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Evensong “Melody in F”

Evensong services are typically held in cathedrals, collegiate chapels, and large parish churches, where choral music plays a prominent role. These services often feature the singing of psalms, choral anthems, hymns, and other sacred music.  The Evensong tradition holds a significant place in Western civilization due to its historical and cultural importance. It has provided a space for prayer, reflection, and worship for centuries, connecting individuals with their faith and providing a sense of spiritual solace.

The beauty and solemnity of the music performed during Evensong services have also contributed to the development of Western sacred music, with composers creating choral works specifically for these occasions.

Polska

History of Western Civilization Told Through the Acoustics of its Worship Spaces

Evensong “If Ye Love Me”

“Evensong” is a traditional Anglican church service that includes hymns, prayers, and readings from the Bible. In the British university choral tradition, “Evensong” refers to a choral service that is performed by a university choir in a church or chapel setting.  The most widely performed “Evensongs” in the British university choral tradition are those performed by the choirs of Oxford and Cambridge universities.  

Other universities in the UK, such as Durham, St. Andrews, and Edinburgh, also have strong choral traditions and perform regular “Evensongs.” These services often include music by composers such as Thomas Tallis, William Byrd, Henry Purcell, and other great composers of choral music from the Renaissance and Baroque eras.


“If ye love me” is a motet composed by the English Renaissance composer Thomas Tallis. It is a four-part choral work that is widely regarded as one of his most popular and enduring compositions.  It was first published in 1565 in Archbishop Parker’s Psalter, which was the first musical work to be printed in England with music notation. “If ye love me” has since become a staple of choral repertoire and is often performed at weddings, funerals, and other occasions.

Quantum Information Science

Quantum information science is a field of study that combines the principles of quantum mechanics and information theory to develop new methods for processing, storing, and transmitting information. It aims to use the unique properties of quantum systems, such as superposition and entanglement, to create more powerful and secure computing and communication technologies than are possible with classical systems.

In quantum information science, information is represented using quantum bits, or qubits, which can exist in superposition states, allowing for simultaneous processing of multiple values. By entangling qubits, it is possible to perform operations on them collectively, leading to faster and more efficient computation.

The field of quantum information science was founded in the 1980s and 1990s by a number of researchers who realized that the principles of quantum mechanics could be used to develop new methods for processing, transmitting, and securing information. Some of the key figures who are credited with founding the field of quantum information science include:

  1. Paul Benioff: In 1981, Benioff proposed the concept of a quantum computer, which would use quantum mechanics to perform calculations faster than a classical computer.
  2. Richard Feynman: In 1982, Feynman gave a lecture in which he proposed the idea of using quantum systems to simulate the behavior of other quantum systems, which later became known as quantum simulation.
  3. David Deutsch: In 1985, Deutsch proposed the concept of a quantum algorithm, which would use quantum mechanics to perform certain calculations exponentially faster than a classical computer.
  4. Peter Shor: In 1994, Shor developed a quantum algorithm for factoring large numbers, which demonstrated the potential of quantum computers to break certain encryption schemes and sparked a renewed interest in quantum information science.

These and other researchers made significant contributions to the development of quantum information science, and the field has since grown to encompass a wide range of topics, including quantum cryptography, quantum communication, and quantum sensing, among others.

 

Quantum Theory of the Electron: Paul Dirac

Evensong “Capricho Arabe”

Jamie Dupuis,originally from New Liskeard Ontario, studied under Philip Candelaria at the Cambrian College Sudbury Campus during which time he won a scholarship to the Musicians Institute in Hollywood, California.  Since graduating he has worked as a professional musician, doing sessions, solo performances, weddings, bar gigs, festivals, composition, albums and YouTube videos featuring his virtuosity on the harp guitar.

Creative Arts, Music, & Design

Ontario

Software Engineering Ethics Education

 

Four Opportunities for SE Ethics Education

Alicia M. Grubb
Smith College, Northampton, Massachusetts

 

Abstract:  Many software engineers direct their talents towards software systems which do not fall into traditional definitions of safety critical systems, but are integral to society (e.g., social media, expert advisor systems). While codes of ethics can be a useful starting point for ethical discussions, codes are often limited in scope to professional ethics and may not offer answers to individuals weighing competing ethical priorities. In this paper, we present our vision for improving ethics education in software engineering. To do this, we consider current and past curricular recommendations, as well as recent efforts within the broader computer science community. We layout challenges with vignettes and assessments in teaching, and give recommendations for incorporating updated examples and broadening the scope of ethics education in software engineering.
CLICK HERE to order complete paper

Smith College | Hampshire County Massachusetts

Sam Altman: OpenAI

There are no generally accepted best practices specifically tailored for Artificial General Intelligence (AGI) development, mainly because AGI remains largely theoretical and hasn’t been achieved yet. However, there are various principles, guidelines, and best practices within the broader field of artificial intelligence and machine learning that could inform AGI development efforts. Some of these include:

Ethical AI Principles: Many organizations and research institutions have proposed ethical principles for AI development, focusing on issues like fairness, transparency, accountability, and safety. These principles could be adapted and extended to AGI development.

Safety Guidelines: Concepts like AI alignment, robustness, and safety engineering are crucial for AGI development to ensure that the system behaves in desirable ways and doesn’t pose risks to humanity.

Interdisciplinary Approach: AGI development may require insights from various fields such as computer science, cognitive science, neuroscience, philosophy, and psychology. Collaborative efforts among experts from different disciplines can help in shaping best practices for AGI.

Research Ethics: Guidelines for conducting ethical research in areas like human subjects research, data privacy, and responsible publication are relevant for AGI development as well, especially considering the potential societal impacts of AGI.

Transparency and Openness: Promoting transparency and open research practices can help in fostering trust and collaboration within the AGI research community. Open access to data, code, and research findings can facilitate progress in AGI development while mitigating risks.

Risk Assessment and Mitigation: AGI researchers should consider potential risks and unintended consequences of their work, such as job displacement, economic disruption, and existential risks. Developing strategies for risk assessment and mitigation is essential.

Continuous Learning and Adaptation: AGI systems are expected to be capable of learning and adapting autonomously. Therefore, best practices for continual learning, model updating, and adaptation in AI systems are relevant for AGI development.

While there may not be specific standards or best practice literature exclusively dedicated to AGI, integrating insights and principles from related fields can guide responsible and effective AGI research and development. Additionally, as progress is made in AI research, new standards and best practices may emerge to address the unique challenges of AGI.

Evensong “This is My Song”

 

“This Is My Song” is a hymn that was written by Lloyd Stone in 1934, with music composed by Jean Sibelius, a Finnish composer. The hymn was originally titled “A Song of Peace” and was written during a time of global unrest, just before World War II. Lloyd Stone was an American minister, and he wrote the lyrics to express his desire for peace and unity among nations.

The hymn gained popularity for its message of peace and hope during a turbulent period in world history. Over the years, it has been included in various hymnals and sung in churches and gatherings around the world. The combination of Stone’s heartfelt lyrics and Sibelius’s stirring music has made it a beloved hymn that continues to be sung to this day. The hymn is often used in interfaith and ecumenical settings to promote the idea of peace among all nations and people.

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