Researchers have found a soft and squidgy water-rich gel is not only able to play the video game Pong, but gets better at it over time. The findings come almost two years after brain cells in a dish were taught how to play the 1970s classic, a result the researchers involved said showed "something that resembles intelligence". The team behind the latest study said that while they were inspired by that work, they were not claiming their hydrogel was sentient. "We are claiming that it has memory, and through that memory it can improve in performance by gaining experience," said Dr Vincent Strong, the first author of the research, from the University of Reading. Strong said the work could offer a simpler way to develop algorithms for neural networks – models that underpin AI systems including Chat GPT – noting that at present they are based on how biological structures work.

A DeepMind research group conducted a comprehensive generalization study on neural network architectures in the paper'Neural Networks and the Chomsky Hierarchy', which investigates whether insights from the theory of computation and the Chomsky hierarchy can predict the actual limitations of neural network generalization. While we understand that developing powerful machine learning models requires an accurate generalization to out-of-distribution inputs. However, how and why neural networks can generalize on algorithmic sequence prediction tasks is unclear. The research group performed a thorough generalization study on more than 2000 individual models spread across 16 tasks of cutting-edge neural network architectures and memory-augmented neural networks on a battery of sequence-prediction tasks encompassing all tiers of the Chomsky hierarchy that can be evaluated practically with finite-time computation. They demonstrated that more significant quantities of training data do not permit generalization on tasks further up in the hierarchy for various architectures, possibly suggesting rigid restrictions for scaling rules.

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Scientists have been looking for signs of life in different realms of our solar system. Even though we are yet to find a certain answer about the existence of alien life, several advanced Artificial Intelligence tools have been developed with a promise of finding the truth. However, scientists are now suggesting that these rovers and robots that we have relied on for years, might become the cause of inaccurate results. According to Independent, the latest study suggests that AI could trick us into believing that we have discovered aliens. This is simply because just like humans, machines are prone to cognitive biases and misidentification, which may convince us to believe that any object detected is aliens or living organisms on Mars.