特溫特大學

特溫特大學(英文：University of Twente)，簡稱UT，是一所享譽歐洲的頂尖工科大學，也是歐洲創新型大學聯盟成員之一。同時它是荷蘭四大頂尖理工大學聯盟4TU(另三所為代爾夫特理工大學、埃因霍芬大學和瓦赫寧根大學及研究中心)之一，世界排名前2%。它位于荷蘭中東部城市Enschede，靠近德國邊境。

　特溫特大學申請條件

1、本科：申請人必須完成高中或同等學歷，高中平均成績在75分以上。

2、碩士：申請者需要完成四年制大學全部課程，并獲得學士學位證書，在校成績均分需達75分以上，擁有雅思5.5分或托福成績80分，如果學生的語言成績不符合學校的要求，必須先就讀大學的語言班。

　特溫特大學院系專業

行為科學學院 (Behavioural Sciences)

經營與管理學院 (School of Management and Governance)

科學與技術學院 (Science and Technology)

電子工程，數學和計算機工程學院 (Electrical Engineering, Mathematics and Computer Science)

工程技術技術學院 (Engineering Technology)

地理信息科學和地球觀測學院 (International Institute for Geo-Information Science and Earth Observation)

特溫特大學原有10個系(6個工程技術類系和4個社會管理類系) ，后參照美式大學結構進行重組整合為5個學院(3個工程技術向學院和2個行為管理向學院) ，以及后并入的第6學院 (ITC)，組成當前特溫特大學的六大學院。

熱門專業：工商管理、金融工程、環境和能源管理、計算機通信、教育科學技術。

特溫特大學留學優勢

特溫特大學擁有全荷蘭唯一的美式校園，教學樓、實驗室、宿舍、餐廳和體育館等都集中在同一片區域。校園附件是一大片森林，還有一個馬術訓練場，特溫特大學學生可以享受非常優惠的上課價格。

與荷蘭另外兩所理工大學不同，特溫特大學并不明確拒絕非211院校學生申請，但學校近年來對中國學生的本科院校背景越來越看重，已經有非常嚴重的211傾向，非211院校的同學們且行且珍惜。

特溫特大學位于荷蘭最東部城市Enschede，生活成本相較荷蘭其他大城市低一些，主要是因為房租便宜。而且Enschede距離德國很近，坐飛機時如果從德國法蘭克福、杜塞爾多夫起飛的機票更便宜，從Enschede過去更方便。

