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Anthropic’s Claude 3 Opus has knocked OpenAI’s GPT-4 off the top of the chatbot leaderboard for the first time.

According to the Chatbot Arena Leaderboard, Anthropic’s Claude 3 Opus has taken the top spot from OpenAI’s GPT-4 for the first time. Claude 3 Opus now ranks first based on how real people rate chatbot skills. GPT-4 has been pushed down to second place.

The Chatbot Arena is a benchmark platform created by the Large Model System Organization (LMSYS) to compare the performance of large language models. The Arena pits different models against each other in secret, randomized battles. Users rate the models and vote for the answer they like best. This makes the rankings very useful because they are based on what users prefer.

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Working memory (WM) is a kind of advanced cognitive function, which requires the participation and cooperation of multiple brain regions. Hippocampus and prefrontal cortex are the main responsible brain regions for WM. Exploring information coordination between hippocampus and prefrontal cortex during WM is a frontier problem in cognitive neuroscience. In this paper, an advanced information theory analysis based on bimodal neural electrical signals (local field potentials, LFPs and spikes) was employed to characterize the transcerebral information coordination across the two brain regions. Firstly, LFPs and spikes were recorded simultaneously from rat hippocampus and prefrontal cortex during the WM task by using multi-channel in vivo recording technique. Then, from the perspective of information theory, directional hippocampus-prefrontal cortex networks were constructed by using transfer entropy algorithm based on spectral coherence between LFPs and spikes. Finally, transcerebral coordination of bimodal information at the brain-network level was investigated during acquisition and performance of the WM task. The results show that the transfer entropy in directional hippocampus-prefrontal cortex networks is related to the acquisition and performance of WM. During the acquisition of WM, the information flow, local information transmission ability and information transmission efficiency of the directional hippocampus-prefrontal networks increase over learning days. During the performance of WM, the transfer entropy from the hippocampus to prefrontal cortex plays a leading role for bimodal information coordination across brain regions and hippocampus has a driving effect on prefrontal cortex. Furthermore, bimodal information coordination in the hippocampus → prefrontal cortex network could predict WM during the successful performance of WM.

Keywords: Bimodal neural electrical signals; Graph theory; Transcerebral information coordination; Transfer entropy; Working memory.

© The Author(s), under exclusive licence to Springer Nature B.V. 2022.

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Without understanding how gravity affects time, the GPS location in your phone would get progressively less accurate until you end up in the wrong location.

The demonstration at 22 Bishopsgate was part of the Lord Mayor of London Alderman Professor Michael Mainelli’s mayoral theme, ‘Connect to Prosper’

The demonstration was the first in a series of showpiece exercises, which will run for the duration of the Lord Mayor’s tenure. The Experiment Series seeks to showcase innovation and invention in the City of London and promote and celebrate the many ‘knowledge miles’ within the Square Mile.

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A study from the Instituto de Astrofísica de Canarias (IAC) which combines laboratory chemistry with astrophysics, has shown for the first time that grains of dust formed by carbon and hydrogen in a highly disordered state, known as HAC, can take part in the formation of fullerenes, carbon molecules which are of key importance for the development of life in the universe, and with potential applications in nanotechnology. The results are published in the journal Astronomy & Astrophysics.

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A recent study published in the journal PNAS Nexus sheds light on the impact of text-to-image generative AI tools like Midjourney, Stable Diffusion, and DALL-E on the artistic process. The researchers discovered that these AI systems tend to enhance artists’ productivity and lead to more favorable evaluations of their work by peers.

Interestingly, while the average novelty in AI-assisted artwork content declined over time, peak content novelty increased. The findings point to the possibility of “generative synesthesia,” a blending of human creativity and AI capabilities to unlock heightened levels of artistic expression.

The advent of generative AI has sparked a heated debate within artistic communities. While some view these technologies as a threat to the intrinsic human ability to create, others recognize their potential to augment human creativity. The research aimed to unravel whether AI adoption enables artists to produce more creative content and under what conditions it leads to more valuable artistic creations.

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