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符合「AWS」新聞搜尋結果，共 950 篇，以下為 889 - 912 篇

產經商業

艾邁斯歐司朗與Energous攜手為農業感測應用開發無線供電多光譜感測解決方案

全球領先的光學解決方案供應商艾邁斯歐司朗（瑞士證券交易所股票代碼：AMS）與全球領先的無線供電網路射頻充電技術開發商Energous Corporation（NASDAQ: WATT）宣佈，雙方將聯手開發一款用於可控環境農業（CEA）和垂直農業的無線供電多光譜光感測器。該聯合解決方案基於艾邁斯歐司朗的AS7343多通道光譜感測器和Energous的WattUp PowerBridge發射器，將參展2023年1月5日至8日在拉斯維加斯舉行的CES 2023，屆時將在Energous展位進行現場展示。 Energous執行長Cesar Johnston表示：「如今，光感測器等物聯網設備已廣泛應用於可控環境農業和垂直農業等環境，由於這些設備使用可更換電池和電源線，可能會給部署帶來限制或增加部署難度，同時還需要手動維護電池。Energous的WattUp PowerBridge無線供電技術同時向多台設備提供可靠的電源，可實現更靈活的防水設計，並減輕供電負擔。」艾邁斯歐司朗是光學解決方案的領導者，提供優質光源、光學元器件和光感測器等產品。透過此次合作，艾邁斯歐司朗和Energous將共同開發一款無線供電的多光譜光感測器，幫助農業從業者優化照明解決方案，以獲得最佳產量。該感測器還將具有計算光合有效輻射（PAR）的能力。艾邁斯歐司朗副總裁暨AWS業務線總經理Wim Renirie表示：「垂直農業和可控環境農業的技術進步日新月異，採用無線供電感測器的需求也越來越大，將感測應用從電池中釋放。透過無線供電感測器，種植者能夠以更高效的方式來控制照明。藉著與Energous的合作，我們展示了這款多光譜光感測器解決方案的優勢，可以協助解決垂直農業等植物照明的電池問題，並提升效率。」如需瞭解更多有關艾邁斯歐司朗的資訊，請參閱：https://ams-osram.com。如需瞭解更多有關Energous的資訊，請參閱Energous.com或關注該公司在Twitter、Facebook和LinkedIn上的企業頁面。如需預約參觀Energous在CES 2023的展位和觀看無線供電多光譜光感測器的現場展示，請聯繫您的Energous業務代表或發送電子郵件至CES2023@energous.com。

文章來源 : APR 發表時間 : 2023/1/5 瀏覽次數 : 14593 加入收藏 :

