This study introduces a novel methodology for scalable, minimally biased analysis of media bias in political news. The proposed approach examines event selection, labeling, word choice, and commission and omission biases across news sources by leveraging natural language processing techniques, including hierarchical topic modeling, sentiment analysis, and ontology learning with large language models. Through three case studies related to current political events, we demonstrate the methodology's effectiveness in identifying biases across news sources at various levels of granularity. This work represents a significant step towards scalable, minimally biased media bias analysis, laying the groundwork for tools to help news consumers navigate an increasingly complex media landscape. Keywords: Large Language Model, Machine Learning, Media Bias, Natural Language Processing, Ontology Learning 2 1 Introduction News is essential for keeping people and citizens informed. Reporting on world events shapes how we view our world and forms societies [1, 2].

By better capitalizing on data, artificial intelligence (AI) could boost the world economy by up to $15.7 trillion by 2030, according to a report released for the first time in Israel by Bank of America. The report, "Thematic Investing," written and prepared by Israeli Haim Israel - Bank of America's head of Global Thematic Investing Research - was first sent to banking stakeholders last month. This week, Israel provided a copy of the report to The Jerusalem Post. According to Israel's predictions, the global AI market - software, hardware and services - could reach $900 billion by the end of 2026. Although AI has existed for around 70 years, according to Israel, the world is only now about to experience the AI revolution.

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.

ChatGPT and artificial intelligence will not replace humanity anytime soon, Yitzhak Ben-Israel told The Jerusalem Post in an interview on the sidelines of his Tel Aviv University AI conference this week. Ben-Israel, who founded the Israel National Cyber Directorate, led the Israel Space Agency for 17 years and served as a major-general in key IDF positions, said, "What could be and what is practical" and likely are two different things. Using autonomous cars as an example, he said it "has been proven for 10 years already that autonomous cars drive better than people. It is not a problem with the price. "It will not happen yet because there are problems," he suggested. "No one wants a car accident that would kill someone.

Researchers used machine learning models to classify the earliest dinosaurs, which dominated the land until their extinction 66 million years ago, …

Avi Veidman is the CEO at Nucleai, the provider of an AI-powered oncology platform that utilizes machine learning to offer insights into cancer …

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Jerusalem Post said Monday that its website and Twitter account were targeted by "pro-Iranian hackers" who posted an ominous image of a model of the Israeli Dimona nuclear facility under a ballistic missile attack. "We are close to you where you do not think about it," the text in the image read. The paper pointed out that the missile seems to be fired from a ring known to be found on Qassem Soleimani's hand after a Jan. 2, 2020 U.S. drone strike at Baghdad International Airport that resulted in his death.

Because the decline in sea ice increases moisture in the air, AA ultimately leads to heavy snowfalls in the Arctic.

A play written by an artificial intelligence (AI) program was planned to be presented in Prague this month, to mark the invention of robots (or at least the idea of robots) in the same city exactly one hundred years ago. COVID-19 got in the way of that, and it will now only be available free online late next month. The future is quite different than they expected it would be like. Josef Capek's play, Rossum's Universal Robots: RUR, was an instant hit in 1921. It was his brother, Karel, who came up with the name.

Various artificial intelligence initiatives in the field of mental health have emerged over the last few years. The current size of the e-health ecosystem is mammoth, with estimates of expenditures to be in the tens of billions of dollars per year. Why are so much time, energy, and financial resources being poured into e-health? Because mental distress, particularly among young people, is a global pandemic. The latest World Health Organization study shows that one in five teenagers experiences mental distress, and research confirms that some 90% of young adults ages 18-29 in the United States utilize social media, preferring text to phone calls.