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编辑者： Svitlana Velhush
BepiColombo探测器，欧洲航天局（ESA）和日本宇宙航空研究开发机构（JAXA）的联合项目，于3年9月2026日成功将运输模块MTM与两个科学轨道飞行器分离。
这一事件标志着经过八年的飞行后，抵达水星的最后阶段开始。该任务于2018年10月发射，在此期间，探测器在地球、金星和水星附近执行了九次引力机动。
MTM的分离按计划进行。信号确认在近两小时后到达位于达姆施塔特的ESA控制中心。探测器将继续沿弹道轨迹飞行。
在2026年11月，复合探测器将进入水星轨道。在12月，MPO和Mio将分离，而任务的科学阶段将于2027年4月开始。
抵达水星是ESA最复杂的操作之一，因为该行星的引力较弱且靠近太阳。这一阶段将如何影响对这颗最靠近恒星的星球形成的理解？
该任务将首次通过两个配备互补仪器的独立轨道飞行器同时研究水星。
BepiColombo begins its final mission to Mercury
Great paper from Anthropic on AI agents doing ML-for-science research. (bookmark it) If you build AI-scientist systems, this one is worth your time. They propose Agent4Sci, which gives frontier coding agents 20 scientific ML benchmarks across 11 domains and asks them to beat
Common sense has prevailed. UK government approves Jackdaw gas field, and says production will start this month - follow live - BBC News share.google/uU1mLpX8bHETgd…
OpenAI showed that AI agents can handle the slowest step in modern biology, making sense of huge experiments. By splitting a huge brain experiment among 1,946 AI agents, OpenAI got in 32 minutes what it estimates would take people months: a ranked list of leads for new
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in
