Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
Billionaire entrepreneur Mark Cuban cautioned that social media algorithms, rather than candidates' policies or personalities, could have the greatest influence on voter behavior in the upcoming 2026 ...
Maternity benefits in many commercial real estate companies have improved, but women in the brokerage business often face the stark reality of missing out on income or even losing clients when they ...
The K-shaped economy has returned, with gaps widening between high and low-income Americans. Higher earners see steadier opportunities, while lower-income households face cooler prospects. Some ...
It is likely that Gov. Kathy Hochul and legislators will be searching for additional sources of revenue in the next legislative session. If they choose to explore expanded gambling opportunities, I’d ...
One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...
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America’s $38 Trillion Problem: National Debt, a Possible Wealth Fund, and What It All Means for Your Money
An overview of the U.S. national debt, the proposal for a national wealth fund, and how government investments, taxation, and economic pressures may impact consumers, markets, and individual investors ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
CAVA Group, Inc. is rated Hold, as shares trade near fair value after a 71% drop from all-time highs and recent weak earnings. CAVA faces macro headwinds, with softening traffic, rising costs, and ...
Monday - Friday, 08:00 - 11:00 CET | 14:00 - 17:00 HK/SG Earnings season is set to kick into full gear this week - headlined stateside by results from six of Wall Street's biggest lenders. Analysts ...
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