More than two dozen prostitutes line a Queens New York City street soliciting sex. At the exact time Rep. Alexandria Ocasio-Cortez, D-N.Y., was live-streaming her "Madden" NFL video game session with vice presidential candidate Tim Walz, on Twitch, her constituents were taking to the streets to protest rampant illegal prostitution and crime in the neighborhood she represents. The progressive "Squad" member was slammed by fellow Democrat politician Hiram Monserrate for playing the video game on the streaming service Sunday afternoon while residents from her district held a rally calling for their community to be cleaned up. "We need advocates not gamers," Monserrate, a former New York state senator who is running for State Assembly, told Fox News Digital. The Queens neighborhood is well known as a "Red Light" district, with some residents comparing the unsanitary and seedy conditions to a "Third World" country.

Thousands of people lined up outside Citi Field in Queens, New York on Wednesday to watch the Mets face off with the Orioles. But outside the ticketing booth, a handful of protesters handed out flyers. They were there to protest a recent Major League Baseball program, and one that's increasingly common in professional sports: using facial recognition on fans. Facial recognition companies and their customers argue that these systems save time, and therefore money, by shortening lines at stadium entrances. However, skeptics argue that the surveillance tools are never totally secure, make it easier for police to get information about fans, and fuel "mission creep" where surveillance technology becomes more common, or even required.

The field of neuroscience and the development of artificial neural networks (ANNs) have mutually influenced each other, drawing from and contributing to many concepts initially developed in statistical mechanics. Notably, Hopfield networks and Boltzmann machines are versions of the Ising model, a model extensively studied in statistical mechanics for over a century. In the first part of this chapter, we provide an overview of the principles, models, and applications of ANNs, highlighting their connections to statistical mechanics and statistical learning theory. Artificial neural networks can be seen as high-dimensional mathematical functions, and understanding the geometric properties of their loss landscapes (i.e., the high-dimensional space on which one wishes to find extrema or saddles) can provide valuable insights into their optimization behavior, generalization abilities, and overall performance. Visualizing these functions can help us design better optimization methods and improve their generalization abilities. Thus, the second part of this chapter focuses on quantifying geometric properties and visualizing loss functions associated with deep ANNs.

Informa Group Plc. is hiring for Full Time Senior Data Architect - New York City, United States - a Senior-level AI/ML/Data Science role offering benefits such as Career development, Flex hours, Flex vacation, Health care, Medical leave, Salary bonus, Team events

Accrete AI is looking for a Senior Data Engineer that will be responsible for supporting production data pipelines, developing the foundation for the Accrete data lake, and implementing best practices from data engineering at Accrete. This will support new and existing applications running on Linux and Windows operating systems in private and public cloud infrastructures. The Data Engineering team at Accrete designs, develops, and maintains data pipelines, batch data analytics, and data stores of various kinds, including analytics and stores in support of artificial intelligence workloads for Accrete AI systems and applications. We offer a competitive salary, benefits package, and opportunities for growth and advancement within the company. If you are an innovative and results-driven leader, we encourage you to apply for this exciting opportunity.

We are seeking a highly qualified and talented technologist to join the Data Platform team at Schonfeld. The team is re-envisioning Schonfeld's platform include the data pipeline, research infrastructure in the cloud and back testing. The platform will ideally allow PMs to analyze data, back test their strategies and deploy them to production trading seamlessly. We'd love if you had: The firm's ethos is embedded in our people. 'Talent is our strategy' is our mantra and drives how we approach all initiatives at the firm.

We are seeking a talented Data Scientist to join the Data Science team. The team is responsible for establishing best practices in the data pipeline as well as building large-scale data analytics and modeling for systematic strategies. The Data Scientist will collaborate closely with portfolio managers, data engineering, and operations teams to develop data cleaning and transformation processes, curate datasets, extract features, and generate signals using statistical and machine learning techniques for large-scale datasets. As a Data Scientist, you will acquire domain expertise for a wide range of financial datasets and conduct EDA to discover patterns, trends, and insights. Additionally, you will contribute to expanding a scalable data science environment that facilitates systematic data research through data and analytics sharing, modeling, dashboard visualization, and backtesting.

Experian is hiring for Full Time Sr. Data Scientist - Adtech/Identity (Remote) - New York City, United States - a Senior-level AI/ML/Data Science role offering benefits such as 401(k) matching, Career development, Competitive pay, Equity, Flex hours, Flex vacation, Health care, Insurance, Parental leave, Startup environment, Wellness

Passionate about digital, data, IoT or AI and willing to join a dynamic and ambitious team on a human scale? Don't hesitate and join Talan! For 20 years, Talan has advised companies and administrations, supported them, and implemented their transformation and innovation projects in France and abroad. Present on five continents, the group expects to generate revenue of $670 million in 2022 for more than 6,000 consultants and aims to exceed the billion-euro mark in revenue by 2024. The Group places innovation at the heart of its development and operates in areas related to the technological changes of major groups, such as Big Data, IoT, Blockchain and Artificial Intelligence.

More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Make the Sportradar team smarter, faster, and stronger. Come work for and shape one of the fastest growing sports tech companies in the world. As a market innovator, Sportradar is valued at $3.5 billion, backed by prominent investors Ted Leonsis and Michael Jordan, and a partner to the top leagues and federations around the world including the NBA, MLB, FIFA and UEFA. We are a founder-led company with a fast-paced, growth-focused spirit that invites employees to pave their own path and make a personal impact in driving the company forward.