大陸港澳

亞馬遜技術總監Werner Vogels：2023年及未來五大科技趨勢預測

香港 - Media OutReach - 2023年1月3日 - 隨著全球危機頻生，如何借助科技解決棘手問題至關重要。如今獲取數據的來源比以往更多，若能將穿戴式設備、醫療設備、環境感測器、影片錄製與擷取（video capture）和其他連網設備等數據，與電腦視覺、機器學習和模擬技術等雲端科技與應用結合，將對世界產生強大影響力。在2022 AWS re:Invent全球大會期間，亞馬遜技術總監Werner Vogels分享了以下五大全球趨勢的預測及觀察。預測一：雲端技術將革新以往所認知的運動賽事在未來幾年，數碼轉型將全面橫掃每項體育運動。受惠於雲端技術，體育賽事將成為可被即時分析和協助做出決策的數據流，例如整合球員補充水分的時機、球的運動軌跡、觀眾入座率等數據，並在每場比賽中的後台不斷進行模擬及預測，革新人們所認知的運動賽事，帶來比以往更精采可期的運動競賽。此外，現場或透過直播的觀賽體驗也將發生變化。體育場館將採用Amazon Go商店等零售產業的創新方法，例如使用電腦視覺、感測器融合和深度學習，達到「無票入場」和「即拿即買」（Grab-and-Go）的消費模式。新一代數據疊合和即時洞察也將深化至運動員層面以強化賽事體驗，宛如視覺效果最頂尖的電動遊戲。科技將成為職業體育賽事的競爭基礎。預測二：模擬世界將重塑體驗雲端將讓空間運算、模擬技術、數碼分身等科技技術變得更普及，帶來全新的體驗。在2023年，隨著AWS SimSpace Weaver等模擬技術的推出，未來人們將可以模擬幾乎所有事物。透過模擬執行大量假設的場景，人們無需等待多年即可得知行為對未來的影響。例如Terraformation全球重新造林等公司憑藉AWS SimSpace Weaver的模擬技術，在達到種植1萬億棵樹目標的過程中，模擬森林的生長情況，以確保森林健康和生物多樣性，並盡力達到碳補償（Carbon Offset）。另一個快速成長的創新領域是空間運算。許多企業已經在建構專用硬件，並使用雲端技術來捕捉和建立所有環境的3D模型，這也激發建築、施工、商業地產和零售行業的創新浪潮。空間運算將在未來幾年迅速發展，3D物件和環境將像社交媒體上的短影片般流行，且易於產生和使用。這些模型可以在虛擬本地（virtual home）中模擬出它們的特色，消費者在按下購買鍵前就能了解全盤細節。例如消費者不僅可以把一盞虛擬燈放在客廳，更可以透過開關燈即時觀察環境光與虛擬傢俱的互動，以及了解其能源消耗。預測三：智慧能源創新浪潮在2023年，能量儲存表面材料、分散式電網、智慧消費等技術將在全球快速發展，協助改善生產、儲存和消耗能源的方式。亞馬遜正在儲存資源，以及在使用者需要時隨需配送展開行動。雲端技術將為材料研究科學開拓的新領域，例如將能源儲存整合至提供動力的物體結構中，在一艘船的兩側安裝動力電池。亞馬遜也開始著手於長期儲存能源領域的突破，例如熔鹽、堆疊區塊和燃料電池。另一個新領域是能源分散化。隨著地緣政治事件和氣候波動加劇的能源挑戰，微電網將成為全球許多社區的解決方案，而雲端技術是實現此目標的關鍵。來自太陽能電池板、風電場、地熱和水力發電的數據將在雲端串流、儲存、監控、進一步精簡與分析。機器學習將用於分析所有能源數據、預測使用高峰，並透過每戶家庭的用電行為重新分配能源以預防停電。預測四：供應鏈轉型即將來臨在2023年，電腦視覺和深度學習等技術將推動供應鏈發展。無人駕駛車隊、自主倉庫管理和模擬只是引領智慧物流和全球供應鏈新時代的一小步。工廠中的物聯網感測器數量將激增；機器學習將不僅用於預測機器故障，也會用於預防機器故障。建基於雲端技術的數碼貨運網絡將解決全球運送產品的挑戰。數碼貨運網絡將穿越國家甚至海洋，並即時提供數據，協助承運人優化最有效的航線，以及改變航向以應對關鍵時刻，例如設備故障和天氣干擾。供應鏈的每一個環節將能即時預測貨物即時狀態和到貨時間。自動駕駛貨車運輸將對全球供應鏈產生巨大影響。自動駕駛貨車可以24小時在路上行駛，無須中途休息，也不會衍生司機疲倦或分心等問題，產品也將更快、更安全、更高效地送達目的地。抵達當地倉庫後，由機械人進行揀選和自動包裝貨物將變得更普及。機械人技術借助人工智能、電腦視覺和對公司庫存中單個產品的精確處理，也將開始在倉儲中發揮更大的作用。預測五：客製化晶片成為主流在2023年，專用晶片將加快創新步伐，工作負載利用硬件優化帶來最大化效能，同時降低能源消耗和成本。截至2022年12月，AWS平均每天啟動1億個EC2執行個體，近年來亦相當投入於晶片設計。借助專為特定案例獨家建構的客製化晶片，企業在雲端執行的工作負載將獲得更高效能、更好的成本效益。在未來幾年，工作負載將轉移到專為模型訓練的AWS Trainium晶片和專為推論設計的AWS Inferentia晶片中，為工程師開啟創新浪潮。透過使用基於AWS Trainium的執行個體節省50%的訓練成本，或基於AWS Inferentia的執行個體上實現50%的每瓦效能提升。即使通用應用程式中，遷移至客製化晶片仍有好處，例如基於Graviton3的執行個體，在相同的效能下比同類EC2執行個體的能源消耗低60%。成本節約和效能優勢將帶來更多實驗、創新以及應用，並為其他特定工作負載提供更多客製化晶片。於2003年獲得圖靈獎的美國電腦科學家Alan Kay曾言：「真正認真對待軟件的人應該製造自己的硬件。」展望來年，專注軟件開發的企業將開始利用客製化晶片帶來競爭優勢。 Hashtag: #AmazonWebServices #AWSThe issuer is solely responsible for the content of this announcement.關於Amazon Web Services超過15年來，Amazon Web Services一直在提供世界上服務最豐富、應用廣泛的雲端服務。AWS為客戶提供超過200種功能全面的雲端服務，包括運算、儲存、數據庫、網絡、分析、機器學習與人工智慧、物聯網、流動、安全、混合雲、虛擬和擴增實境(VR 和AR)、媒體，以及應用開發、部署和管理等方面，遍及30個地理區域內的96個可用區域(Availability Zones)，並已公布計畫在澳洲、加拿大、以色列、紐西蘭和泰國建立5個AWS地理區域、15個可用區域。AWS的服務獲得全球超過百萬客戶的信任，包括發展迅速的初創公司、大型企業和政府機構。通過AWS的服務，客戶能夠有效強化自身基礎設施，提高營運上的彈性與應變能力，同時降低成本。欲了解更多有關AWS的資訊，請瀏覽： aws.amazon.com