留學建議

申請材料需要準備齊全：

1、高中畢業證及相應英文公證件(如大學在讀，需出具中英文的“大學在讀證明”)。

2、中英文高考成績(如大學在讀，需出具截止到申請日的中英文成績單)。

3、護照復印件。

4、護照照片。

5、荷蘭本科留學入學申請表。

6、語言考試成績單(雅思或托福)。

希望智課選校帝整理的內容對您有所幫助。了解更多出國留學相關信息及最新動態盡在智課選校帝，能給各位留學的學子們指點迷津是我們的動力，祝大家學習進步，一切如意。

星星點點的草地

林中小徑

林中小徑

祥和的時光

林中小徑

層疊景觀

陽光透過樹林

學校操場

小花

小花

小花

教學樓

自行陳

學生養的寵物

小樹林

校慶標示

校警用車

教工宿舍

教工宿舍后院

知道什么樹嗎？

星星點點的草地

湖邊的長椅是否讓你想起誰？

劃過天空的白練，讓我思緒高飛

你以為是工廠的煙囪？你錯了

詩情畫意的排水溝

靜靜流淌的時光

這里的路在擴建

平靜的午后

公交車站，孤零零的小自行

小荷才露尖尖角

這個是什么？有點遠看不清

葉子黃了

夏秋交界的時節

寧靜的周末

寧靜的校園

靜得不忍心靠近

人工沙灘，歐創意哦

這么粗的樹，估計比我年齡大

遠望

穿越地平線

取水設施，技術與傳統的結合

這個地方我也搞不懂

小情侶

是修行者？思想者？

鬧騰的大鵝

時光在此凝固

教授的一家三口

美極了的水中效果

校旗

這是什么花？我可不認識

再來一張

總是讓我想起家鄉的田野

像喇叭花嗎？原諒我的審美吧

柳絮飄飛的時節，小時候喜歡折一些變成草帽戴在頭上

貓這么干凈，其實沒人洗，只能用環境來解釋了

生命的旺盛不屈

湛藍的天空

柳絮飄搖

天高云淡，大聲吼叫吧

虛化的拍攝手法特別吧？

新冠疫情給世界帶來了巨大的損失，傳統意義上的智慧城市在新冠的沖擊下潰不成軍，似乎人工智能、智慧城市、大數據、基因編輯等概念潰不成軍。他山石獨家專家、硅谷精神布道師皮埃羅、硅谷人工智能研究院院長皮埃羅·斯加魯菲教授提出智慧城市2.0概念 - 走向一個智慧安全城市建設的時代。

皮埃羅·斯加魯菲

硅谷精神布道師

硅谷人工智能研究院創立者兼院長

《硅谷百年史》、《人類2.0》、《智能的本質》等書作者

以下為文章全文，作者：皮埃羅·斯加魯菲

當前的新冠肺炎疫情突顯出我們的城市對自然疾病或人為生物恐怖主義的準備不足。人口在各城市、國家和大洲之間的流動速度越來越快，在大城市的集中度越來越高，幾乎可以肯定，未來致命的病毒一旦出現就會迅速傳播，這將成為人類生命和經濟發展的最大威脅之一。

The current Covid-19 emergency has highlighted how unprepared our cities are for cases of natural or human-made bioterrorism. The increased and faster movement of people across cities, countries and continents, and their increasing concentration in big cities, make it all but certain that deadly viruses will emerge and spread rapidly in the future and will become one of the biggest threats to lives and economies.

隨著信息和通信技術的發展，我們的城市已經變得“智能”，但現在也需要變得“安全”。當一座城市處于封鎖狀態時，所有的緊急活動都可以換成機器人來運行處理，理想情況下，還包括處理許多日常事務。機器人不會被感染，一天24小時工作，而且可以無限制造。

Our cities have become “smart” with the injection of information and communication technologies, but now they need to become also “safe”. When a city goes under lockdown, all the emergency activities could be run by robots, as well as, ideally, many daily routines. Robots don't get infected, work 24 hours a day, and can be made in an unlimited number.

通過對合適的機器人進行開發及互聯可以實現此目標。

This goal can be achieved with the development and interconnection of appropriate robots.

可以擴建醫院、為被隔離的病人

建造臨時住所的機器人

Robots that can expand hospitals as well as build temporary housing for quarantined patients.

建筑業（一個價值10萬億美元的全球產業）是依賴密集的勞動力、自動化程度最低的行業之一。根據2017年麥肯錫的研究報告《重塑建筑業》（Reinventing Construction）顯示，2005至2015年間，建筑業數字化滲透的年平均增長率僅為4%，是所有行業中增速最低的行業之一。

The construction industry (a $10 trillion global industry) is one of the least automated industries that depend on manual-intensive labor. According to the McKinsey report “Reinventing Construction” (2017), between 2005 to 2015 the construction industry posted an average year-over-year growth in digitization of 4%, one of the lowest of any industry.

