這樣的尺寸即便將 Apple Watch 錶圈環繞在行動電源上，也不會覺得特別突兀 – 頂端底部都有凹陷，甚至感覺出門在外還可以當作簡易的錶架使用。只是就外在看來，BoostCharge Pro Fast Wireless Charger for Apple Watch + Power Bank 10K 似乎只有單一 USB-C 埠。
所以如果要邊充邊用的話，大概也就只能單純用來當做 Apple Watch 或是 AirPods Pro 2 的充電座了。就這點來說，應該會讓旅遊充電使用方式有所受限。但講起來 10,000 mAh 應該也相當足夠外出跟手機一起使用了 – 雖然官方只有說能讓 iPhone 14 Pro 達到 36 小時的影片播放時間。但講起來這款行動電源能讓你出門在外的時候，能快速幫 Apple Watch 快充補電，應該才是他的最大價值所在囉。
已經在官網啟動預購的 BoostCharge Pro 建議售價為 US$100（約新台幣 3,000）。盒裝會附上 USB-C 對 USB-C 線組，預計在六月出貨。
在經歷了將近 36 年的發展，Square Enix 旗下經典 RPG 系列《Final Fantasy》將於今年 6 月正式推出第 16 款正傳作品《Final Fantasy XVI》，而如果再加上《Final Fantasy XIII-2》等一些延伸作品的話，更是讓這個系列整體顯得更加龐大。然而，這個一點也不「Final」的長壽系列也可能會讓許多一直都沒有接觸過的玩家感到有些困惑，尤其是新作標題上的那個第 16 代。
已經發展到了如此高的代數，一些玩家之間的討論也傳回到了 Square Enix 的總部。畢竟，這或許會讓一些正在考慮是否購買系列新作《Final Fantasy XVI》的玩家以為他們必須要先玩過系列前面的 15 款遊戲才能完全搞懂劇情和世界觀，但事實上，這系列每一款遊戲都講述著截然不同的故事，除非像是《Final Fantasy XIII-2》或《Final Fantasy X-2》等延續之外，其他作品之間的故事完全沒有關聯。而在最近接受《GQ》雜誌的訪談時，《Final Fantasy》製作人吉田直樹就談論到了這個議題。
今天早些時候，彭博社（Bloomberg）的記者 Mark Gurman 也證實這項謠言，表示 iPhone 16 Pro 機型的更大尺寸可以幫助改進相機硬體或更大的內部電池。雖然 iPhone 15 Pro Max 預計將推出 iPhone 的第一款潛望式長焦鏡頭，但該功能預計將最初是 Apple 最大的 iPhone 的獨家功能，也就是說在 iPhone 15 Pro 將不會配備。
據外媒報導指出，隨著明年的 iPhone 16 的兩款 Pro 機型推出將全面搭載潛望式長焦鏡頭。 因此，iPhone 16 Pro 和 iPhone 16 Ultra 尺寸的增加，至少部分原因在於需要更多的內部空間來在較小的 Pro 機型上實現潛望式長焦鏡頭。 對於 iPhone 16 Pro Max 或iPhone 16 Ultra，額外的內部空間顯然將允許更大的主相機感光元件，傳聞尺寸為 1/1.14 吋。 iPhone 14 Pro 和 iPhone 14 Pro Max 目前具有 1/1.28 吋的感光元件。 今年的 iPhone 15 Pro Max 預計不會增加感測器尺寸。 此後，這一說法得到了「ShrimpApplePro」在 Twitter 爆料證實。更大的感光元件可以改善 iPhone 主鏡頭的動態範圍和背景模糊。 它還可以大大提高低光攝影能力，因為更大的表面積可以用相同的快門速度和光圈捕捉到更多的光線。
▲圖片來源：
Bloomberg 的記者在最新一期的「Power On」時事通訊中，由 Mark Gurman 證實了其他關於 Apple 計劃將其兩款「Pro」系列 iPhone 機型的尺寸增加的傳聞，指出新的螢幕尺寸將是 iPhone 有史以來最大的。 Mark Gurman 也指出，這一變化將使 Apple 的高階智慧手機與三星提供的同等裝置更具競爭力。 增加還可以為改進的硬體創造更多的內部空間，如相機技術和更大的電池。
對於某些用戶來說，可能會希望 Windwos 工作列中的時鐘可以顯示秒數，過去 Windows 10 就能手動打開，不過 Windows 11 一開始把這功能移除，使用上就不是很方便，好消息是，近日微軟推出的最新 Windows 11 Moment 3 更新版本，就有把這功能加回來。讓用戶可以手動打開，只不過微軟曾警告過，啟用秒數將會導致電腦變得更加耗電，進而使筆電、平版續航力變差，為此外媒最近就進行了實測，結果顯示幾乎沒什麼差異。
NVIDIA CEO Jensen Huang delivered a keynote speech at Computex, highlighting the company’s focus on accelerating computing and artificial intelligence. Huang discussed the end of CPU scaling and the importance of accelerated computing, as well as the company’s software-defined data center and life cycle optimization. He showcased the H100 computer, which is in full production, and the Grace Hopper supercomputer, designed for large-scale AI applications. Huang also demonstrated generative AI breakthroughs, including text-to-music and text-to-video capabilities, and discussed the impact of AI on industries beyond technology. NVIDIA is introducing generative AI to every data center in the world through its Grace Hopper supercomputer and NVIDIA Maxine 3D, which converts 2D videos to 3D using cloud services. The company is also partnering with SoftBank to implement generative AI and software-defined 5G stack into SoftBank’s data centers worldwide.