文章來源 : Media OutReach Limited 發表時間 : 2023/1/3 瀏覽次數 : 11900 加入收藏 :

Global Business News

5 tech predictions for 2023 and beyond, according to Amazon CTO Dr. Werner Vogels

HONG KONG SAR - Media OutReach - 3 January 2023 - With several global crises occupying our daily lives, it's important to see where we can use technology to solve these hard human problems. Today, we have more access to data from wearables, medical devices, environmental sensors, video capture, and other connected devices than we have had at any point in the past. When combined with cloud technologies—like computer vision, machine learning, and simulation—we are starting to get a glimpse of where that powerful blend of information and application can take us. The next wave of innovators and inventors—a few of whom I was fortunate to have met while filming Now Go Build—are already building solutions to reforest the planet, keep our youth active, and re-imagine the supply chain from the warehouse to delivery. And this is truly just the beginning. As access to advanced technology becomes even more ubiquitous—as every facet of life becomes data that we can analyze—we will see a torrent of innovation, and this will proliferate in 2023. Prediction 1: Cloud technologies will redefine sports as we know them Like music and video, sports will become data streams that we can analyze. The insights that these will unlock in the coming years will transform the entire sports industry and redefine what it means to play—and experience—every game. Sports are part of the human fabric. They transcend time, cultures, and physical borders. At this moment, one of the largest sporting events in the world is happening—the World Cup. An estimated 5 billion people are expected to watch. Until now, broadcast television has had the biggest impact on the evolution of professional sports, paving the way for what is today a $500 billion industry. The next game-changing technology advancements are on the horizon. In the coming years, every facet of every sport will undergo a digital transformation, and this will happen at every level of play, from youth basketball to professional cricket. Companies like Veo are leading this charge, making use of cloud technologies like machine learning, computer vision, and stream processing, to narrow the digital divide between amateur and professional athletes. While Veo has created a broadcast-like experience for viewers of amateur sports, it has also built a deep neural network that allows it to automatically create highlights from video streams. This allows players, coaches, and recruiters to easily find key plays, improve tactics, and share all of that in ways that simply weren't possible before. As technologies like Veo become more widely used across all levels of all sports, imagine what comes next. Top leagues, like the Bundesliga and the NFL, have started using video streams, wearables, Internet of Things (IoT) sensors, and more for real-time analytics and insights. Looking ahead, these capabilities will continue to advance, and the technologies will become an omnipresent force in nearly every sport, at every level. Imagine a scenario where a coach can use computer vision and biometric data that is analyzed in the cloud in real time to pull a player before they cramp or concede a goal, replacing them with the most well-rested teammate, something now quantifiable. This simultaneously improves player safety and increases the game's competitiveness. At this point, the sports themselves will truly start to become a data stream that we can analyze and make decisions on in real time—player hydration, ball movement, field saturation—all of it, aggregated and richer than anything we see today. And with more data comes further innovation. In the not-so-distant future, we will reach a point where teams are running constant "what-if" simulations in the background during every game, enabling them to better predict the impact of their decisions in the moment. Technology itself will become the competitive foundation for professional sports. Whether in person or on a screen, the fan experience will also change. Stadiums will rapidly adopt some of the innovations that we've seen in industries like retail, such as Amazon Go stores, where the use of computer vision, sensor fusion, and deep learning will enable ticketless entry and grab-and-go purchasing. We will also start to see the next generation of data overlays and real-time insights that go down to the player level, augmenting the game and bringing sports closer to what we expect in the most visually informative video games today. Co-viewing and personalized viewing experiences will continue to evolve, more closely connecting those 5 billion viewers than ever before. The sports world is currently on the verge of the biggest revolution it has ever seen, and cloud technologies are at the center of this change. Prediction 2: Simulated worlds will reinvent the way we experiment Spatial computing. Simulation. Digital twins. These technologies have been slowly maturing for years, but the everyday impact has been limited. This is quickly changing, and in 2023, the cloud will make these technologies more accessible, in turn enabling a new class of use cases that will be unbound by physical constraints. Simulations are used to build better race cars, predict weather, and model the stock market. While the problems that simulations can solve are significant, the difficulty of building and running simulations is a barrier for everyday use cases. Companies are constrained by the need for high-powered hardware and a specialized workforce. Take a fluid dynamics simulation for a jet wing or race car as an example, where it may take up to 150 terabytes of data just to simulate one second of a real-world scenario. However, this is quickly changing with technologies like the recently launched AWS SimSpace Weaver, the first of many simulation technologies that will pave the way for a future where nearly anything in our world can, and eventually will, be simulated. Simulations will help us make better decisions about the roadways we construct, the ways we organize our warehouses, and the ways we respond to disasters. With simulation, we