In Yeshiva University's engineering-focused M.S. in Artificial Intelligence (AI), offered by the Katz School of Science and Health, students will learn the key skills most valued in today's marketplace, including machine learning and deep neural networks, along with cutting-edge technologies such as reinforcement learning, voice recognition and generation, and image recognition and generation. In the program's project-based courses, students will build systems, models and algorithms using the best available artificial intelligence design patterns and engineering principles, all done in the heart of Manhattan, a global epicenter for artificial intelligence work and research. Prof. Andrew Catlin is the program director for the AI program, with a background as a data scientist and production systems developer who has worked with such major clients as Fidelity Investments; Smart Money; Donaldson, Lufkin and Jenrette; Manufacturers Hanover Trust; and the National Football League. He is also a founder of multiple tech startups, including Hudson Technology and Metrics Reporting. He teaches graduate courses in recommender systems, natural language processing and neural networks, among others.
Our entire financial system is built on trust. We can exchange otherwise worthless paper bills for fresh groceries, or swipe a piece of plastic for new clothes. But this trust--typically in a central government-backed bank--is changing. As our financial lives are rapidly digitized, the resulting data turns into fodder for AI. Companies like Apple, Facebook and Google see it as an opportunity to disrupt the entire experience of how people think about and engage with their money. But will we as consumers really get more control over our finances? In this first of a series on automation and our wallets, we explore a digital revolution in how we pay for things. This episode was produced by Anthony Green, with help from Jennifer Strong, Karen Hao, Will Douglas Heaven and Emma Cillekens.
THE COFFEESHOP is an engine of social mobility. Barista jobs require soft skills and little experience, making them a first port of call for young people and immigrants looking for work. So it may be worrying that robotic baristas are spreading. RC Coffee, which bills itself "Canada's first robotic café", opened in Toronto last summer. "[T]he barista-to-customer interaction is somewhat risky despite people's best efforts to maintain a safe environment," the firm says.
The Federal Reserve Board, the CFPB, the FDIC, the National Credit Union Administration and the OCC (the "agencies") solicited comment on financial institution use of artificial intelligence ("AI") and machine learning. The agencies are seeking information on operational purposes, governance and cybersecurity, risk management, credit decisions, and controls over AI, as well as whether the agencies can provide guidance regarding a financial institution's use of AI in a safe and sound manner. Comments on the request for information must be submitted within 60 days of its publication in the Federal Register.
Artificial intelligence salaries benefit from the perfect recipe for a sweet paycheck: a hot field and high demand for scarce talent. It's the ever-reliable law of supply and demand, and right now, anything artificial intelligence-related is in very high demand. According to Indeed.com, the average IT salary -- the keyword is "artificial intelligence engineer" -- in the San Francisco area ranges from approximately $134,135 per year for "software engineer" to $169,930 per year for "machine learning engineer." Check out our editorial recommendations on the best machine learning books. However, it can go much higher if you have the credentials firms need.
High tech continues to make inroads in financial services, and now regulators want more insight -- and input -- into how technologies such as artificial intelligence (AI) can and are being used by enterprises. In a joint statement this week from the Federal Deposit Insurance Corporation, the Board of Governors of the Federal Reserve System, the Office of the Comptroller of the Currency, the Consumer Financial Protection Bureau and the National Credit Union Administration, those agencies are seeking information and commentary on how financial institutions (FIs) are being used in activities as far-flung as lending and risk management. As reported by PYMNTS earlier in the year, Mastercard Vice President, Global Head of Product for Artificial Intelligence (AI) Express and Credit Risk Amyn Dhala told Karen Webster in an interview that technology such as AI can make real-time risk management attainable. It can help banks reduce tens of millions of dollars in losses, which will get the attention of every financial services company on the planet. AI can also improve customers' interactions with their FIs, he said.
WASHINGTON (Reuters) - U.S. banking regulators announced on Monday they were soliciting public input on the growing use of artificial intelligence by financial institutions. In a joint statement, the regulators said they wanted feedback on the use of the technology by banks to police fraud, underwrite loans and for other purposes, and what perks and challenges it presents. The query was not connected to any specific regulatory project, but rather regulators said they were soliciting public comment to identify any areas where it may be helpful for agencies to clarify existing rules to address the use of AI. "The agencies support responsible innovation by financial institutions," the regulators said in the solicitation. "With appropriate governance, risk management, and compliance management, financial institutions' use of innovative technologies and techniques, such as those involving AI, has the potential to augment business decision-making, and enhance services available to consumers and businesses." The query from the Federal Reserve, Consumer Financial Protection Bureau, and other federal financial regulators underscores the growing prevalence of AI in the financial sector, what it could mean for lenders and borrowers alike.
In February, McKinsey Global Institute predicted that 45 million Americans--one-quarter of the workforce--would lose their jobs to automation by 2030. That was up from its 2017 estimate that 39 million would be automated out of work, due to the economic dislocation of COVID-19. Historically, firms tend to replace some of the workers they fire during recessions with machines. Fear of robot-driven mass unemployment has become increasingly mainstream. Andrew Yang, who is currently leading the polls for the Democratic nomination to be the next mayor of New York City, made it a pillar of his unorthodox 2020 presidential campaign.
UiPath, a New York robotics automation company, on Friday said it had filed with the Securities and Exchange Commission for an initial public offering. The move comes not long after UiPath raised fresh capital from investors at a valuation of $35 billion, making the company one of the most valuable privately held tech businesses in the U.S., CNBC reported. The company, which plans to list on the New York Stock Exchange under the ticker symbol PATH, aims to raise $1 billion in the IPO, the SEC Form S-1 says. It has not detailed the number of shares it plans to offer or the estimated price range. In the fiscal year ended Jan.
While the governments of the United States and China are pushing policies for technological decoupling, private tech firms continue to tap resources from both sides. In the field of autonomous vehicles, it's common to see Chinese startups -- or startups with a strong Chinese link -- keep operations and seek investments in both countries. But as these companies mature and expand globally, their ties to China also come under increasing scrutiny. When TuSimple, a self-driving truck company headquartered in San Diego, filed for an initial public offering on Nasdaq this week, its prospectus flagged a regulatory risk due to its Chinese funding source. On March 1, the Committee on Foreign Investment in the United States (CFIUS) requested a written notice from TuSimple regarding an investment by Sun Dream, an affiliate of Sina Corporation, which runs China's biggest microblogging platform Sina Weibo.