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Diversity In Computing
Diversity in computing refers to the representation and inclusion of underrepresented groups, such as women, people of color, individuals with disabilities, and LGBT, LGBTQ+ individuals, in the field of computing. The computing sector, like other STEM fields, lacks Diversity, equity, and inclusion, diversity in the United States. Despite women constituting around half of the U.S. population they still are not properly represented in the computing sector. Racial minorities, such as African Americans, Hispanics, and American Indians or Alaska Natives, also remain significantly underrepresented in the computing sector. Two issues that cause the lack of diversity are: # Pipeline: the lack of early access to resources # Culture: exclusivity and discrimination in the workplace The lack of diversity can also be attributed to limited early exposure to resources, as students who do not already have computer skills upon entering college are at a disadvantage in computing majors. There is al ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Women Who Code Training
A woman is an adult female human. Before adulthood, a female child or Adolescence, adolescent is referred to as a girl. Typically, women are of the female sex and inherit a pair of X chromosomes, one from each parent, and women with functional uteruses are capable of pregnancy and giving childbirth, birth from puberty until menopause. More generally, sex differentiation of the female fetus is governed by the lack of a present, or functioning, ''SRY'' gene on either one of the respective sex chromosomes. Sex differences in human physiology, Female anatomy is distinguished from male anatomy by the female reproductive system, which includes the ovaries, fallopian tubes, uterus, vagina, and vulva. An adult woman generally has a wider pelvis, broader hips, and larger breasts than an adult man. These characteristics facilitate childbirth and breastfeeding. Women typically have less facial and other body hair, have a higher body fat composition, and are on average shorter and less ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Large Language Models
A large language model (LLM) is a language model trained with Self-supervised learning, self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially Natural language generation, language generation. The largest and most capable LLMs are Generative pre-trained transformer, generative pretrained transformers (GPTs), which are largely used in Generative artificial intelligence, generative Chatbot, chatbots such as ChatGPT or Gemini (chatbot), Gemini. LLMs can be Fine-tuning (deep learning), fine-tuned for specific tasks or guided by prompt engineering. These models acquire Predictive learning, predictive power regarding syntax, semantics, and Ontology (information science), ontologies inherent in human Text corpus, language corpora, but they also inherit inaccuracies and Algorithmic bias, biases present in the Training, validation, and test data sets, data they are trained in. History Before the emergence of transformer-bas ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Women In Computing
Women in computing were among the first programmers in the early 20th century, and contributed substantially to the industry. As technology and practices altered, the role of women as programmers has changed, and the recorded history of the field has downplayed their achievements. Since the 18th century, women have developed scientific computations, including Nicole-Reine Lepaute's prediction of Halley's Comet, and Maria Mitchell's computation of the motion of Venus. The first algorithm intended to be executed by a computer was designed by Ada Lovelace who was a pioneer in the field. Grace Hopper was the first person to design a compiler for a programming language. Throughout the 19th and early 20th century, and up to World War II, programming was predominantly done by women; significant examples include the Harvard Computers, codebreaking at Bletchley Park and engineering at NASA. After the 1960s, the computing work that had been dominated by women evolved into modern software ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
STEM Pipeline
The STEM pipeline is the educational pathway for students in the fields of science, technology, engineering, and mathematics (STEM). The start and end of this STEM pipeline are disputed, but it is often considered to begin in early education and extend into graduation or an adult career in STEM. Description The "pipeline" metaphor is based on the idea that having sufficient graduates requires both having sufficient input of students at the beginning of their studies, and retaining these students through completion of their academic program. The STEM pipeline is a key component of workplace diversity and of workforce development that ensures sufficient qualified candidates are available to fill scientific and technical positions. The STEM pipeline was promoted in the United States from the 1970s onwards, as “the push for STEM (science, technology, engineering, and mathematics) education appears to have grown from a concern for the low number of future professionals to fill STEM ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Gender Disparity In Computing
Gender disparity in computing concerns the disparity between the number of men in the field of computing in relation to the lack of women in the field. Originally, computing was seen as a female occupation. As the field evolved, the demographics changed, and the gender gap shifted from female dominated to male dominated. The believed need for more diversity and an equal gender gap has led to public policy debates regarding gender equality. Many organizations have sought to create initiatives to bring more women into the field of computing. Background In the early days of computers and computing, managers readily hired women as programming was seen as a low-skill clerical occupation, similar to telephone operators and typists. They often worked as "human computers," making complicated calculations and working in large groups, such as the Harvard Computers. They also worked on ballistic calculations and cryptography. However, since 1843 women have been making contributions to com ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
