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【IT家庭开箱】小米家庭电压锅：让年轻人爱上烹饪_我的网站

A | 今年1月11日，小米“杂货店”迎来了一位新成员——米家高压锅。    

Brain-reading AI model reveals how different brain regions are linked to cognitive functions. Photo: Courtesy of Lu Han
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.
。目前，小米家居厨房区，已推出了一批智能化厨房五金产品，如电饭煲、净水器、电饭煲、电饭煲、电饭煲等，小米合约青年厨房的雄心突显。我们收到了米佳高压锅的这一产品。现在我们给你带来一张开箱照片。

B | 像米佳的其他五金产品一样，颜色仍然是该产品最大的亮点。白色、简约、智能化已成为米佳的“家庭”设计。米佳高压锅有许多卖点，如高色值、电磁调压、韩国铸铝锁紧结构、大型OLED屏、日本大金PFA粉末涂料等，将于1月16日上线销售，售价599元。

C | 富士米佳电饭煲，包括电饭煲1、电饭煲1、粥煲1、量杯1、电源线1、说明书1米佳电饭煲采用电磁调压阀，新型电磁吸压结构，可自由控制不同级别间的泄压效率0千帕至70千帕的压力值，以达到灵活可调的压力，从而达到无限的压力调节。米佳高压锅采用顶装式控制面板，下沉式解锁。可轻松浏览整个操作界面，不需弯腰。米家高压锅在控制界面上增加1.32英寸OLED触摸屏，实时显示烹饪时间、模式、状态、需要时的提醒等关键数据。米佳高压锅的额定压力为1.7大气压，可使锅体温度达到114℃左右，同时采用自动间歇变压方案，烹饪过程中无需手动泄压。米家高压锅上面板中间开孔功能设计。在保温阶段，可随时按中途上料键进行自动减压，并可在开口处加料。米佳高压锅采用韩国铸铝锁紧结构，仅在高端高压锅中可用。顶盖与内衬锁为一体，承压件少，牢固可靠。顶盖采用整体压铸合金锁环，厚度3.8毫米，能承受6倍的最大大气压力（正常烹饪时的最大压力为大气压力的1.7倍），并在压力阀外设计了特殊的泄压盖板，使泄压压力达到然后避免烫伤。米佳高压锅的内胆是由3.5毫米多层铝合金制成的。内胆涂有日本大金粉，用于食品接触安全。耐磨性和非粘性结合在一起。在智能功能方面，米家高压锅支持APP智能联动。连接到网络后，“WiFi智能电压锅”通过程序控制电磁压力控制阀的间歇微泄，具有上下温度传感器，并通过app精确控制烹饪压力的变化。还可以通过设备或应用设置用餐时间，应用终端可以远程操作，不受地理位置的影响，实现24小时智能预订。更多奖励：。

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