can peer into the future to see the impacts of our efforts, running numerous "what-if" scenarios that answer our questions without having to wait and see what the impact might be many years down the line. With a technology like AWS SimSpace Weaver, a company like Terraformation can model the growth of entire forests on their way to achieving the goal of planting 1 trillion trees. As a result, it can ensure a biodiverse and healthy forest that has the most carbon offset possible. Another area where I'm seeing a rapid uptick in innovation is spatial computing. Companies are already building specialized hardware and using cloud technologies to capture and create 3D models of nearly any environment. Doing this with just a mobile device will soon be a reality. This democratization will inspire a new wave of innovations in the architecture, construction, commercial real estate, and retail industries. Like video did for the internet, spatial computing will rapidly advance in the coming years to a point where 3D objects and environments are as easy to create and consume as your favorite short-form social media videos are today. Static 2D product images on the internet will become a thing of the past, replaced by 3D models that you can pick up, rotate, and place in your living room as seamlessly as you can see them in a web browser today. But expect more to emerge from these models, such that their intrinsic features can be simulated in your virtual home. A virtual lamp will not only be placed on the floor of your living room—you will be able to turn it on and off, watching how the ambient light interacts with your virtual furniture in real time, and understand the impact it has on your energy consumption. All of this before ever pushing a "buy now" button. In 2023, technologies like these will begin to converge. With the increasing integration of digital technologies in our physical world, simulation becomes more important to ensure that spatial computing technologies have the right impact. This will lead to a virtuous cycle of what were once disparate technologies being used in parallel by businesses and consumers alike. The cloud, through its massive scale and accessibility, will drive this next era. Prediction 3: A surge of innovation in smart energy Energy-storing surface materials. Decentralized grids. Smart consumption technologies. In 2023, we will see rapid development on a global scale that improves the way we produce, store, and consume energy. We are in the midst of another energy crisis. Rising costs and reliable access to energy are global problems—they impact everyone. While this isn't the first time that we have faced an energy crisis, several maturing technologies are beginning to converge, and together, they will enable us to address this like never before. The environment around us produces more than enough renewable energy. The challenge is actually with storage and on-demand delivery to the systems that need to consume that energy. Amazon is doing work in this space, take for example, the 150 megawatt battery storage system in Arizona that's providing clean, reliable energy to our facilities in that area. But we're not the only ones. Companies across the globe are also quickly innovating in this space. The cloud is enabling materials research science for novel use cases, such as integrating energy storage into the structure of the objects they aim to power. Imagine a shipping vessel where the sides of the ship are actually the batteries that power it on its journey. This is just the tip of the iceberg—no pun intended. We are also starting to see breakthroughs in long-duration storage, like molten salt, stacked blocks, and fuel cells. Another area is the decentralization of energy. With uncertainty around energy availability, some communities are turning to microgrids. I like to think of microgrids as community gardens (but for energy), where community members use these to sustain themselves, reducing their reliance on traditional energy companies and their aging infrastructure. In my neighborhood, we have a small microgrid, where solar is collected and shared among tenants. As we continue to see energy challenges amplified by geopolitical events and climate fluctuations, microgrids will become a viable solution for many communities around the world, and cloud technologies will play a role in enabling this. Data from solar panels, wind farms, geothermal power, and hydroelectric power will be streamed, stored, monitored, enriched, and analyzed in the cloud. Machine learning will be used to analyze all energy data to predict usage spikes and prevent outages through redistribution of energy at a household-level of granularity. We will also see IoT-based smart consumption devices take off across the globe in the coming year. This will lead to the next wave of innovations that arise from the new observability capabilities that these devices provide for homes and businesses alike. Imagine the energy savings we can get by retrofitting historic buildings with energy-saving technologies. In the next few years, we will see a rapid convergence of all types of smart energy technologies, as we have finally met the threshold where our technology solutions can address our crisis. While this may not have the immediate impact that we all wish it would, together these technologies will fundamentally and forever change the way that we create, store, and consume energy. Prediction 4: The upcoming supply chain transformation In 2023, adoption of technologies such as computer vision and deep learning will propel the supply chain forward. Driverless fleets, autonomous warehouse management, and simulations are just a few of the optimizations that will lead to a new era in smart logistics and global supply chain. Something that I've reflected on regularly over the past few years is the fragility of the global supply chain. We are reminded of this daily—late deliveries, unavailable products, empty shelves. While Amazon has fine-tuned its supply chains with innovations like digital freight matching and delivery stations, many companies have continued to struggle with logistical challenges. This is about to change. This will start with the manufacturing