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Loftus and Palmer (1974) investigated the extent to which eyewitness testimony can be influenced by variables other than a person’s original memory of an event.

Listen to this series of comprehensive podcasts which cover the core studies from the OCR A-Level Psychology (H567) syllabus, covering themes, debates, ethics, methodology and more.


Time stamps

*Background — 00:06

Robotic Transformer 2 (RT-2) is a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control.

High-capacity vision-language models (VLMs) are trained on web-scale datasets, making these systems remarkably good at recognising visual or language patterns and operating across different languages. But for robots to achieve a similar level of competency, they would need to collect robot data, first-hand, across every object, environment, task, and situation.

In our paper, we introduce Robotic Transformer 2 (RT-2), a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control, while retaining web-scale capabilities.

Pseudo or Real?


In this study, the FRS condition typically suppressed the increase in glucose levels in the OGTT compared with that in the HCS condition. This tendency was also observed after comparing glucose levels 1 h after glucose loading (Supplementary Fig. S2 online). The suppressive effect of the FRS condition on glucose elevation was more pronounced in the older age group and the group with high HbA1c. However, it was not evident in the younger age group or the group with low HbA1c. Similarly, this tendency was observed when we divided the participants into two groups: high glucose level and low glucose level by OGTT (Supplementary Fig. S3 online). These converging findings imply that sounds with inaudible HFC are more effective in improving glucose tolerance in individuals at a higher risk of glucose intolerance.

It is well experienced in daily practice that stress has a significant impact on glycemic control in patients with diabetes. Many reports have highlighted stress-induced increases in blood glucose levels in patients with type 2 diabetes22,23,24,25,26,27,28,29,30,31. In addition, a large population-based cohort study of Japanese participants reported a 1.22-fold (women) and 1.36-fold (men) increased risk of developing diabetes in individuals with high subjective stress levels compared with those with low levels32. This indicates that stress management influences the pathological transition of patients with diabetes and the prevention of its onset in healthy individuals or potential prediabetics. However, the effects of stress on individuals, both in type and degree, vary so widely33,34,35 that it is practically difficult to study them under experimentally controlled conditions, unlike with pharmacotherapy.

The effects of stress on blood glucose levels are believed to be primarily mediated by neural control from the brainstem and hypothalamus36,37. We considered it important to investigate the possibility that acoustic information acting on the hypothalamus and brainstem may have physiological effects on glucose tolerance, independent of psychological effects, rather than primarily reducing subjective stress, which varies considerably among individuals and is difficult to measure objectively.

GitHub Copilot is getting an upgrade with an improved AI model and enhanced contextual filtering, resulting in faster and more tailored code suggestions for developers.

The new AI model delivers a 13% improvement in latency, while enhanced contextual filtering delivers a 6% relative improvement in code acceptance. These improvements are coming to GitHub Copilot for Individuals and GitHub Copilot for Business.

According to Github, the new model was developed together with OpenAI and Azure AI, and the 13% improvement in latency means that GitHub Copilot generates code suggestions for developers faster than ever before, promising a significant increase in overall productivity.

Nine brains, blue blood, instant camouflage: It’s no surprise that octopuses capture our interest and our imaginations. Science-fiction creators, in particular, have been inspired by these tentacled creatures.

An octopus’s remarkable intelligence makes it a unique subject for marine biologists and neuroscientists as well. Research has revealed the brain power of the octopus allows it to unscrew a jar or navigate a maze. But, like many children, the octopus also develops an impish tendency to push the boundaries of behavior. Several aquariums have found octopuses memorizing guard schedules to sneak into nearby tanks to steal fish; meanwhile, marine biologists have discovered that wild octopuses will punch fish … for no apparent reason.

According to Dr. Jennifer Maher, a professor at the University of Lethbridge in Canada, there are a “number of [different] types of learning [for octopuses]: cognitive tasks like tool use, memory of complex operations for future use, and observational learning.”

Recent collaborative research conducted by scientists in the United States and China unveils the mechanism through which a fertilized egg cell, also known as a zygote, triggers a ‘reset’, enabling the newly formed embryo can develop according to its own genetic program. The study was recently published in the journal Nature.

It has been known for some time that the genome of a newly fertilized egg cell is inactive and has to be woken up, said Richard Schultz, research professor at the University of California, Davis, School of Veterinary Medicine and a corresponding author on the paper. This step is called zygote genome activation.

“For the embryo to develop, the oocyte/egg has to lose its identity and does so by making new stuff,” Schultz said. “We now know the first steps in how this transition occurs.”