破产姐妹
尼康为Z系列引进了14-30毫米F/4超广角镜头。_我的网站
一 | 据国外媒体Peta Pixel报道，尼康昨天推出了一款新的Nikkor Z 14-30mm f/4s镜头，这是尼康Z系列全帧无反光相机系统的首款超广角变焦镜头。
Chinese scientists have developed a “brain-reading” AI model that could help predict the risk of depression among adolescents up to four years in advance by analyzing how humans respond to facial expressions, a technology expected to inspire future development of embodied intelligent humanoids capable of perceiving human emotion and thoughts through nuanced facial cues.
WHO data show that around 332 million people worldwide have depression, about one-third of whom have treatment-resistant forms of the condition. In China, an estimated 95 million people suffer from depression, National Business Daily reported, citing statistics from the China Mental Health Survey.
Using data from a population-based longitudinal adolescent cohort recruited across several European countries, the research team led by Lu Han, assistant professor at the School of Artificial Intelligence, Shenzhen University, has built an AI model that predicted which 19-year-olds were more likely to develop depression at the age of 23. The predictions were backed up by an independent clinical cohort of individuals with depression. The team’s paper was published in the journal Science Advances this month.
According to Lu, the study used brain scans taken at age 19 to predict depression-related symptoms at age 23. The study focuses on adolescence because the transition from adolescence to early adulthood is a key developmental period when depressive symptoms can increase rapidly. The earlier risks are identified, the greater the opportunity for prevention, Lu told the Global Times on Monday, adding that the findings need to be further validated in middle-aged and older adults and across different ethnic groups in future research.
In this study, the researchers analyzed data from adolescents in the IMAGEN, a population-based longitudinal cohort recruited across several European countries. At age 19, participants underwent an fMRI emotional-face task, and their emotional symptoms were assessed using standardized questionnaires. Genetic data obtained from blood samples were also analyzed, and participants were followed up at age 23. The researchers examined whether neural representations of angry faces at age 19 were associated with emotional symptoms and could predict elevated emotional symptoms four years later.
According to Lu, people without depression can more easily distinguish emotional changes based on others’ facial expressions and respond accordingly – for example, responding with friendliness to a smiling expression. But people with depression cannot do this, and are more likely to assume people are angry with them.
A brain-aligned deep-learning model developed by Lu’s team suggested that those participants whose brains were less able to distinguish between different facial emotions and tended to perceive others as angry were more likely to develop symptoms of depression and anxiety in adulthood.
The hypothesis that adolescents at risk of depression may respond differently to other people’s facial expressions than those without such risk based on the negative information processing bias long observed in depression research: people at risk of depression are more likely to notice, interpret, or remember negative social information, Lu said.
The researchers focused on angry facial expressions because they signal social threat and rejection, which are closely linked to interpersonal difficulties and negativity bias associated with depression. They hope to further understand how this bias develops within the visual system.
Building on this, they created a deep learning model, which mimics how the brain processes visual information, to predict how the brain encodes abstract emotional concepts such as anger.
They found that 19-year-olds whose response to facial expressions was skewed in favour of negative emotions or memories were the most likely to develop some form of depression.
Based on these findings, Lu’s team then developed a marker that can identify possible warning signs.
According to Lu, the study found that the computational biomarker was linked to the depression-related variant rs11123030 and polygenic risk for depression, suggesting that genetic susceptibility may affect emotional perception. It also provided predictive information beyond family stress and socioeconomic factors, complementing rather than replacing environmental risk factors. Therefore, depression is neither purely genetic nor purely psychological, but a complex mental disorder arising from the interplay of genetic susceptibility, brain development, emotional and cognitive processes, and life experiences.
According to Lu, the study is also expected to advance AI by aligning deep neural networks with human brain activity and using parameter perturbations to probe neural mechanisms, allowing models to both predict and explain how biases may arise.
The findings suggest that future affective computing and embodied AI should go beyond simply labeling facial expressions, incorporating visual details while preventing prior assumptions from overriding real-time sensory input, Lu said, adding that the findings could provide valuable insights for developing more interpretable robotic perception systems that more closely emulate the way humans process emotions.
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二 | 这一最新的S线镍镜头是一个流行的选择景观，旅游，事件和建筑摄影师，提供了性能和便携性的结合，只有尼康的革命性的新Z山才能实现。尼康说，该镜头的新光学设计充分利用了Z座的大直径，以提高光学性能和优化高像素相机。虽然透镜的宽度为14毫米，但它的前部部件几乎是平的，这使得它成为第一个覆盖14毫米的超广角变焦透镜。过滤器（支持82 mm旋转过滤器）可以安装在前面。这种镜头也是超轻和便携式的：它的长度只有3.5英寸（8.9厘米），重量只有1.07磅（485克）。与尼康16-35mm f/4Ged VR镜头相比，新款14-30mm镜头短32%，轻28.6%。
三 | 与尼康14-24mm f/2.8g ED相比，新镜头短了35%，轻了51.5%。新的14-30毫米f/4s的其他特点和规格包括“不匹配的失真和色差控制”。尼康抗反射纳米晶涂层减少重影和闪光。氟涂层可防止灰尘/水/油脂/污垢。步进电机（STM）技术可实现平滑/快速/安静的自动对焦、可定制的控制环和优化的视频性能（减少对焦呼吸）。以下是使用新的14-30毫米镜头拍摄的一些样品照片：新的镍Z 14-30毫米F/4S镜头将在2019年春季以1300美元（约8878元）的价格出售。
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Published on:07:39:19