prime的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列訂位、菜單、價格優惠和問答集

End Game: Does Israel Have a Plan?

為了解決prime的問題，作者Sachs, Natan 這樣論述：

How Israelis envision and plan for the future of their countryDoes Israel have a plan? What does the country want to look like in 10 or 20 years? What borders does it hope to have? Will the West Bank or the Gaza Strip be part of it? Will the Palestinians residing the territories be granted citizensh

ip and become Israeli citizens? Does the country as a whole even know what it wants, what its goals are, or how to achieve them?Israel faces a fundamental question, a "trilemma." It can choose only two of three different goals many Israelis hold dear: to maintain control over the West Bank, with its

strategic and religious significance to Israel; to retain a clear Jewish majority, the goal of the Zionist movement that founded the state; or to remain a democracy, with full voting rights for all citizens.This trilemma has caused world leaders and publics, Israel-supporters and critics, to wonder

aloud time and again: what does Israel want? If it wishes to maintain its Jewish and democratic character, surely it must separate from the West Bank and its population; why then does Israel keep building in Israeli settlements in the West Bank, making such separation all the more difficult? And if

it plans to retain control over the West Bank, is it really willing to give up on either its Jewish nature or its democracy?End Game attempts to solve the puzzle of why the Israeli strategic vision seems so elusive to many foreigners and Israelis alike. It explores how Israelis' beliefs about their

future are formed and how their visions are translated into policy, focusing on three factors in depth: the role of security concerns, ideology, and domestic political constraints that combine to shape Israel's strategic posture.The book contrasts the full range of views in Israel over the future o

f the West Bank, from supporters of a bi-national state or confederacy on the left, to supporters of a "one state" on the far right of the political spectrum. It pays particular attention to the worldview of the political center-right, led by Prime Minister Benjamin Netanyahu, a conservative, risk-a

verse and "anti-solutionist" approach to the problem. This worldview, following decades of precedent, rejects the need for a full-fledged strategic "solution" to the problem, leading to widespread confusion over Israel's goals. The book analyses and critiques this approach, arguing forcefully for en

ding Israeli indecision over the future of the land and in favor of partition and, eventually, peace. Dr. Natan Sachs is a fellow in the Center for Middle East Policy at the Brookings Institution. His research focuses on Israel’s foreign policy, its domestic politics, and on U.S.-Israeli relations

. Before joining Brookings, Sachs was a Hewlett Fellow at Stanford’s Center on Democracy, Development and the Rule of Law, a Fulbright Fellow in Indonesia, and a Visiting Fellow at Tel Aviv University’s Dayan Center for Middle Eastern and African Studies.

prime進入發燒排行的影片

針對客製化 SAR ADC 之二進位電容陣列佈局自動化

為了解決prime的問題，作者姜承佑 這樣論述：

由於其出色的功率效率，逐次逼近寄存器 (SAR) 模數轉換器 (ADC) 是實現低功耗 ADC 設計的一個具吸引力的選擇。在類比佈局設計中，導線、元件間引起的寄生效 應會影響器件的準確度與性能。為了大幅減少電路中的寄生電容，一種一維陣列式橫 向金屬-金屬極小電容單元組成的電容陣列架構已經採用於一些低功耗或高速的 SAR ADC 中。雖然採用這種二進位電容陣列架構的 SAR ADC 可以大大降低功耗與面積， 但由於每個單元電容器的電容值非常小，電路中非預期的寄生電容會顯著影響電容器 的匹配特性和設置時間。本文提出了一個用於合成客製化 SAR ADC 之最佳化二進位 電容陣列的方法。實驗結果也表

明，我們的方法生成的佈局結果之 ENOB 與手動設計 和其他自動化研究相比優化不少。

Secret Documents of Intelligence Branch on Father of the Nation, Bangladesh: Bangabandhu Sheikh Mujibur Rahman: Volume 13 (1968-

為了解決prime的問題，作者 這樣論述：

Secret Documents of Intelligence Branch on Father of the Nation, Bangladesh: Bangabandhu Sheikh Mujibur Rahman, is a 14-volume set of declassified documents edited by Sheikh Hasina, Honorable Prime Minister of Bangladesh. These are a compilation of the files maintained by the Intelligence Branch of

