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Inflation held steady in September, running hotter than expected_我的网站

A |     以标杆引领推动制造业企业数智化转型我省启动“人工智能+制造”典型案例征集日报讯（记者米彦泽）8月18日至25日，省开展“人工智能+制造”典型案例征集工作，将遴选一批技术先进、成效显著、可复制推广的制造业领域人工智能应用典型案例，通过标杆引领，推动制造业企业数智化转型。

B | 省工信厅相关负责人介绍，本次案例征集主要面向人工智能+钢铁、人工智能+化工、人工智能+生物医药等10个方向。申报案例应聚焦应用场景实际需求和所解决的重点问题，已落地并取得成效，具有引领作用，充分体现人工智能技术与行业深度融合，推动降本、增效、提质、减排等实际价值。

C |     Consumer prices rose 3.7% in September compared to a year ago, holding steady from the previous month and running hotter than economists had expected.While inflation has fallen significantly from a peak of about 9% last summer, price increases remain more than a percentage point higher than the Fed's inflation target.The data arrives roughly three weeks before the Fed plans to make its latest rate-hike decision. Last month, the Fed left its benchmark interest rate unchanged, noting that it expects to raise rates one more time this year.Increases in housing and gasoline prices made up the largest contributors to price movement last month, government data showed.The stubbornness of the price hike data held true for a separate key metric, core inflation, which strips out volatile food and energy prices.Core inflation rose 4.1% in September compared to a year ago, matching the rate demonstrated over the previous month.Despite hotter-than-expected annual inflation, the report holds some good news for the performance of price hikes last month.Consumer prices increased a significant 0.4% in September compared to the previous month, a marked slowdown from the month-over-month inflation rate in August, according to the data released on Thursday by the Bureau of Labor Statistics.Mixed signals from the economy in recent weeks have complicated the Fed's effort to bring down inflation while averting a recession, an outcome known as a "soft landing."A rapid rise in U.S. government bond yields over recent weeks has elevated borrowing costs for consumers seeking mortgage loans and corporations pursuing funds to expand their business. The jump in borrowing expenses threatens to slow economic activity in the coming months.However, a blockbuster jobs report on Friday showed that employers added 336,000 jobs in September, exceeding economist expectations by nearly twofold and reversing a monthslong hiring slowdown.The unemployment rate held steady at 3.8%, a historically low figure, government data showed.The robust hiring suggests that businesses remain willing to add workers, despite an aggressive series of interest rate hikes over the past year.The good economic news may pose a difficulty for the Federal Reserve, however, as it tries to cool the economy and slow down price increases.While the breakneck hiring could alarm central bankers, a simultaneous moderation of wage growth shown by the hiring data could alleviate fears of upward pressure placed on prices in the event of a sharp rise in worker pay.Wages increased 4.2% on an annual basis last month, exceeding the inflation rate but falling well below the 6% pace recorded in March, data showed.Despite significant progress over the past year, the Fed remains far from its target inflation rate, Fed Chair Jerome Powell said at a press conference in Washington, D.C., last month."The process of getting inflation sustainably down to 2% has a long way to go," Powell said."Given how far we have come, we're in a position to proceed carefully as we assess the incoming data and the evolving outlook and risks," Powell added.。在人工智能+钢铁方向，省聚焦钢铁全流程智能化升级，征集高炉转炉智能冶炼与工艺参数自适应优化、钢材表面缺陷智能检测与质量溯源、核心设备预测性维护与健康管理等典型场景。

D | 在人工智能+化工方向，申报案例应聚焦化工行业提质增效与安全管控，如核心工艺流程自适应优化、安全生产智能监测预警、关键设备预测性维护与故障诊断、智慧园区一体化智能管控等典型场景。人工智能+生物医药方向，聚焦医药研发与生产全链条智能化，包括但不限于创新药物分子智能筛选与优化、药物合成路径智能规划、小分子创新药物研发、注射剂智能密封性检测等典型场景。在人工智能+食品方向，省聚焦粮油加工、乳制品、酿酒等食品行业质量安全与高效生产，征集食品生产智能监控与全链条溯源、原料供应智慧管理、生产工艺参数智能调优、精准配料动态调控、多模态安全生产智能监测等典型场景。

E | 人工智能+新能源和智能网联汽车方向，申报主体可聚焦汽车全链条智能化升级，申报车身造型与结构智能设计仿真、柔性产线智能重构与生产调度、零部件与整车质量智能检测、智能座舱与智能驾驶辅助技术应用等典型场景。在人工智能+电子信息方向，省聚焦电子信息产业高端化智能化发展，征集电子元器件虚拟仿真与智能设计、显示面板/半导体缺陷智能检测、生产工艺参数智能优化、产品良率智能预测与提升、封装测试智能化管控等典型场景。人工智能+轻工纺织方向，申报主体可申报消费热点智能研判响应、面料纹样智能设计、3D虚拟试衣仿真、柔性产线智能排产、多产线协同排产与仓储智能调度等典型场景。在人工智能+机器人方向，申报案例应聚焦机器人技术与制造场景深度融合，包括但不限于大模型赋能机器人环境感知与任务规划、工业焊接机器人智能作业、柔性装配机器人精准操作、特种巡检机器人场景应用、具身智能机器人工业场景落地等典型场景。人工智能+产业集群方向，产业大脑建设与服务升级、“产业大脑+共享工厂”融合应用、行业大模型与数据集落地集群、“共享智造”关键环节与核心生产工艺AI应用等典型场景均可申报。在其他行业领域，省主要征集人工智能在建材、机械装备、软件和信息技术服务、民爆及安全应急等行业的创新应用，如建材窑炉煅烧智能控制、机械装备智能设计仿真、工业软件智能开发运维、民爆产品智能生产与仓储、重大安全风险智能监测预警等典型场景。

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