施工現場通常是機器人自動化的主要障礙。在沒有主要障礙的地方，建筑機器人已經在進行作業了。例如，阿姆斯特丹2018年使用機器人建造出了世界上第一座3D打印鋼橋。在施工現場存在主要障礙的地方，可以使用遙控機器人。按需建造大型建筑的機器人并不存在，但我們相信所需的技術已經足夠成熟。機器人和3D打印的結合特別具有吸引力，在過去的幾年中，一些初創公司已經嘗試過這種結合?？刂?D打印機的移動機械臂已經面世：它們遵循設計師提供的指令，對整棟建筑進行3D打印。

The construction worksite is generally the primary obstacle to robotic automation. Where this is not a major issue, construction robots already operate. Amsterdam, for example, in 2018 used robots to build the first ever 3D-printed bridge. Where the construction site is a major obstacle, remote-controlled robots can be employed. Robots that can build large buildings on demand don’t exist but we believe that the required technologies are mature enough. The combination of robots and 3D-printing is particularly attractive. This combination has been experimented by a few startups over the last few years. Mobile robotic arms that control a 3D-printer are already available: they follow the instructions provided by the designer and 3D-print an entire building.

08年荷蘭建造的世界首個3D打印鋼橋初亮相

30人同時上橋沒問題

到目前為止，這些都屬于靜態機器人，它們還不能運輸和安裝結構。如果我們想要取代施工現場中的人員，讓機器人運輸和安裝結構就是下一步需要做的事。

So far these are static robots that cannot transport the structure and install it next to other structures. That is the next step if we want to remove the human presence in the construction site.

我們還需要取消人工監督員，這可以通過網真技術實現，使用無人機航拍圖像來生成建筑工地的3D地圖（就像總部位于舊金山的Skycatch公司為日本小松集團所定制生產的無人機那樣）。自2017年圣羅莎火災和2018年天堂鎮大火摧毀了整個城鎮以來，迫切需要為數千人立即建造新的住房，加利福尼亞州一直致力于建筑機器人的研究，而皮埃羅所創建的硅谷人工智能研究院也一起參與了此類研究。

We also need to remove the presence of human supervisors and this can be done via telepresence, using drones to generated 3D maps of construction sites (like San Francisco-based Skycatch does for Japan’s Komatsu). The state of California has been studied robotic construction since the fires of Santa Rosa (2017) and Paradise (2018) that destroyed entire towns, therefore creating the need for immediate construction of new housing for thousands of people. We have been involved in such studies with the state of California.

可以取代醫院護士和醫生的機器人

Robots that can replace nurses and doctors in hospitals.

這樣的需求已經存在——據美國勞工統計局（U.S. Bureau of Labor Statistics）估計，對護士崗位需求的增長速度已經快于大多數工作崗位。2018年，美國退伍軍人事務部（U.S. Department of Veterans Affairs）發現，96%的診所不止一次出現了“嚴重”的職業短缺現象。一些國家未來面臨著老年人口增加，而護理人員卻不足的情況。

The demand was already there: the U.S. Bureau of Labor Statistics estimates that jobs for nurses are already growing faster than most jobs, and in 2018 the U.S. Department of Veterans Affairs found that 96 percent of its clinics reported at least one “severe” occupational shortage. Several countries face a future of an increasing elderly population paired with an insufficient amount of healthcare workers able to care for it.

幸運的是，用于醫院護士自動化的“護士機器人”已經在醫院中投入使用，其技能也在不斷提高。我們估計，2019年像Moxi（由Diligent Robotics設計）、YuMi（由瑞士ABB集團制造）和TUG（由Aethon制造）這樣的護士機器人可以完成30%的不涉及與患者互動的任務。它們主要是做些跑腿的活，比如給患者送藥和食物托盤、采集血液和尿液樣本并將樣本送到實驗室、更換床單、裝卸離心機等，當然還包括對地板進行吸塵和清洗。這些護士機器人都配有內置的地圖和傳感器，可以在醫院大廳中進行導航，而且它們能與電梯、警報器和自動門進行無線通信。

Luckily, “nursebots” for hospital nurse automation are already employed in hospitals and their skills are improving. In 2019 we estimate that nursebots like Moxi (designed by Diligent Robotics), YuMi (made in Switzerland by ABB) and Tug (made by Aethon) could take care of 30% of the tasks that don’t involve interacting with patients, mostly running errands around the floor like delivering medications and food trays to patients, picking up blood and urine samples and dropping off specimens to the laboratory, replacing linens, loading and unload centrifuges, and of course vacuuming and washing floors. They are equipped with a built-in map and sensors to navigate hospital halls, and they communicate wirelessly with elevators, alarms and automatic doors.

