Your cart is currently empty!
Tag: Dependency
EU needs to end its military dependency on U.S., Polish leader says
BRUSSELS — The European Union cannot rely on the United States to defend it and must increase military spending and security preparedness to help Ukraine and deter Russia from targeting any more of its neighbors, top EU officials warned on Wednesday.
“Ask not of America what it can do for our security. Ask yourselves what we can do for our own security,” Polish Prime Minister Donald Tusk, whose country holds the EU presidency, said, paraphrasing a quote from U.S. President John F. Kennedy’s inaugural address in 1961.
In an address to EU lawmakers, Tusk urged the 27-nation bloc to “take control” of its own security and to identify its weaknesses. “If Europe is to survive, it must be armed,” he said.
Anxiety is mounting that U.S. President Trump might seek to quickly end the war in talks with Russian President Vladimir Putin on terms that are unfavorable to Ukraine, or once again refuse to defend European allies who do not boost their military budgets.
“We need to believe again in our power,” Tusk told the assembly, in Strasbourg, France. “We are strong, we are equal to the greatest powers in the world. The only thing we have to do is believe in it.”
Tusk said that his country is spending close to 5% of its gross domestic product on its defense budget, more than any NATO ally, including the United States. He urged his European partners to match that rate at least until Russia backs down.
“It is today that we need to radically increase our defense spending [but] not forever and ever,” Tusk said.
In Brussels, EU foreign policy chief Kaja Kallas warned of the dangers that Russia already poses, laying out a list of acts of sabotage, cyberattacks, disinformation campaigns and electronic GPS jamming that she accuses Moscow of underwriting.
“Many of our national intelligence agencies are giving us the information that Russia could test the EU’s readiness to defend itself in three to five years,” she said at a European Defense Agency gathering. “Who else are we listening to if not to them?”
Kallas warned that Russia’s defense industry “is churning out tanks, glide bombs and artillery shells in vast quantities. In three months, they can produce more weapons and more ammunition than we can in 12.”
She described Russia as “a heavily militarized country that presents an existential threat to us all. We are running out of time. The Ukrainians are fighting for their freedom, and ours. They are all buying us time.”
Kallas noted that EU member states are spending an average of 1.9% of GDP on their military budgets, while Russia is spending 9%. Twenty-three EU nations are also members of NATO, which encourages allies to spend at least 2% of GDP on defense.
Apart from leaving the world’s biggest trading bloc exposed, Kallas said, “Europe’s failure to invest in military capabilities also sends a dangerous signal to the aggressor. Weakness invites them in.”
Kallas underlined that the United States is “our strongest ally and must remain so.”
EU leaders are set to meet for an “informal retreat” outside Brussels on Feb. 3 for talks focused uniquely on security and defense for the first time. NATO Secretary-General Mark Rutte is due to attend.
Cook writes for the Associated Press.
In a recent statement, Polish leader Andrzej Duda called for the European Union to end its military dependency on the United States. Duda emphasized the need for EU member states to strengthen their own defense capabilities and rely less on American support.He highlighted the importance of building a strong and self-sufficient European defense industry, stating that the EU should not continue to rely on the U.S. for its security needs. Duda’s comments come at a time of increasing tensions between the U.S. and EU, particularly in regards to defense spending and NATO contributions.
Many European leaders have echoed Duda’s sentiments, arguing that the EU must take more responsibility for its own security and reduce its reliance on the U.S. for military support. As discussions continue within the EU about the future of its defense policy, it is clear that the issue of military dependency on the U.S. will remain a key point of contention.
Tags:
- European Union military dependency
- United States military reliance
- Poland calls for EU independence
- Transatlantic security concerns
- NATO alliance challenges
- European defense sovereignty
- Geopolitical independence
- European military autonomy
- International security partnerships
- European strategic autonomy
#military #dependency #U.S #Polish #leader
LSTM: Unraveling the Secrets of Long-Term Dependency Modeling
Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) that is designed to overcome the vanishing gradient problem that occurs in traditional RNNs. This allows LSTM networks to effectively model long-term dependencies in sequential data, making them particularly well-suited for tasks such as speech recognition, language modeling, and time series prediction.At the heart of an LSTM network are memory cells that store information over long periods of time. These memory cells are controlled by three gates: the input gate, the forget gate, and the output gate. The input gate determines how much new information is allowed into the memory cell, the forget gate controls how much old information is retained or forgotten, and the output gate regulates how much information is passed on to the next time step.
One of the key features of LSTM networks is their ability to learn what information to store in the memory cells and for how long. This is achieved through a process known as backpropagation through time, where the network learns to adjust the weights of the gates based on the error in the predictions made by the network.
The architecture of an LSTM network makes it well-suited for handling sequences of varying lengths, as the network can learn to store relevant information for different time scales. This makes LSTM networks particularly effective for tasks such as speech recognition, where the length of the spoken input can vary widely.
In recent years, LSTM networks have been used in a wide range of applications, from natural language processing to financial forecasting. Their ability to model long-term dependencies in sequential data has made them a popular choice for many researchers and practitioners in the field of machine learning.
Overall, LSTM networks have revolutionized the field of deep learning by providing an effective solution to the problem of modeling long-term dependencies in sequential data. With their ability to store and retrieve information over long periods of time, LSTM networks have enabled breakthroughs in a wide range of applications, making them a powerful tool for researchers and practitioners alike.
#LSTM #Unraveling #Secrets #LongTerm #Dependency #Modeling,lstm
