欢迎光临散文网 会员登陆 & 注册

EPRO传感器PR9376/010-011/PR9268/200-000/PR6426/010-010+CON021/PR642

2022-04-25 21:12 作者:工控小魏18030177759  | 我要投稿

魏;1 8 0 3 0 1 7  77 5 9
EPRO传感器PR9376/010-011/PR9268/200-000/PR6426/010-010+CON021/PR6424/006-030+CON021/PR6424/003-030+CON021/PR6424/003-030/PR6423/10R-030-CN+CON021/PR6423/10R-030-CN

面对全球数字化、智能化浪潮,如何以智能制造重塑产业新优势、增添发展新动能?一方面,国家要加强创新的力度,引进和培养具有创新精神的高精尖人才,大幅提升我国智能制造水平;另一方面,要千方百计与国际接轨,加强行业之间的交流与沟通,互通有无,携手同赢。作为国内电子制造领域极具影响力的品质强展,每年一届的NEPCON China都会上演一场年度电子制造领域顶级盛宴。今年正值国内电子制造产业站上发展风口,产业智能化、自动化与工业化融合步伐日趋加快,新的行业范本和品牌翘楚不断涌现,这无疑会为NEPCON China展览提供了更加丰富的元素。将于4月24日-26日举办的第二十八届NEPCON China上海展,直面电子制造各个领域,在展区设置、观众邀约、高端峰会、贵宾服务各方面进行充分完善,力争让展会成为汇聚领先品牌、激发产业活力的优质平台特别值得一提的是,NEPCON China 2018首次开辟“电子智造梦工厂”展区,由传统的“SMT+自动化”两个环节构成。新展区致力于在展会现场首次连线业界新款智能制造设备,包括贴片设备、印刷设备、焊接设备、检测设备、自动化组装系统集成、机器人本体、智能料仓、AGV等,创新以“模拟生产+实际成产”的方式,呈现智慧工厂概念,以“智动”创造未来。众多自动化、工业软件、工业机器人等展商将集体亮相,与行业内各厂商一起,共同探讨智慧工厂的创新解决方案,助力电子产业中的智慧工厂落地开花。

EPRO传感器PR9376/010-011/PR9268/200-000/PR6426/010-010+CON021/PR6424/006-030+CON021/PR6424/003-030+CON021/PR6424/003-030/PR6423/10R-030-CN+CON021/PR6423/10R-030-CNEPRO传感器PR9376/010-011/PR9268/200-000/PR6426/010-010+CON021/PR6424/006-030+CON021/PR6424/003-030+CON021/PR6424/003-030/PR6423/10R-030-CN+CON021/PR6423/10R-030-CNEPRO传感器PR9376/010-011/PR9268/200-000/PR6426/010-010+CON021/PR6424/006-030+CON021/PR6424/003-030+CON021/PR6424/003-030/PR6423/10R-030-CN+CON021/PR6423/10R-030-CN

目前已确定YAMAHA、亚科晨旭、南京优倍、i-Stock、ERSA、OK international、Viscom、Mirtec、EtherCAT等国内外智能制造知名公司参展NEPCON China展会。届时众展商将联袂上演“电子智造梦工厂”项目,为电子制造行业人士现场演示智慧工厂创新理念。行业大咖论道  重磅活动连场引领智造业有序发展


除了在现场参观和进行贸易洽谈,第二十八届NEPCON China上海展还高度关注智慧工厂的理论储备,特别准备了多场论坛峰会,邀请行业专家学者、展商和协会负责人、观众代表等深入探讨,共享产业前沿发展成果,引领制造行业健康有序发展。


在展会开幕当天,首场“智见未来-中国数字化制造高峰论坛”将率先与展商观众见面。本论坛由gongkong与NEPCON联合主办,依托双方在工业自动化及电子制造领域的权威优势及专业的用户资源,与业内厂商一起,直面我国智慧工厂发展现状,共同探讨智慧工厂的创新解决方案及工厂范例,为电子制造企业提供新思路,推动电子产业中的智慧工厂真正落地开花。

Can greatly reduce the energy consumption and speed up the kind of processor to achieve a higher level of intelligence of the brain will no doubt have a lot of help, but the real implementation class level general artificial intelligence, in addition to need such hardware foundation, the key is to understand the biological brain information for calculation, the class and learning algorithm of the brain. A common concern about this line of research is that neuroscience does not yet know enough about how the brain works, so can we develop effective brain-like algorithms? We can take some cues from deep neural networks, which are now enjoying widespread success. From the neurons connection mode to the training rules many ways, such as the depth of the real brain neural network distance network there is quite a distance, but in essence it draw lessons from the multi-layer structure of brain networks (i.e., the source of the word "depth"), and in the brain, 

EPRO传感器PR9376/010-011/PR9268/200-000/PR6426/010-010+CON021/PR642的评论 (共 条)

分享到微博请遵守国家法律