搜索结果: 121-135 共查到“国际动态 人工智能”相关记录434条 . 查询时间(2.234 秒)
One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each new model. Neu...
Native speakers often dominate the discussion in multilingual online meetings, but adding an automated participant that periodically interrupts the conversation can help nonnative speakers get a word ...
MIT researchers develop an AI model that can detect future lung cancer risk（图）
人工智能模型 检测肺癌风险 深度学习
2023/6/20
The name Sybil has its origins in the oracles of Ancient Greece, also known as sibyls: feminine figures who were relied upon to relay divine knowledge of the unseen and the omnipotent past, present, a...
人工智能利用彩色眼底照片预测视力丧失和中风风险
人工智能 彩色眼底照片 视力丧失 中风风险
2024/1/23
视网膜静脉阻塞（RVO）是世界上第二大常见的视网膜血管疾病，由血栓阻塞视网膜静脉系统引发。如果诊断太迟或未能及时治疗，会导致患者视力严重下降、视物变形，甚至失明。
Using artificial intelligence, Cornell engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5) – the soot, dust and exhaust emitted by trucks and ...
A novel combination of artificial intelligence and production techniques could change the future of nanomedicine, according to Cornell researchers using a new $3 million grant from the National Scienc...
When deep learning models are deployed in the real world, perhaps to detect financial fraud from credit card activity or identify cancer in medical images, they are often able to outperform humans.
虚张声势 舍车保帅 人工智能使“计”击败人类游戏玩家
人工智能 游戏玩家 西洋陆军棋
2023/1/3
据英国《新科学家》网站的报道，总部位于英国的“深度思维”公司研发的新人工智能“DeepNash”（深度纳什）学会了在“西洋陆军棋”（Stratego）游戏中，使用虚张声势等欺骗手段来击败人类对手。在与专业人类玩家进行的50场排名赛中，“深度纳什”得胜率为84%，跻身前三名。相关研究刊发于最新一期《科学》杂志。
2022年12月18日，由中国科学院软件研究所主办的“群智杯”国际集群智能算法挑战赛启动仪式在线上成功举行。来自全国多所知名高校、科研机构的参赛代表200多人,在线上共同见证了挑战赛启动的重要时刻。中国科学院科技促进发展局副局长武斌出席了启动仪式。
Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics（图）
机器学习 自然灾害 顺序采样技术
2023/6/26
Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequentia...
It’s no secret that people harbor biases — some unconscious, perhaps, and others painfully overt. The average person might suppose that computers — machines typically made of plastic, steel, glass, si...
第五届“互联网+”制造与服务运营管理国际学术研讨会成功召开
“互联网+” 服务运营 智能系统
2023/4/10
2022年11月19—20日，第五届“互联网+”制造与服务运营管理国际学术研讨会以腾讯会议方式在线上顺利举行。本次研讨会由教育部“互联网+”物流与供应链管理学科创新引智培育基地（111培育基地）主任、辽宁省智能科学与智能系统重点实验室主任、东北大学未来制造与服务智能分析决策国际研究中心主任、东北大学东北大学信息科学与工程学院人工智能系主任黄敏教授团队主办。本次研讨会旨在为来自海内外的专家和学者创建...
As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers are struggling to keep up.
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs（图）
GPU 流水线 大型图形 深度学习
2023/6/20
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