YuMi護士機器人

較大型的機器人（如日本理研和住友理工實驗室開發的廣為人知的RIBA“熊型機器人”）或外骨骼機器人（如加州大學伯克利分校的機器人與人體工程學實驗室，尤其是奧斯汀項目，以及斯坦福大學的實驗室設計的外骨骼機器人）可以用來移動患者。

Larger robotic machines (like the well-publicized RIBA “bear” robot developed by Riken and Sumitomo Riko Labs in Japan) and/or exoskeletons (such as the ones designed by UC Berkeley’s Human Engineering and Robotics Laboratory, in particular the Austin project, and by Stanford’s Biomechatronics Laboratory) can be used to move patients around.

像Pepper和Dinsow等熱門機器人已經可以為患者提供指導，并幫助他們進行自我護理（鍛煉和服藥）。

Popular robots like Pepper and Dinsow already provide patient education and assist them in self-care (exercise and take medicines).

由VGo和Suitable技術公司（或日本Kokoro公司的類人機器人Actroid）制造的遠端臨場機器人（Telepresence Robots）可以遠程復制醫生。

Telepresence robots made by VGo and Suitable Technologies (or the humanoid Kokoro’s Actroids) can replicate a doctor in a distant location.

2019年11月，一家新醫院在斯坦福大學開業，配備了23臺送貨機器人（負責送洗衣服和倒垃圾等雜務）和3臺藥劑師機器人（負責藥品庫存和自動生成新藥品訂單等事務）。

In November 2019 a new hospital opened at Stanford with 23 delivery robots (for chores such as delivering laundry and taking out the trash) and 3 pharmacist robots (for chores like inventory of drugs and automatically generating new orders of drugs).

自2011年以來，加州大學舊金山分校一直在測試一家機器人藥房，里面的機器人負責計數和處理藥物，所有這些機器人都只是做不需要與人類互動的家務。下一步是為患者配備能與機器人進行無線通信的可穿戴設備，這將協調人類患者和機器人之間進行互動。

Since 2011 UC San Francisco has been testing a robotic pharmacy where robots count and process medications. All these robots are limited to chores that don’t require interaction with humans. The next step is to equip patients with wearables that communicate wirelessly with the robots. The wearables will mediate the interaction between human patients and robots.

可以向自我隔離的人運送食物和藥品的機器人和無人機

Robots and drones to deliver food and medicines to self-quarantined people.

這是一項相對容易實施的技術，但需要對倉庫、家庭及政府政策進行整合。

This is a relatively easy technology to implement but needs to integrate warehouses, households, and government policies.

京東無人機運送物資

探測并中和建筑物內生物有機體的機器人

Robots to detect and neutralize biological organisms in buildings.

隨著病原體抵抗最新的抗生素和消毒劑而產生變異，對抗醫院獲得性感染（HAI）的戰爭持續升溫。

Hospital-acquired infection (HAI) front, but the war wages on as pathogens mutate to resist the latest antibiotics and disinfectants.

醫院獲得性感染是一個嚴重的問題。根據美國疾病控制和預防中心（CDC）的數據，一項對急性護理醫院的調查發現，每天每25名患者中就有1例醫院獲得性感染，每年有7.5萬人死于醫院獲得性感染。

HAIs are a significant problem. According to the U.S. Centers for Disease Control and Prevention (CDC), a survey of acute care hospitals found 1 in 25 hospital patients has at least 1 HAI on any given day and that 75,000 deaths per year are due to HAIs.