of goods themselves. IoT sensors in factories will proliferate, and machine learning will be used to not only predict equipment failures and machine failures, but to prevent them. Less downtime means consistent production. Shipping those products across the globe is a whole other challenge. Digital freight networks powered by the cloud will traverse countries, even oceans, providing real-time data that will allows carriers to optimize with the most efficient shipping routes and change course in response to inevitable events, such as equipment failures and weather disruptions. Think of it as having real-time insights about the current state and arrival time of goods, but at every level of the supply chain. These freight networks will set the stage for the first cross-country autonomous truck shipments. The impacts will be felt immediately, with countries like the U.S. currently experiencing a shortage of 80,000 drivers. Through the use of spatial computation, edge computing, and simulation, autonomous trucking is set to have a massive impact on our global supply chain. Why? A human driver can only spend so long behind the wheel before they become distracted, tired, and potentially dangerous. And this is before we consider each country's specific health and safety regulations. This means that fresh fruits being shipped from Southern California can only hope to make it as far as Dallas, Texas, before they begin to deteriorate. However, an autonomous truck can be on the road for 24 hours. There are no mandated breaks, and the technology never gets tired, impatient, or distracted. Products get where they need to go faster, safer, and more efficiently. Upon arriving at a local warehouse, robotic picking, order sorting, and automated packing will become more commonplace. We will continue to see this evolve with new innovations in robotics that use artificial intelligence, computer vision, and precision handling of individual products in a company's inventory. Autonomous robotics will also begin to play a bigger role in warehousing. Imagine being able to augment a forklift operator, who spends a good portion of time simply searching for products, with a real-time digital twin of the inventory, one that is constantly kept up to date using autonomous flying inventory drones. The key to transforming the supply chain is to use technology to optimize each step along a product's journey. Starting next year, we will see an acceleration in the development of smart factories, smart equipment, and smart shipping that does just that. Each will play a role in improving worker safety, optimizing inventory management, reducing maintenance costs, and streamlining production processes. The supply chain of the future is digital. Prediction 5: Custom silicon goes mainstream Use of purpose-built chips will rapidly increase in 2023. As a result, the pace of innovation will accelerate as workloads take advantage of hardware optimizations that maximize performance, while lowering energy consumption and reducing costs. Custom silicon and specialized hardware have been quickly gaining traction in the consumer technology industry. Everything from our laptops to our cellphones to our wearable devices is seeing significant leaps in performance with the fabrication and adoption of custom silicon. While adoption has been quick in the consumer space, the same hasn't been true for business applications and systems, where software and hardware traditionally have longer refresh cycles. However, this will quickly change in the coming years as the accessibility and adoption of custom silicon takes hold. At AWS, an average of 100 million Amazon Elastic Compute Cloud (Amazon EC2) instances are fired up every day (as of this writing). This is in large part due to how closely we've worked with customers over the years to understand the types of workloads they are running and then determine what we should build next. Like consumer devices, this has led AWS to invest heavily in chip design in recent years. That's because we know that the workloads companies are running in the cloud can be more performant and more cost-effective running on custom silicon that is purpose-built for specific use cases. Take machine learning workloads for example. Software engineers have traditionally relied on expensive, power-hungry GPUs to do everything from model building to inference. However, this one-size-fits-all approach is not efficient—most GPUs aren't optimized for these tasks. In the coming years, more engineers will see the benefits of moving workloads to processors specifically designed for things like model training (AWS Trainium) and inference (AWS Inferentia). As this happens, a new wave of innovation will begin. By realizing a 50% cost-to-train savings with a Trainium-based instance, or a 50% better performance-per-watt on an Inferentia2-based instance, engineers and businesses alike will take notice, and we will begin to see a massive migration of workloads. The same will be true even for generalized applications, where there are still benefits to moving to custom silicon, such as AWS Graviton3-based instances that use up to 60% less energy for the same performance than comparable EC2 instances. Cost savings and performance benefits will lead to more experimentation, more innovation, more adoption, and eventually, more custom silicon for other specific workloads. It's another virtuous cycle. Alan Kay once said, "People who are really serious about software should make their own hardware." And in the coming year, people who are really serious about software will really begin to take advantage of all that custom silicon has to offer. To learn more from Dr. Werner Vogels, visit, All Things Distributed. Hashtag: #AmazonWebServices #AWSThe issuer is solely responsible for the content of this announcement.About Amazon Web ServicesFor over 15 years, Amazon Web Services has been the world's most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 96 Availability Zones within 30 geographic regions, with announced plans for 15 more Availability Zones and five more AWS Regions in Australia, Canada, Israel, New Zealand, and Thailand. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.

