Since the dawn of human ingenuity,p

Since the dawn of human ingenuity,people have devised ever more cunning tools to cope with work that is dangerous, boring, onerous, or just plain nasty. That compulsion has culminated in robotics - the science of conferring various human capabilities on machines

[A] The modern world is increasingly populated by quasi-intelligent gizmos whose presence we barely notice but whose creeping ubiquity has removed much human drudgery. Our factories hum to the rhythm of robot assembly arms. Our banking is done at automated teller terminals that thank us with rote politeness for the transaction. Our subway trains are controlled by tireless robodrivers. Our mine shafts are dug by automated moles, and our nuclear accidents-such as those at Three Mile Island and Chernobyl-are cleaned up by robotic muckers fit to withstand radiation.
Such is the scope of uses envisioned by Karel Capek, the Czech playwright who coined the term 'robot' in 1920 (the word 'robota'means 'forced labor' in Czech). As progress accelerates, the experimental becomes the exploitable at record pace.

[B] Other innovations promise to extend the abilities of human operators. Thanks to the incessant miniaturisation of electronics and micromechanics, there are already robot systems that can perform some kinds of brain and bone surgery with submillimeter accuracy-far greater precision than highly skilled physicians can achieve with their hands alone. At the same time, techniques of long-distance control will keep people even farther from hazard. In 1994 a ten- foot-tall NASA robotic explorer called Dante, with video-camera eyes and with spiderlike legs,scrambled over the menacing rim of an Alaskan volcano while technicians 2,000 miles away in California watched the scene by satellite and controlled Dante's descent.

[C] But if robots are to reach the next stage of labour-saving utility, they will have to operate with less human supervision and be able tomake at least a few decisions for themselves-goals that pose a formidable challenge. 'While we know how to tell a robot to handle a specific error,' says one expert, 'we can't yet give a robot enough common sense to reliably interact with a dynamic world.' Indeed the quest for true artificial intelligence (AI) has produced very mixed results. Despite a spasm of initial optimism in the 1960s and 1970s, when it appeared that transistor circuits and microprocessors might be able to perform in the same way as the human brain by the 21 st century, researchers lately have extended their forecasts by decades if not centuries.

[D] What they found, in attempting to model thought, is that the human brain's roughly one hundred billion neurons are much more talented-and human perception far more complicated-than previously imagined. They have built robots that can recognise the misalignment of a machine panel by a fraction of a millimeter in a controlled factory environment. But the human mind can glimpse a rapidly changing scene and immediately disregard the 98 per cent that is irrelevant, instantaneously focusing on the woodchuck at the side of a winding forest road or the single suspicious face in a tumultuous crowd. The most advanced computer systems on Earth can't approach that kind of ability, and neuroscientists still don't know quite how we do it.

[E] Nonetheless, as information theorists, neuroscientists, and computer experts pool their talents, they are finding ways to get some lifelike intelligence from robots.
One method renounces the linear, logical structure of conventional electronic circuits in favour of the messy, ad hoc arrangement of a real brain's neurons. These 'neural networks' do not have to be programmed. They can 'teach' themselves by a system of feedback signals that reinforce electrical pathways that produced correct responses and, conversely, wipe out connections that produced errors. Eventually the net wires itself into a system that can pronounce certain words or distinguish certain shapes.

[F] In other areas researchers are struggling to fashion a more natural relationship between people and robots in the expectation that some day machines will take on some tasks now done by humans in, say, nursing homes.This is particularly important in Japan, where the percentage of elderly citizens is rapidly increasing. So experiments at the Science University of Tokyo have created a 'face robot' -a life-size, soft plastic model of a female head with a video camera imbedded in the left eye-as a prototype. The researchers' goal is to create robots that people feel comfortable around. They are concentrating on the face because they believe facial expressions are the most important way to transfer emotional messages. We read those messages by interpreting expressions to decide whether a person is happy, frightened, angry, or nervous. Thus the Japanese robot is designed to detect emotions in the person it is 'looking at' by sensing changes in the spatial arrangement of the person's eyes, nose, e

Kết quả (Việt) 1:

Kể từ khi bình minh của sự khéo léo của con người, những người đã nghĩ ra khôn ngoan hơn bao giờ hết công cụ để đối phó với công việc đó là nguy hiểm, nhàm chán, lựa chọn hợp lý, hoặc chỉ đơn giản khó chịu. Cưỡng bách đã lên đến đỉnh điểm trong robot - khoa học trao nhiều khả năng của con người trên máy [A] thế giới hiện đại ngày càng đông dân cư bởi quasi-minh xúc có sự hiện diện của chúng tôi hầu như không nhận thấy nhưng mà ubiquity leo đã loại bỏ nhiều drudgery của con người. Nhà máy chúng tôi hum đến nhịp điệu của robot lắp ráp cánh tay. Ngân hàng của chúng tôi được thực hiện tại nhà ga tự động teller cảm ơn chúng tôi với lòng lịch sự cho các giao dịch. Chúng tôi tàu ngầm được điều khiển bởi robodrivers không mệt mỏi. Trục mỏ của chúng tôi đang đào nốt ruồi tự động, và chúng tôi hạt nhân tai nạn chẳng hạn như những ở Three Mile Island và Chernobyl-được làm sạch lên bởi robot muckers phù hợp để chịu được bức xạ. Đó là phạm vi sử dụng hình dung bởi Karel Capek, nhà soạn kịch người Séc, người đặt ra thuật ngữ 'robot' năm 1920 (từ ' robota'means 'buộc phải lao động' trong tiếng Séc). Khi tiến trình tăng tốc, các thử nghiệm trở nên khai thác tốc độ kỷ lục.[B] Other innovations promise to extend the abilities of human operators. Thanks to the incessant miniaturisation of electronics and micromechanics, there are already robot systems that can perform some kinds of brain and bone surgery with submillimeter accuracy-far greater precision than highly skilled physicians can achieve with their hands alone. At the same time, techniques of long-distance control will keep people even farther from hazard. In 1994 a ten- foot-tall NASA robotic explorer called Dante, with video-camera eyes and with spiderlike legs,scrambled over the menacing rim of an Alaskan volcano while technicians 2,000 miles away in California watched the scene by satellite and controlled Dante's descent.[C] But if robots are to reach the next stage of labour-saving utility, they will have to operate with less human supervision and be able tomake at least a few decisions for themselves-goals that pose a formidable challenge. 'While we know how to tell a robot to handle a specific error,' says one expert, 'we can't yet give a robot enough common sense to reliably interact with a dynamic world.' Indeed the quest for true artificial intelligence (AI) has produced very mixed results. Despite a spasm of initial optimism in the 1960s and 1970s, when it appeared that transistor circuits and microprocessors might be able to perform in the same way as the human brain by the 21 st century, researchers lately have extended their forecasts by decades if not centuries.[D] What they found, in attempting to model thought, is that the human brain's roughly one hundred billion neurons are much more talented-and human perception far more complicated-than previously imagined. They have built robots that can recognise the misalignment of a machine panel by a fraction of a millimeter in a controlled factory environment. But the human mind can glimpse a rapidly changing scene and immediately disregard the 98 per cent that is irrelevant, instantaneously focusing on the woodchuck at the side of a winding forest road or the single suspicious face in a tumultuous crowd. The most advanced computer systems on Earth can't approach that kind of ability, and neuroscientists still don't know quite how we do it.[E] Nonetheless, as information theorists, neuroscientists, and computer experts pool their talents, they are finding ways to get some lifelike intelligence from robots. One method renounces the linear, logical structure of conventional electronic circuits in favour of the messy, ad hoc arrangement of a real brain's neurons. These 'neural networks' do not have to be programmed. They can 'teach' themselves by a system of feedback signals that reinforce electrical pathways that produced correct responses and, conversely, wipe out connections that produced errors. Eventually the net wires itself into a system that can pronounce certain words or distinguish certain shapes.[F] In other areas researchers are struggling to fashion a more natural relationship between people and robots in the expectation that some day machines will take on some tasks now done by humans in, say, nursing homes.This is particularly important in Japan, where the percentage of elderly citizens is rapidly increasing. So experiments at the Science University of Tokyo have created a 'face robot' -a life-size, soft plastic model of a female head with a video camera imbedded in the left eye-as a prototype. The researchers' goal is to create robots that people feel comfortable around. They are concentrating on the face because they believe facial expressions are the most important way to transfer emotional messages. We read those messages by interpreting expressions to decide whether a person is happy, frightened, angry, or nervous. Thus the Japanese robot is designed to detect emotions in the person it is 'looking at' by sensing changes in the spatial arrangement of the person's eyes, nose, e