紫外線消毒機器人是微生物脫敏設備的“領先者”，也可用于郵政快遞車輛和醫療器械的消毒以及輔助生活和長期護理設施的消毒。

Leader in microbial desensitizing devices, UV-Disinfectant robots can also be used to sanitize EMS vehicles and medicopters, as well as in assisted living and extended care facilities.

紫外線消毒機器人可以給整個房間提供醫院級別的消毒，療養院、野戰醫院和生物危險區都可以在幾分鐘內消毒完畢。

UV disinfection robots offer hospital grade full-room sterilization. Nursing homes, field hospitals, and biohazard zones could all be sanitized in a matter of minutes.

這些機器人消毒速度快、效率高，清除細菌的能力遠遠超過人類。它們可以四處走動、攻擊陰暗的區域，而這樣的區域往往存在許多有害生物，經常容易被消毒小組遺漏。

The robots are fast and efficient, able to eliminate far more bacteria than humanly possible. Their ability to move around enables them to attack shadowed areas where many harmful organisms tend to manifest in places that are often missed by sanitization teams.

新加坡uv紫外線消毒機器人自動消毒中請

按需種植糧食的機器人

Robots to grow food on demand.

2019年，硅谷初創公司Iron Ox開始銷售其機器人農場種植的產品，這種農場只需一英畝土地就可以實現相當于30英畝傳統農業面積的生產力，而且就位于售賣產品的超市附近。

In 2019 Silicon Valley startup Iron Ox started selling the produce grown in its robotic farm that can achieve the equivalent of 30 acres of traditional farming in just a single acre, and an acre located very near the supermarket where it is sold.

得益于“農場機器人”（包括播種機器人、收割機器人、除草機器人），荷蘭在2019年成為僅次于美國的世界第二大食品出口國。諸如加州開源項目Farm.bot使用的遠程控制應用程序可以讓人類遠程控制園藝操作。

Thanks to its “farm-bots” (including sowing robots, harvester robots, weedeater robots), in 2019 the Netherlands became to the world’s second-biggest food exporter after the USA. Remote-control apps like the one used by the open-source California project Farm.bot could allow humans to control the gardening operations from a distance.

結合生物工程食品，機器人農場的生產力可能更高，甚至可以生產出更健康的食品。2019年，快餐連鎖店漢堡王（Burger King）在其菜單中添加了一種由硅谷初創公司Impossible Foods生產的植物性漢堡，具有肉類的味道。向生產素肉的轉變還有一個額外的好處，那就是不僅將減少溫室氣體排放、還能減少對高達95%的水及土地的使用。

Combined with bioengineered food, the robotic farm could be even more productive, and produce even healthier food than we produce today. In 2019 the fast-food chain Burger King added to its menu a plant-based burger made by Silicon Valley startup Impossible Foods with a bioengineered taste of meat. The shift to cultured meat has the additional advantage of reducing greenhouse-gas emissions and of decreasing the use of water and land by as much as 95%.

診斷疾病的機器人

Robots to diagnose diseases.

從早期開始，流行病學就一直是機器學習的目標，因為流行病學是關于識別模式的。

Epidemiology has been a target for machine learning since the early days because epidemiology is about recognizing patterns.

2019年，佐治亞大學公布了其使用系統“隨機森林”來識別沙門氏菌爆發來源的結果。2018年，谷歌發布了使用“Finder”后令人振奮的成果，“Finder”是一種機器學習系統，用于實時檢測食源性疾病。最大的成功案例是AIME（醫學流行病學中的人工智能，奇點大學的一個分支機構）于2018年部署的系統，用于應對馬來西亞登革熱的暴發，準確預測率接近85%。加拿大健康監測平臺Bluedot在2016年正確預測了南佛羅里達州寨卡病毒的爆發地點，并在2020年1月僅通過核查航空票務數據就正確預測了新冠肺炎會從武漢跳至泰國、臺灣、韓國和日本。

