Finance

One bank towers above the competition when it comes to AI, a recent study suggests. A report from market research firm Evident Insights measures use of AI by the banking industry.

One of the world’s largest investment banks built a large language model to map cryptic government statements to future government actions. JPMorgan Chase trained a model based on ChatGPT to score statements by a United States financial regulator according to...

Hate talking to customer service? An AI-powered tool may soon do it for you. Joshua Browder, chief executive of the consumer advocacy organization DoNotPay, demonstrated a system that autonomously navigates phone menus and converses...

The demise of cryptocurrency exchange FTX threatens funding for some teams devoted to AI safety. FTX, the $32 billion exchange that plunged into bankruptcy last month amid allegations of fraud, had given or promised more than $530 million to over 70 AI-related organizations.

In a new report, business leaders share their machine-learning successes and struggles. Many businesses plan to increase their use of machine learning, but their efforts so far don’t always yield the results they seek.

AI startups are creating high value across a wide variety of industries. CB Insights, which tracks tech startups, published the latest edition of the AI 100, its annual list of 100 notable AI startups.

Most Americans don’t understand AI, according to a new survey. Only 16 percent of adults in the United States got a passing grade on a true-or-false questionnaire of AI’s capabilities and uses.

There’s a reason why artificial intelligence is sometimes referred to as “software 2.0”: It represents the most significant technological advance in decades. Like any groundbreaking invention, it raises concerns about the future, and much of the media focus is on the threats it brings.

AI-powered surveillance is becoming a staple in U.S. banks. Several banks are using cameras equipped with computer vision to bolster security and boost employee productivity, according to Reuters.

The UK’s electronic surveillance agency published its plan to use AI. Government Communications Headquarters (GCHQ) outlined its intention to use machine learning to combat security threats, human trafficking, and disinformation — and to do so ethically — in a new report.

Corporations are tailoring their financial reports to be read by machines. Automated systems download far more company financial reports than humans, according to a study by the U.S. nonprofit National Bureau of Economic Research.

A survey of AI in large companies sees boom times ahead — if AI teams can get past issues that surround implementation. Businesses of all sizes are using more machine learning, spending more on it, and hiring more engineers to wrangle it.

The U.S. government’s effort to take advantage of AI has not lived up to its promise, according to a new report. Implementations of machine learning systems by federal agencies are “uneven at best, and problematic and perhaps dangerous at worst".

What if AI requires so much computation that it becomes unaffordable?The fear: Training ever more capable models will become too pricey for all but the richest corporations and government agencies. Rising costs will

A neural network is helping credit card users continue to shop even when the lender’s credit-approval network goes down. Visa developed a deep learning system that analyzes individual cardholders’ behavior in real time to predict whether credit card transactions should be approved or denied.