文章來源 : Media OutReach Limited 發表時間 : 2023/1/3 瀏覽次數 : 5445 加入收藏 :

大陸港澳

趨勢科技呼籲資訊保安團隊準備好對應勒索程式新時代

文章來源 : Media OutReach Limited 發表時間 : 2022/12/20 瀏覽次數 : 8116 加入收藏 :

長庚大學鼓勵學生專題創新實作，資管系廖耕億主任(左一)首頒3萬元獎金給專題競賽第一名團隊。

產學新訊

鼓勵學生創新實作長庚大學補助每人1萬元

為鼓勵學生積極參與專題實作，將所學專業知識運用於實務操作，長庚大學推動新制發放獎助金。只要是大學部學生，有必修專題實作課程且成果需有成品或產品，即可以小組為單位申請校方補助，每人以1萬元為原則。若在課程專題發表取得前三名佳績，還能額外領取最高3萬元獎金。新制辦法通過後已立刻生效，本學期起施行。長庚大學鼓勵學生專題創新實作，資管系廖耕億主任(左一)首頒3萬元獎金給專題競賽第一名團隊。長庚大學表示，新制全稱為「長庚大學創業創新實作補助要點」，目的是鼓勵同學動手實作，並且培養學生創新思考與問題解決的能力，將所學融入實務，進而提升未來就業競爭力。其實許多學系原本就有專題實作必修，只是補助金額與專題競賽獎金不一，因此特別訂定補助要點調高並統一金額，希望提供同學最實際的支持。依據此一要點，大學部學生經校內專任教師指導，修習教務處公告的專題實作相關必修課程，有實品或產品的實作，皆能獲得補助。學生自行規劃支用內容，並以4人以上團隊方式彈性運用總補助經費。補助項目包括專題實作所需的物品費、印刷費，以及文具、郵資、參加校外競賽報名費、受試者營養費或受訪者車馬費等雜支與交通費。長庚大學許多學系會辦理大規模畢業專題公開評比競賽。圖為資管系畢展。此外，各學系必須於課程結束前辦理專題實作競賽，獲評選為前三名者，將依序另頒3萬元、2萬元與1萬元獎勵。對於這項新制，師生都覺得除了實質上的補助，也具激勵效果。以資訊管理學系為例，今年專題課程尚未結束，已有兩組同學參加校外競賽獲得獎金，其中一組更在近日落幕的校內專題課程競賽中獲得第一名殊榮，3萬元入袋，無論是榮譽還是獎金都再添一筆。長庚大學許多學系會辦理大規模畢業專題公開評比競賽。圖為工業設計系畢展。