In 2019 the University of Georgia published the results of using their system Random Forest to identify the source of Salmonella outbreaks. In 2018 Google published the promising results of using “Finder”, a machine-learning system for real-time detection of foodborne illness. The biggest success story has been the system by AIME (Artificial Intelligence in Medical Epidemiology, a spinoff of the Singularity University) which was deployed in 2018 against outbreaks of dengue fever in Malaysia with a nearly 85% accurate prediction rate. The Canadian health monitoring platform Bluedot in 2016 correctly predicted the location of the Zika outbreak in South Florida and in January 2020 correctly predicted that Covid-19 would jump from Wuhan to Thailand, Taiwan, Korea and Japan simply by checking airline ticketing data.

Bluedot預測疫情擴散圖

通過將自然語言處理、基因數據庫和機器學習相結合，我們可以建立一個掃描社交媒體和本地新聞的系統，以識別疑似流行病，然后確定其源頭。就在新冠肺炎疫情爆發前幾個月，《公共衛生與緊急事件》（Journal of Public Health and Emergency）雜志出版了一期特刊（2019年6月，第3卷），介紹了數字工具在傳染病流行病學中，特別是針對非典（SARS）和中東呼吸綜合征（MERS）等病例的使用。

By combining natural-language processing, genetic databases and machine learning, we could build a system that scans social media and local news to identify suspected epidemics and then identify the source. Just a few months before the Covid-19 outbreak, the Journal of Public Health and Emergency devoted a special issue (Vol 3, June 2019) to the use of digital tools for infectious disease epidemiology, specifically for cases such as SARS and MERS.

實時生物傳感器

Real-time biosensors.

為了遏制流行病的蔓延，各城市需要在醫院和急診室快速篩查出患病人員，但目前可用的檢測病毒的方法既費力又緩慢。

In order to contain the spreading of an epidemic, cities need to quickly screen people at hospitals and emergency clinics but currently available methods to detect viruses are laborious and slow.

令人欣慰的是，斯坦福大學及荷蘭特溫特大學等高校正在開發超靈敏的實時生物傳感器，可以將其用于手持設備或可穿戴設備中以檢測人員是否感染，并在短短幾分鐘內甚至實時測量感染濃度。

Luckily, universities such as Stanford University and University of Twente in the Netherlands are developing ultrasensitive real-time biosensors that could potentially be used in a handheld device or in a wearable device to detect infections and measure their concentration in just a few minutes or even in real time.

便攜式生物傳感器提供生理學上與健康相關方面的頻繁測量，以監測人類在各種活動期間的生理變化及其在管理健康以及診斷和分析疾病中的潛在作用。皮埃羅創立的硅谷人工智能研究院在2019年參加了斯坦福生物傳感器研討會，會上介紹并討論了幾種用于無創性生物傳感的可穿戴式電化學設備。

A wave of portable biosensors already provides frequent measurement of health-related physiology to monitor human physiological changes during various activities and their potential role in managing health and diagnosing and analyzing disease. We attended the Stanford Biosensor Workshop of 2019 where several wearable electrochemical devices for noninvasive biosensing were presented and discussed.

可以封鎖感染區域的機器人

Robots to cordon off infected areas.

這可能是該系統最簡單的組成部分，因為在規定不能有人活動的社區，自動駕駛和遠程控制的車輛很容易進行作業。

This is probably the easiest component of the system, as self-driving and remote-controlled vehicles would be easy to implement in neighborhoods that are supposed to be free of humans.

區塊鏈技術保障機器人交互安全性

Use blockchain to control robot interactions and make sure they don't get hijacked.

使用區塊鏈控制機器人交互，并確保它們不被劫持。這些機器人需要被信任。信任問題是區塊鏈技術的核心。

These robots need to be trusted. The issue of trust is at the core of blockchain technology.

機器人之間的交互可被視為“智能合約”，而控制兩個機器人已執行其聯合任務的過程可被視為驗證合約是否已正確執行的依據。

Interaction among robots can be viewed as “smart contracts” and controlling that two robots have performed their joint tasks can be viewed as verifying that a contract has been properly executed.

