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IAEA officials: Fukushima ongoing discharge of treated radioactive water going well_我的网站

A |     IT之家 7 月 21 日消息，科技媒体 The Decoder 昨日（7 月 20 日）发布博文，报道称谷歌 DeepMind 发布 GenCeption 模型，将预训练的视频生成器重新用于深度估计和分割等经典计算机视觉任务。         IT之家援引博文介绍，大语言模型在学习预测下一个 Token 的时候，在训练过程中往往需要吸收语法、世界知识和上下文关系等内容。    TOKYO -- The operator of the Fukushima Daiichi nuclear power plant said the discharge of the second batch of treated radioactive wastewater into the sea ended as planned on Monday, and International Atomic Energy Agency officials in Japan for their first safety and monitoring mission since the release began two months ago said “no issues” were observed.Fukushima Daiichi started releasing treated and diluted radioactive wastewater into the sea on Aug. 24. The operator, Tokyo Electric Power Company Holdings, said the release of a second, 7,800-ton batch of treated wastewater was completed, with its daily seawater sampling results fully meeting safety standards.A magnitude 9.0 quake on March 11, 2011, triggered a massive tsunami that destroyed the plant’s power supply and cooling systems, causing three reactors to melt and spew large amounts of radiation. Highly contaminated cooling water applied to the damaged reactors has leaked continuously into building basements and mixed with groundwater.The release of treated wastewater is expected to continue for decades. It has been strongly opposed by fishing groups and neighboring countries including South Korea, where hundreds of people have protested. China banned all imports of Japanese seafood the day the release began, badly hurting Japanese seafood producers, processors and exporters. Russia recently joined China in the trade restrictions.“I would say that the first two batches of releases went well. No issues were observed," Lydie Evrard, IAEA deputy director general and head of the department of nuclear safety and security, told a Tokyo news conference. She said she visited Fukushima Daiichi on Friday for a firsthand look.Evrard's visit came on the heels of a marine sampling mission by another IAEA team that included scientists from China, South Korea and Canada. She said all participants in that mission said their activity went well. She did not say whether Chinese scientists acknowledged the safety of the release.She said China has been involved in the IAEA safety task force since the beginning of the review that began two years ago and has participated in corroboration activities. The IAEA is aware of China’s concern and engaged with its authorities, Evrard said.Japanese Prime Minister Fumio Kishida, in his policy speech Monday, renewed his call for China to immediately lift its ban on Japanese seafood imports.During the Oct. 16-23 visit, the IAEA sampling team collected seawater, sediment and fish from near the plant and visited a marine laboratory near Tokyo that makes fish specimens for radiation analysis by institutions in and outside Japan, including the IAEA.During Evrard's visit, IAEA task force and Japanese officials are expected to discuss the safety of the ongoing discharge and their future mission plans, with a report expected by the end of the year. She said the discharge plan would be updated with new findings and data collected over the past two months.The IAEA, based on its two-year review of TEPCO's wastewater release plan, concluded in July that if it is carried out as planned, it will have a negligible impact on the environment, marine life and human health.Japan’s government and TEPCO say the discharge is unavoidable because wastewater storage tanks at the plant will be full next year. They say the water produced by the damaged plant is treated to reduce radioactivity to safe levels, and then diluted with massive amounts of seawater to make it much safer than international standards.TEPCO has said it plans to release 31,200 tons of treated water by the end of March 2024, which would empty only 10 tanks out of 1,000 because of the continued production of wastewater at the plant.。         但是在计算机视觉领域，视觉模型缺少等效的训练方法，主要由专业模型主导，包括用于分割的“Segment Anything”和用于深度估计的“Depth Anything”，每个模型都使用其特定的架构。

B |          谷歌 DeepMind 团队为此提出 GenCeption 模型方案，尝试将一个“生成视频”的 AI 模型逆向改造成一个能“理解世界”的视觉分析引擎。         GenCeption 打破了传统计算机视觉“一个任务一个专用模型”的格局，仅凭单一模型就能同时做好深度估计、图像分割、3D 姿态估计、表面法线预测和相机姿态估计等核心视觉任务。         GenCeption 基于阿里巴巴开源视频模型通义万相 Wan2.1 系列训练，与传统扩散模型需多步去噪不同，GenCeption 在一次前向传播中完成预测，从而提升视觉任务处理速度。模型通过文本提示指定任务，可输出深度图、表面法线图、分割掩码，并可处理相机运动表示。         训练数据以合成为主。

C | 论文称，数据集仅包含 7500 段视频，由 800 个数字人体模型与 200 段动作捕捉序列组合生成，再通过 Blender 在不同背景和镜头角度下渲染。         泛化方面，GenCeption 几乎只在单人合成视频上训练，但可处理真实多人视频，也可迁移到动物和类人机器人类别。论文称，部分输出细节甚至超过训练时 Blender 渲染结果，可保留猫胡须和单根发丝边缘。         性能方面，论文给出两组处理时间数据：小模型处理 81 帧视频约需 6 秒；大模型参数量为 140 亿，处理同样长度视频约需 10 秒。         参考。

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