Pakistan Government on Sheikh Mujibur Rahman, who emerged as the sole leader of the country and became Bangabandhu (Friend of Bangladesh). For his long-standing struggle and contribution in fostering notions of Bengali nationhood that led to the independence of Bangladesh, he has been honored as th

e Father of the Nation. The volumes provide records for period 1948 to 1971 and chronologically elucidate the trajectory of the various movements and political struggles that led to the formation of an independent nation state called People's Republic of Bangladesh. These include the 1952 Bengali La

nguage Movement that catalyzed the assertion of Bengali national identity in the region and became a forerunner to Bengali nationalist movements. Bangabandhu Sheikh Mujibur Rahman led the struggle for independence, first through massive populist and civil disobedience movements and later during the　

Bangladesh Liberation War. Important events cited in the present volumes include the 1954 United Front election victory, 1966 Six Point Movement, 1968 Agartala Conspiracy Case, 1969 mass uprising, 1970 election victory and 1971 Non-Cooperation Movement among others.These are the first ever declassif

ied documents released by the Government of Bangladesh and will serve as an invaluable historical resource in understanding the liberation of Bangladesh.This 13th volume holds records for the period 1968-1969. Sheikh Hasina, Honorable Prime Minister of Bangladesh.

應用於物件偵測與關鍵字辨識之強健記憶體內運算設計

為了解決prime的問題，作者江宇翔 這樣論述：

近年來，由於不同的應用都能夠藉由和深度學習的結合而達到更好的結果，像是物件偵測、自然語言處理以及圖像辨識，深度學習在終端設備上的發展越來越廣泛。為了應付深度學習模型的龐大資料搬移量，記憶體內運算的技術也在近年來蓬勃發展，不同於傳統的范紐曼架構，記憶體內運算使用類比域的計算使儲存設備也同樣具備運算的能力。儘管記憶體內運算具有降低資料搬移量的優點，比起純數位的設計，在類比域進行計算容易受到非理想效應的影響，包括元件本身或是周邊電路的誤差，這會造成模型災難性的失敗。此篇論文在兩種不同的應用領域針對記憶體內運算進行強健的模型設計及硬體實現。在電阻式記憶體內運算的物件偵測應用當中，我們將重點放在改善模

型對於非理想效應的容忍度。首先，為了降低元件誤差的影響，我們將原本的二值化權重網路改變為三值化權重網路以提高電阻式記憶體中高阻態元件的數量，同時能夠直接使用正權重及負權重位元線上的電流值進行比較而不使用參考位元線作為基準。其次，為了避免使用高精度的正規化偏差值以及所導致的大量低阻態元件佈署，我們選擇將網路中的批次正規化層移除。最後，我們將運算從分次的電流累加運算改為一次性的運算，這能夠將電路中非線性的影響降到最低同時避免使用類比域的累加器。相較於之前的模型會受到這些非理想效應的嚴重影響導致模型無法運作，我們在考慮完整的元件特性誤差，周邊電路誤差以及硬體限制之下，於IVS 3cls中做測試，能夠

將平均精確度下降控制在7.06\%，在重新訓練模型後能更進一步將平均精確度下降的值降低到3.85\%。在靜態隨機存取記憶體內運算的關鍵字辨識應用當中，雖然非理想效應的影響相對較小，但是仍然需要針對周邊電路的誤差進行偏壓佈署補償，在經過補償及微調訓練後，在Google Speech Command Dataset上能夠將準確率下降控制在1.07\%。另外，由於語音訊號會因為不同使用者的資料而有大量的差異，我們提出了在終端設備上進行模型的個人化訓練以提高模型在小部分使用者的準確率，在終端設備的模型訓練需要考量到硬體精度的問題，我們針對這些問題進行誤差縮放和小梯度累積以達到和理想的模型訓練相當的結果

。在後佈局模擬的結果中，這個設計在推論方面相較於現有的成果能夠有更高的能源效率，達到68TOPS/W，同時也因為模型個人化的功能而有更廣泛的應用。