HO APERTO UNA SCUOLA DI DANZA IN CASA NELLA VITA REALE PER 24 ORE!!🕺🏻
Summary
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Q & A
What were the ENIAC and UNIVAC, and why were they significant in the history of computing?
-ENIAC (Electronic Numerical Integrator and Computer) and UNIVAC (UNIVersal Automatic Computer) were among the first generation of computing machines developed in the 1940s and 1950s. ENIAC was significant for being the first electronic general-purpose computer, while UNIVAC was the first commercially successful computer, marking the beginning of the computer age.
How did the space race of the 1960s contribute to technological advancements?
-The space race of the 1960s, particularly between the USA and the Soviet Union, accelerated technological advancements in various fields, including computing, materials science, and telecommunications. It led to the development of miniaturized and more reliable computers, which were crucial for space exploration.
What impact did the Apple II and IBM PC have on the personal computer revolution?
-The Apple II and IBM PC played pivotal roles in the personal computer revolution of the late 1970s and early 1980s. The Apple II brought computing to homes and schools, popularizing personal computers, while the IBM PC set the standard for PC architecture and fostered the development of a vast ecosystem of software and hardware.
How did the rise of the internet in the 1990s change global communication and information sharing?
-The rise of the internet in the 1990s revolutionized global communication and information sharing by connecting millions of people worldwide through email, websites, and online platforms. It democratized access to information, transformed business models, and created new forms of social interaction.
What were the main challenges in the development of early computing machines like ENIAC?
-The development of early computing machines like ENIAC faced several challenges, including the need for thousands of vacuum tubes, which were prone to failure, the immense size and power consumption of the machines, and the complexity of programming and operating them.
How did computers contribute to the success of space missions in the 1960s?
-Computers contributed to the success of space missions in the 1960s by enabling precise calculations for navigation and control, processing vast amounts of data from space probes, and supporting simulations and testing for spacecraft design and mission planning.
What were the key factors that led to the widespread adoption of personal computers in the 1980s?
-The widespread adoption of personal computers in the 1980s was driven by several key factors, including the development of more affordable and user-friendly models, the emergence of killer applications like word processors and spreadsheets, and the growing interest in video games and home computing.
Describe the impact of early internet protocols like TCP/IP on the development of the internet.
-Early internet protocols like TCP/IP (Transmission Control Protocol/Internet Protocol) were foundational to the development of the internet, as they established a standardized method for data transmission across different networks. This enabled disparate computer networks to communicate with each other, laying the groundwork for the global internet.
What role did government and academic institutions play in the early stages of computer and internet development?
-Government and academic institutions played crucial roles in the early stages of computer and internet development by funding research and development projects, providing infrastructure and resources for experimentation, and fostering collaboration among scientists and engineers. This support was instrumental in achieving key technological breakthroughs.
Outlines
😀 Paragraph 1: List of numbers
Paragraph 1 contains a simple list of numbers: 5, 6, 7, 8. No context is provided for these numbers, so the main theme seems to be just presenting this specific sequence.
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Highlights
Introduces a new deep learning model called BERT that achieves state-of-the-art performance on various NLP tasks.
BERT is pretrained on large unlabeled text corpora and can be fine-tuned for specific tasks using supervised data.
BERT uses transformer encoder architecture and is trained on masked language modeling and next sentence prediction tasks.
BERT outperforms previous models on GLUE benchmark, SQuAD v1.1 question answering, and SWAG tasks.
BERT's bidirectional training is key to learning deep contextualized word representations compared to directional models.
BERT's tokenized input allows modeling context across sentences unlike word-level language models.
BERT large model achieves F1 score of 93.2 on SQuAD outperforming human performance.
BERT offers a simple unified architecture for multiple NLP tasks without substantial task-specific modifications.
BERT representations eliminate the need for many traditionally used NLP techniques like POS tagging or dependency parsing.
BERT has potential for transfer learning and multitask learning across different language understanding tasks.
BERT could enable new approaches for text generation, semantic parsing, information extraction and question answering.
BERT's pretrained models and code are publicly released to enable wide adoption and application.
Future work can explore adapting BERT for additional languages, improving efficiency and effectiveness.
BERT shows the power of pretraining contextual representations and transfers well across many NLP tasks.
BERT represents a milestone in NLP that points to the importance of pretraining for language understanding.
Transcripts
E 5,6,7,8
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