The Study Data Tabulation Model, known as SDTM, serves as a set guideline for arranging clinical trial data in a unified way.
There is a recent article in Quanta Magazine, What a Contest of Consciousness Theories Really Proved, stating that “A further complication was that the experimental results depended on the type of brain recording technique used. That’s not surprising since each technology provides a different lens into the brain. Functional magnetic resonance imaging (fMRI), for instance, tracks blood flow and offers good spatial resolution but is too sluggish to keep up with the pace of chatter among the neurons. Magnetoencephalography (MEG), on the other hand, tracks brain chatter but has poorer spatial resolution. It also makes a difference whether researchers are measuring signal strength in specific locations of the brain or analyzing patterns over wider areas.”
The ramifications of recent strike actions within the NHS are becoming increasingly evident, with the number of postponed appointments and treatments approaching a staggering one million.
Ameca transcends the boundaries of conventional robotics, offering a glimpse into the potential of AI-driven machines.
In the perspective of economists versus regular individuals, a distinct contrast emerges.
Artificial intelligence (AI) and big data are disrupting various sectors.
There is a fresh preprint on arXiv,Consciousness in Artificial Intelligence: Insights from the Science of Consciousness, stating that "in addition to agency and embodiment, a further possible necessary condition for consciousness is that conscious systems must be self-producing, self-maintaining, “autopoietic” systems.