Wirelength and congestion estimation for routability-driven placement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Summary form only given. Historically over the years, IBM has supported a wide array of university relations programs, at the corporate, business unit/product division and local (geographical) levels. These programs have been used to support a variety of objectives that include: product innovation, testing, proof-of-concepts and showcases; talent development and recruiting; sales opportunities; corporate citizenship and visibility; and others. An effective application of these university relations resources and programs occurs within the Chief Technology Offices (CTOs) of several IBM Software Group (SWG) product divisions. A notable example is WebSphere CTO, and specifically its Emerging Technology Institute (ETI), which defines the new products, new features, new technologies etc. for the IBM WebSphere product portfolio. It maintains a pair of regional university relations centers, the Centers for Advanced Studies (CAS), located in Research Triangle Park, North Carolina (US) and Toronto (Canada), which are also co-located at two of WebSphere's largest product development sites. These centers work directly with the local universities in support of product innovation and (student) talent development and recruitment, and are part of a larger network of some 26 such centers located around the world. This talk will provide an overview of the various IBM corporate university relations programs that are managed by the Global University Programs (GUP) team. These include the IBM Shared University Relations (SUR) program, the IBM Faculty Awards and Innovation Awards programs, the IBM PhD Fellowship program, the Open Collaborative Research (OCR) program and many others. It will also provide an overview of other special programs within IBM that support educational and research institutions, including the Academic Initiative, the Systems and Technology
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it