Like many folk traditions of saying “Rabbit, rabbit” to your colleagues on the first day of the month has an unclear origin and has several variations and interpretations. We use it a reason to explore university research into food sources; the proper business of education communities everywhere. In one version of the tradition, saying “Rabbit, rabbit” or “White rabbit” as the first words upon waking on the first day of the month is believed to bring good luck for the rest of that month. It is thought to ensure good fortune, happiness, and general positivity throughout the coming weeks.
The specific origins and reasons behind this tradition are difficult to trace, as superstitions often evolve and are passed down through generations. It’s worth noting that this practice is not universally known or followed, and its popularity may vary among different regions and communities. Ultimately, the saying “Rabbit, rabbit” on the first day of the month is an example of a charming and whimsical superstition that some individuals enjoy participating in as a fun way to start the month on a positive note.
Abstract: The author’s description of the Halloween Problem demonstrates the role of cautionary tales in the history of computing. The Halloween Problem emerged in the context of structured query language optimization in relational database research. Normally, a query optimizer works by measuring system calls and paging requests and applying heuristics to the entire access path tree. Query optimization was one of the most challenging tasks facing System R researchers at IBM. These experiments with query optimization form the milieu in which the Halloween Problem emerged.
Partial map of the Internet based on the January 15, 2005 data found on opte.org. Each line is drawn between two nodes, representing two IP addresses. The length of the lines are indicative of the delay between those two nodes. This graph represents less than 30% of the Class C networks reachable by the data collection program in early 2005. Lines are color-coded according to their corresponding RFC 1918 allocation
Starting 2023 we break down our coverage of education community energy codes and standards into two tranches:
Energy 200: Codes and standards for building premise energy systems. (Electrical, heating and cooling of the building envelope)
Energy 300: Codes and standards that support the energy systems required for information and communication technology
Energy 400: Codes and standards for energy systems between campus buildings. (District energy systems including interdependence with electrical and water supply)
A different “flavor of money” runs through each of these domains and this condition is reflected in best practice discovery and promulgation. Energy 200 is less informed by tax-free (bonded) money than Energy 400 titles.
Some titles cover safety and sustainability in both interior and exterior energy domains so we simply list them below:
There are other ad hoc and open-source consortia that occupy at least a niche in this domain. All of the fifty United States and the Washington DC-based US Federal Government throw off public consultations routinely and, of course, a great deal of faculty interest lies in research funding.
Please join our daily colloquia using the login credentials at the upper right of our home page.
ICYMI – here is our 50th anniversary lecture from Professor Helen Thompson on the 1970s energy crises and what we can learn from it, with some great questions from our audience! https://t.co/9XUqc3fx5fpic.twitter.com/zHvqY8HYL1
“The greatest danger in modern technology isn’t that machines will begin to think like people, ut that people will begin to think like machines.” — Michael Gazzaniga
The “next big thing” reveals itself in hindsight. Some areas of interest and potential advancements include:
Edge Computing: Edge computing brings computation closer to the data source, reducing latency and bandwidth usage. It enables processing and analysis of data at or near the edge of the network, which is especially important for applications like IoT, real-time analytics, and autonomous systems.
Quantum Computing: Quantum computing holds the promise of solving complex problems that are currently beyond the capabilities of classical computers. Cloud providers are exploring ways to offer quantum computing as a service, allowing users to harness the power of quantum processors.
Serverless Computing: Serverless computing abstracts away server management, enabling developers to focus solely on writing code. Cloud providers offer Function as a Service (FaaS), where users pay only for the actual execution time of their code, leading to more cost-effective and scalable solutions.
Multi-Cloud and Hybrid Cloud: Organizations are increasingly adopting multi-cloud and hybrid cloud strategies to avoid vendor lock-in, enhance resilience, and optimize performance by distributing workloads across different cloud providers and on-premises infrastructure.
Artificial Intelligence and Machine Learning: Cloud providers are integrating AI and ML capabilities into their platforms, making it easier for developers to build AI-driven applications and leverage pre-built models for various tasks.
Serverless AI: The combination of serverless computing and AI allows developers to build and deploy AI models without managing the underlying infrastructure, reducing complexity and operational overhead.
Extended Security and Privacy: As data privacy concerns grow, cloud providers are investing in improved security measures and privacy-enhancing technologies to protect sensitive data and ensure compliance with regulations.
Containerization and Kubernetes: Containers offer a lightweight, portable way to package and deploy applications. Kubernetes, as a container orchestration tool, simplifies the management of containerized applications, enabling scalable and resilient deployments.
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwBpic.twitter.com/GkAXrHoQ9T