The Future of Video Games and Accelerated Computing: A Tipping Point
NVIDIA’s CEO, Jensen Huang, spoke about the future of video games, the IBM System 360, and the two fundamental trends in the computer industry today. He explained that CPU scaling has ended and accelerated computing is the path forward, and that the data center is the computer, which makes accelerated computing a full stack problem. Huang also highlighted the importance of preserving software investment and the complexity of the data center equation. Finally, he demonstrated the cost-effectiveness of accelerated computing for large language models and emphasized that the more you buy, the more you save. 00:00:00->00:16:11
NVIDIA’s Accelerated Computing: Revolutionizing the Future of AI and Industry
NVIDIA CEO Jensen Huang gave a keynote speech at Computex, highlighting the company’s dedication to accelerating computing and artificial intelligence. Huang discussed the company’s software-defined data center and life cycle optimization, as well as the high demand for NVIDIA GPUs across industries. He also showcased the H100 computer, which is in full production, and discussed the company’s dedication to pushing the performance of computing forward. Huang also spoke about the breakthroughs in generative AI and the ability to transform information across modalities. He demonstrated examples of text-to-music and text-to-video AI capabilities. 00:16:12->00:36:00
NVIDIA Unveils Grace Hopper AI Supercomputer with 600GB Memory
Nvidia CEO Jensen Huang discussed the importance of generative AI and the company’s new Grace Hopper supercomputer, which has 600GB of memory and is designed for large-scale AI applications. The computer can be scaled up to an exaflop transformer engine, which would offer 144TB of memory. Huang said Google Cloud, Meta, and Microsoft will be the first companies to have access to the computer, which will be used for pioneering AI research. Huang also discussed the impact of AI on industries beyond technology, such as digital biology, and the ease of use of the new computing era. 00:36:01->00:53:44
NVIDIA’s Grace Hopper and the Future of Generative AI in Data Centers
NVIDIA is revolutionizing the way we connect, communicate, and collaborate with its new technology. The company is introducing generative AI to every data center in the world by using its Grace Hopper supercomputer and NVIDIA Maxine 3D. Maxine 3D converts 2D videos to 3D using cloud services, creating an enhanced sense of depth and presence in video conferencing. Additionally, NVIDIA is partnering with SoftBank to implement generative AI and software-defined 5G stack into SoftBank’s data centers worldwide. NVIDIA is also announcing the NVIDIA MGX, an open modular server design specification designed for accelerated computing. The company is introducing a new type of Ethernet using its Spectrum 4 switch to enable AI workloads in every data center. 00:53:45->01:10:47
NVIDIA’s Advances in High Performance Computing, Enterprise AI, and Omniverse
NVIDIA has announced a new Ethernet system for AI, designed to bring the capabilities of high-performance computing into the Ethernet market. The system consists of the Spectrum 4 switch and the Bluefield 3 SmartNIC or DPU, which together offer adaptive routing and congestion control. NVIDIA is also helping industries build custom language models with its cloud service, NVIDIA AI Foundation, and has integrated its enterprise-grade and enterprise-secure software stack, NVIDIA AI Enterprise, into major cloud providers. The company is also developing Omniverse, a digital twin platform that allows users to build, design, and operate factories in a virtual environment. 01:10:47->01:29:36
NVIDIA and WPP Partner to Build AI-Enabled Content Generation Engine
NVIDIA has partnered with WPP, the world’s largest advertising agency, to build a content generation engine using Omniverse and generative AI. The engine integrates tools from partners such as Adobe Firefly, Getty, and Shutterstock to generate unique content for different users for ad applications. NVIDIA is also using Omniverse and AI for manufacturing, with electronics manufacturer Pegatron using NVIDIA AI and Omniverse to digitalize their factories. NVIDIA has also announced their robot platform, NVIDIA iZak AMR, as a reference design for anyone who wants to build robots. The platform includes a chip called Orin, a computer, and the NVIDIA Nova Orin, which is a reference system, a blueprint for AMRs. The entire stack has been built, and it allows manufacturers to super accelerate factory bring-up, continuously optimize operations, maximize production line throughput, all while reducing costs. 01:29:36->01:45:37
▲圖片來源：NVIDIA
不得不說，雖然在這篇沒辦法展示給大家，可以直接搭配錄音／影片直接聆聽每個演講段落的使用體驗。但大致上應該也算火力展示了目前 AI 可以快速整理會議／發表會的原始實力 – 當然，這裡面肯定有一些錯誤，以及漏掉的地方（大家可以參考，另外，標注的時間標籤會以演講開始時為主，所以可能會有一些時間誤差）。
不過對於需要快速掌握資訊的人而言，Vocol AI 所提供的超高整理效率與歸納的能耐，的確是非常值得試用的好服務。關於 NVIDIA Computex 2023 主題演講完整內容，也可以參考。