2019年12月，在麻省理工學院舉行的機器人系統區塊鏈研討會上討論了這些技術問題。整個系統代表著一個需要繁雜的區塊鏈協議的“復雜的自適應系統”。

The technicalities were discussed at the MIT’s Symposium on Blockchain for Robotic Systems in December 2019. The whole system represents a “complex adaptive system” that will require a sophisticated blockchain protocol.

我們希望根據新加坡科技設計大學在2018年推出的用于區塊鏈安全的Presto框架來設計和驗證網絡協議——最優性：協議是否能實現其主要目標？穩定性：參與機構的激勵措施是否協調一致？效率：相對于資源的使用，它的產出是最大的嗎？穩健性：當其運營假設無效或受到干擾時，它能應對嗎？持續性：它能從災難性事件中恢復嗎？

We want to design and validate the networking protocol according to the PRESTO framework for blockchain security introduced in 2018 by the Singapore University of Technology and Design. Optimality: does the protocol achieve its main goals? Stability: are the incentives of its participating agents well-aligned? Efficiency: is its output maximal relative to its use of resources? Robustness: can it cope when its operational assumptions are invalid or perturbed? Persistence: can it recover from catastrophic events?

可行的合作模式

這項計劃的實施可以通過多種方式來實現。以下是一些合作模式。

The implementation of this program can be achieved in many ways. Here are some models of cooperation.

1. 在硅谷或香港設立投資基金，用于投資開發此類機器人的機器人初創公司，并為新興科技公司尋找商業發展機會，使其能夠在流行病威脅突然爆發的情況下協助隔離、消毒、運送和醫療援助（我們樂觀地認為，美國將取消對諸如此類人道主義目標投資的任何限制）。

An investment fund in Silicon Valley or in Hong Kong to invest in robotic startups that develop such robots, and to identify business development opportunities for emerging technology companies able to assist with quarantine, disinfection, delivery and medical assistance in situations of sudden outbreak of pandemic threat. (We are optimistic that the USA would lift any restrictions to an investment with humanitarian goals like this one).

投資者得到的是：可以完全使用這項技術，如果這些初創公司能賺錢，還可以獲得一定比例的提成。比方說，北京投資我們的基金，北京就獲得了進入該基金投資的所有初創企業的特權。北京能獲得該基金的一部分利潤，能使用這些初創企業開發的機器人，也可以在有利的條件下將專有技術轉讓給中國初創企業。

What investors get: full access to the technology and a % if these startups make money. Let's say that Beijing invests in our fund. Beijing gets privileged access to all the startups in which the fund invests. Beijing gets a % of the fund's profits. Beijing can either use the robots developed by these startups or transfer the know-how to Chinese startups under favorable conditions.

2. 在硅谷建立實驗室，開發這樣的機器人：內部開發，美國和中國初創企業成立合資企業、與大學合作等。城市可以派遣工程師、經理、企業家與硅谷和國際專家一起合作。實驗室將向每位參觀者收取適度的月費（包括住宿），并共同擁有實驗室開發的產品。參與者得到的是：他們的工程師幫助開發的產品的專有技術和共同所有權（與他們的貢獻成正比）。

Establishment of a laboratory in Silicon Valley for the development of such robots that will do: in-house development, joint ventures with US and Chinese startups, collaborations with universities, etc. Cities can send their engineers, managers, enterpreneurs to work with Silicon Valley and international specialists. The lab will charge a modest monthly fee for each visitor (including lodging) and co-own the products developed by the lab. What participants get: the know-how and co-ownership of the products that their engineers help develop (proportional to how much they contributed).

3.在香港設立這樣的實驗室。但其存在一定的缺點，例如獲取硅谷資源更加困難。

Establishment of such a laboratory in Hong Kong. Disadvantage: more difficult access to Silicon Valley resources.