AI tagged posts

Why GPT cannot think like us

ChatGPT
Credit: Unsplash/CC0 Public Domain

Artificial Intelligence (AI), particularly large language models like GPT-4, has shown impressive performance on reasoning tasks. But does AI truly understand abstract concepts, or is it just mimicking patterns? A new study from the University of Amsterdam and the Santa Fe Institute reveals that while GPT models perform well on some analogy tasks, they fall short when the problems are altered, highlighting key weaknesses in AI’s reasoning capabilities. The work is published in Transactions on Machine Learning Research.

Analogical reasoning is the ability to draw a comparison between two different things based on their similarities in certain aspects...

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AI infiltrates the rat world: New Robot can Interact Socially with Real Lab Rats

A robot rat that interreacts socially with real lab rats
Robot–rat social interaction paradigm: a rat-like robot plays the role of a rat conspecific to interact with another rat via multiple interaction patterns.Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00939-y

A team of roboticists at the Beijing Institute of Technology, working with a pair of colleagues from the Technical University of Munich, has created a new kind of rat robot—one that was designed to interact in social ways with real rats.

In their paper published in the journal Nature Machine Intelligence, the group describes how they used artificial intelligence to train their robot rat to behave like a real rat...

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Platform allows AI to Learn from Constant, Nuanced Human Feedback Rather than Large Datasets

During your first driving class, the instructor probably sat next to you, offering immediate advice on every turn, stop and minor adjustment. If it was a parent, they might have even grabbed the wheel a few times and shouted “Brake!” Over time, those corrections and insights developed experience and intuition, turning you into an independent, capable driver.

Although advancements in artificial intelligence (AI) have made self-driving cars a reality, the teaching methods used to train them remain a far cry from even the most nervous side-seat driver. Rather than nuance and real-time instruction, AI learns primarily through massive datasets and extensive simulations, regardless of the application.

Now, researchers from Duke University and the Army Research Laboratory have develope...

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Metalenses Harness AI for High-Resolution, Full-Color Imaging for Compact Optical Systems

A metalens, composed of an array of nanostructures with arbitrary rotational angles, acquires an image, which is restored to generate an output image that closely approximates the quality of the original “ground truth” image
A metalens, composed of an array of nanostructures with arbitrary rotational angles, acquires an image, which is restored to generate an output image that closely approximates the quality of the original “ground truth” image. Credit: Seo et al., doi 10.1117/1.AP.6.6.066002

Modern imaging systems, such as those used in smartphones, virtual reality (VR), and augmented reality (AR) devices, are constantly evolving to become more compact, efficient, and high-performing. Traditional optical systems rely on bulky glass lenses, which have limitations like chromatic aberrations, low efficiency at multiple wavelengths, and large physical sizes. These drawbacks present challenges when designing smaller, lighter systems that still produce high-quality images.

To overcome these issues, rese...

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