireside Chat to find out what makes data science such an exciting field and what skills will help professionals gain a strong foothold in this fast-growing domain. Watch the complete Fireside Chat recording here or read on to find out everything new and exciting about data science. People have tried to define data science for over a decade now, and the best way to answer the question is probably via a Venn diagram.