MIT neuroscientists have used an artificial language network to determine the type of sentences that most stimulate the brain's key language processing regions. Their study reveals that the brain reacts more to complex sentences with unusual grammar or unexpected meaning. Straightforward sentences or nonsensical sequences show little engagement. The researchers focused on language processing regions…
A team of neuroscientists from the Massachusetts Institute of Technology (MIT) have used an artificial language network to identify the type of sentences that activate the brain's critical language processing centres. The team learned that more complex sentences, which feature unusual grammar or unexpected meanings, generate strong responses from these centres, while straightforward sentences barely…
Artificial Intelligence (AI) has brought significant transformation in healthcare by improving diagnostic and treatment planning efficiency. However, the accuracy and reliability of AI-driven predictions remain a challenge, due to the scarcity of data, which is common in healthcare. The specialized nature of medical data and privacy concerns often restrict the information available for training AI…
On-Device Intelligence (ODI) is a promising technology bridging mobile computing and artificial intelligence (AI) for real-time personalized services without reliance on the network. While the technology shows promise in applications like medical diagnostics and AI-enhanced tracking, it faces challenges due to decentralized user data and privacy concerns.
Traditional methods such as cloud-based computing raise privacy issues…
Using an artificial language network, neuroscientists from MIT have identified the type of sentences that most effectively activate the human brain's language processing centres. Their findings, published in Nature Human Behavior, show that the most stimulating sentences are those which are complex due to uncommon words or grammar, or unexpected meanings. Simplistic sentences or nonsensical…
For almost ten years, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have conducted studies to understand why some images are more memorable than others. The team used magnetoencephalography (MEG), which records timing of brain activity, and functional magnetic resonance imaging (fMRI), which identifies active brain regions, to discern when and where in…
Generative models are key tools in various sectors, such as computer vision and natural language processing, due to their ability to generate samples from learning data distributions. Among these, Diffusion Models (DMs) and particularly Latent Diffusion Models (LDMs) are favored for their high-quality image output, speed of generation, and reduced computational cost. Despite these advantages,…
A recent study from MIT has uncovered that the human brain's principal language processing centers are most activated while reading complex, unusual sentences. The artificial language network assisted study revealed that the more intricate a sentence was, either through unconventional grammar or unexpected meaning, the more these language processing centers were activated. In contrast, simple…