[1] Just as the human brain created
AI and ML models that grow increasingly sophisticated by the day, these systems are now being applied to study the human brain itself. Specifically, such studies are seeking to enhance the capabilities of AI systems and more closely model them after brain functions so that they can operate in increasingly autonomous ways.
Researchers at
Meta AI have embarked on one such initiative. The research arm of Facebook's parent company today announced a long-term study to better understand how the human brain processes language. Researchers are looking at how the brain and AI language models respond to the same spoken or written sentences.
"We're trying to compare AI systems to the
brain, quite literally," said Jean-Rémi King, senior research scientist at Meta AI.
>> Read more. [2] How can organizations calculate the
risks and rewards of investing in emotion AI? Experts maintain that the technology can be useful in specific use cases, particularly when it comes to helping customers and supporting salespeople. But, they add, an emotion AI investment requires a commitment to transparency.
Organizations also need a full understanding of what the tools can and can't do, as well as careful consideration around
potential bias, data privacy and ROI.
Today's evolving emotion
AI technologies "may feel a little bit more invasive," admitted Annette Zimmerman, a vice president and analyst at Gartner who specializes in emotion AI. "For the enterprise, I think transparency needs to be the top priority."
>> Read more.
[3] New York-based Vic.ai, a startup that provides a platform designed to
automate accounting and financial processes for enterprises, today announced an AI-powered tool for enterprise-grade cost optimization.
Officially dubbed Spend Intelligence, the offering comes as the latest addition to Vic's flagship
intelligence product, designed to provide business and operational insights to help companies improve existing processes.
According to the company, the feature will further expand the product, enabling enterprise finance departments to make better, data-backed choices about their costs and eventually improve profits.
"In addition to
cost reductions, we'll eventually track and monitor carbon footprint to help companies calculate and reduce CO2 emissions. We look forward to working more closely and more prescriptively, with our customers to pinpoint changes that will translate into significant cost and environmental savings," said Alexander Hagerup, CEO of Vic.ai.
>> Read more. 
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