文章來源 : 長庚大學秘書室 發表時間 : 2022/12/16 瀏覽次數 : 8244 加入收藏 :

產學新訊

長庚資管系畢展展現實作創客精神

長庚大學資訊管理系12月9日舉辦畢業成果展，22組作品涵蓋「醫療科技」、「照護科技」、「資安與數據創新」及「商務應用」等四大領域，其中「假面騎『識』Deepfake換臉即時檢測」、「GPBAP-政府採購數據分析平台」兩組作品更已獲得全國競賽獎項肯定。同學們熱情發揮創意，運用所學專業實作的創客精神，充分呈現今年「Creative Lab」的主題。廖耕億系主任表示，畢業成果展是資管系每名學生必經的「成年禮」，大家在一整年的團隊合作之下，完成了創新的專題作品或專題論文，並以此向外宣告已具備了一定的專業素養，有自信成為具有潛力的資管人才。今年的作品凸顯出資管系著重人工智慧與數據應用，皆具特色，學生也在師長鼓勵下發揮創新創業精神，針對醫療照護、電子商務或資訊安全等問題提出解決方案。本次活動於國際會議廳前廣場登場，除了貴賓、評審與系上師生外，也吸引許多教職員生參觀。在這當中，朱哲弘、劉沛和、高語澤、鄭博允、邢育銓同學有感於隨著深度換臉技術蓬勃發展，肉眼已難以辨別圖像及影像的真實性，影響民眾個人資訊安全，因而在陳宜惠老師指導下開發「假面騎『識』Deepfake換臉即時檢測」，在「2022大專校院資訊應用服務創新競賽」拿下資安組第二名與最佳人氣獎兩項獎項。「假面騎『識』Deepfake換臉即時檢測」學生團隊，已在全國競賽中榮獲佳績。團隊成員指出，他們設計的網站能夠辨識圖像和影像真偽，可判斷各類影像真偽，杜絕詐騙行為，作品兼具實用度與方便性。對於圖像或影像身分有疑慮的使用者，可透過網站判讀來防止有心人士的欺騙。除了圖像與影像外，也能上傳如YouTube等影音播放平台上的影片，或是線上會議、交友軟體的即時視訊。另一組由陳霈琪、張瀞予、高子喬、潘心語同學作品所開發的「GPBAP-政府採購數據分析平台」，在廖耕億主任指導下，於「2022全國大專校院智慧創新暨跨域整合創作競賽」拿下「電商與金融科技組」佳作。團隊成員發現，廠商使用政府電子採購網時，明明已經做足投標準備，但仍無法從制式化的查詢結果分析競爭態勢，或是預測競爭廠商的出價，市場競爭資訊不足，很難做出最佳決策，因此仍常錯失機會。廖耕億主任(圖中)指導學生開發「GPBAP-政府採購數據分析平台」，並獲得全國競賽獎項肯定。雖然政府採購網有豐富的招標與競標紀錄，但僅能視為競標原始資料，缺乏深度分析的功能，才會無法有效解決上述提到之問題。因此，他們希望透過打造出獨具特色的廠商績效分析平台，提供廠商勝率比較分析、標案預測分析，有效輔助招標公務機關、合作廠商、員工與投資大眾進行關鍵決策。除此之外，各組的專題主題也都蘊含關懷社會、解決問題的熱誠，像是「長照E 點靈」、「喚我守護你─陪伴機器人」、「智慧嬰兒照護+」等，為長輩、嬰兒打造的照護平台，以及為早餐店設計的LINE 機器人APP，協助收單、點單與客服。也有希望在臨床醫療上盡一份心力，在人工智慧輔助下，開發相關系統平台，協助醫護人員收集資訊並輔助判斷。長庚大學資管系同學向評審、師長介紹畢業專題成果。長庚大學資管系同學向評審、師長介紹畢業專題成果。另一方面，長庚大學管理學院當天也同時舉辦「創客與跨領域創新競賽」，這是以「學生學習為中心之創客團隊自主學習」的創新教學計畫，讓學生組成跨領域團隊，進行產品或服務系統的創新設計與開發。今年有9組進入決選，參與的團隊成員不只有管院的學生，還有來自校內醫學院、工學院及智慧運算學院的同學，第一名團隊可獲得2萬元的獎金。

文章來源 : 長庚大學秘書室 發表時間 : 2022/12/9 瀏覽次數 : 7065 加入收藏 :

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