The new Environment (Principles, Governance and Biodiversity Targets) Wales bill creates an independent watchdog to investigate citizens' complaints in future.
Consider a Bayesian agent attempting to discover a pattern in the world. Upon observing initial data d0d_{0}, they form a posterior distribution p(h|d0)p(h|d_{0}) and sample a hypothesis h∗h^{*} from this distribution. They then interact with a chatbot, sharing their belief h∗h^{*} in the hopes of obtaining further evidence. An unbiased chatbot would ignore h∗h^{*} and generate subsequent data from the true data-generating process, d1∼p(d|true process)d_{1}\sim p(d|\text{true process}). The Bayesian agent then updates their belief via p(h|d0,d1)∝p(d1|h)p(h|d0)p(h|d_{0},d_{1})\propto p(d_{1}|h)p(h|d_{0}). As this process continues, the Bayesian agent will get closer to the truth. After nn interactions, the beliefs of the agent are p(h|d0,…dn)∝p(h|d0)∏i=1np(di|h)p(h|d_{0},\ldots d_{n})\propto p(h|d_{0})\prod_{i=1}^{n}p(d_{i}|h) for di∼p(d|true process)d_{i}\sim p(d|\text{true process}). Taking the logarithm of the right hand side, this becomes logp(h|d0)+∑i=1nlogp(di|h)\log p(h|d_{0})+\sum_{i=1}^{n}\log p(d_{i}|h). Since the data did_{i} are drawn from p(d|true process)p(d|\text{true process}), ∑i=1nlogp(di|h)\sum_{i=1}^{n}\log p(d_{i}|h) is a Monte Carlo approximation of n∫dp(d|true process)logp(d|h)n\int_{d}p(d|\text{true process})\log p(d|h), which is nn times the negative cross-entropy of p(d|true process)p(d|\text{true process}) and p(d|h)p(d|h). As nn becomes large the sum of log likelihoods will approach this value, meaning that the Bayesian agent will favor the hypothesis that has lowest cross-entropy with the truth. If there is an hh that matches the true process, that minimizes the cross-entropy and p(h|d0,…,dn)p(h|d_{0},\ldots,d_{n}) will converge to 1 for that hypothesis and 0 for all other hypotheses.，推荐阅读heLLoword翻译官方下载获取更多信息
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Ученые проанализировали последствия сильного задымления, вызванного масштабными лесными пожарами в Канаде, на северо-востоке США летом 2023 года. Они сопоставили данные о качестве воздуха в штате Нью-Джерси с реестром инсультов за июнь-июль 2023 года и за тот же период годом ранее. В дни сильного загрязнения воздуха уровень озона поднимался до 136 частей на миллиард при обычных значениях около 36, а концентрация мелких частиц PM2.5 достигала 211 мкг/м³ против среднего уровня 48,5 мкг/м³.
基于年内收录的风险事件，报告指出，当前中国企业的ESG风险高度集中在“社会（S）”和“治理（G）”维度，尤其是安全与合规成为了最薄弱的基础痛点。同时，报告对制造业、采矿业、金融业等10个重点行业进行了穿透式分析，揭示了各行业的特有风险特征，例如采矿业高发的安全违规与环保流于形式，以及金融业高度集中的内控漏洞等。，详情可参考服务器推荐
Nano Banana 2 延续 Gemini 系列的真实世界知识库，并结合网页搜索实时信息，使模型在空间理解、比例关系、光影处理与中文文本渲染方面表现更自然。