Thomas Z. Ramsøy

Category: Machine Learning

Our Brains are Predictive Variations on a Theme

Our Brains are Predictive Variations on a Theme

Predicting Mass Behavior Through Neuroscience Imagine a world where our brains hold the predictive key to unraveling and predicting the mysteries of market trends. This is not a realm of fiction, but a burgeoning field of neuroscience that reveals the power of our minds in predicting large-scale market responses. In this post, I will explore […]

Does Generative AI Have an Uncanny Valley Problem?

Does Generative AI Have an Uncanny Valley Problem?

Explore the concept of the ‘Uncanny Valley’ within the context of generative AI. Discover how this phenomenon impacts our perception and acceptance of AI-generated content, and the potential of neuroscience methods to aid in overcoming these issues, enhancing the relevance and appeal of generative AI solutions

Three Dimensions of Consumer Engagement

Three Dimensions of Consumer Engagement

Unravel the secrets of consumer engagement with a three-dimensional model – Knowledge, Preference, and Relevance. Discover neuro and AI tools for measurement, and explore actionable strategies to captivate your audience

Beyond the Blink: Dual Mechanisms of Consumer Attention

Beyond the Blink: Dual Mechanisms of Consumer Attention

In the attention economy, attention isn’t one-size-fits-all. Diving into the dual facets of bottom-up and top-down attention, Predict by Neurons is rewriting the rules, revolutionizing how we understand and engage consumers in the digital age.

Predictably Surprised: The Secret Sauce of Consumer Behavior

Predictably Surprised: The Secret Sauce of Consumer Behavior

Our brains, wired to minimize surprise, guide our choices. For marketers, aligning strategies with these predictions can make us predictably surprised

Eating pizza weirdly and the need for consumer neuroscience AI

Eating pizza weirdly and the need for consumer neuroscience AI

AI-generated ads present new challenges for the advertising industry, but also offer faster production. Marketers must navigate a fragmented landscape to reach their audience effectively. However, AI still has limitations, as seen in odd examples like pizza-eating people. The key is to calibrate AI output based on how consumers actually respond, requiring accurate predictive models. Solutions like Neurons’ Predict provide quick feedback for refining ad creatives in this new generative AI landscape.

Make Human the Denominator for Generative AI

Make Human the Denominator for Generative AI

The rise of generative AI models has made it easier than ever to produce commercial content on a massive scale. But we must not forget that human well-being should always be the ultimate goal. As we continue to develop and implement AI technologies, we must carefully consider their impact on human beings. By prioritizing human values and social responsibility, we can create a world that is not only more technologically advanced, but also more just, equitable, and compassionate. Here are some steps we can take to harness the power of generative AI while keeping human well-being at the forefront of our minds.