In this paper, we address the problem of cost-sensitive hyperparameter optimization (HPO) built upon freeze-thaw Bayesian optimization (BO). Specifically, we assume a scenario where users want to early-stop the HPO process when the expected performance improvement is not satisfactory with respect to the additional computational cost. Motivated by this scenario, we introduce utility in the freezethaw framework, a function describing the trade-off between the cost and performance that can be estimated from the user's preference data. This utility function, combined with our novel acquisition function and stopping criterion, allows us to dynamically continue training the configuration that we expect to maximally improve the utility in the future, and also automatically stop the HPO process around the maximum utility. Further, we improve the sample efficiency of existing freezethaw methods with transfer learning to develop a specialized surrogate model for the cost-sensitive HPO problem. We validate our algorithm on established multifidelity HPO benchmarks and show that it outperforms all the previous freezethaw BO and transfer-BO baselines we consider, while achieving a significantly better trade-off between the cost and performance. Our code is publicly available at https://github.com/db-Lee/CFBO.

Artificial Intelligence (AI) is impacting jobs across all strata of business and IT. AI is being incorporated into customer relationship management (CRM), enterprise resource planning (ERP), business intelligence (BI), analytics, cybersecurity, marketing, sales, management, and more. "There isn't a shift in AI jobs as much as AI is causing a shift in other roles," said Patrick Conte, chief commercial officer at Opsani. Conte gave the example of cloud application optimization, where AI is allowing DevOps engineers to focus on development and testing and not as much on the size of workloads.

How much digital content do you consume live? Be it a regular TV or Movie show, podcast of YouTube episode, just about everything outside of the live local news, am radio, and big events (and even those, I usually DVR to get some fast-forward time in cue). The triad of creation, distribution, and consumption are no longer bound by time and space. Not for everything, nothing like the shared experience at a live show. But for most of the things we watch, read, and listen too, it's not synchronous, appointment consumption.

The IEEE Standards Association's Industry Connection program, with its International Roadmap for Devices and Systems (IRDS), takes over the Semiconductor Industry Association's International Technology Roadmap for Semiconductors (ITRS).

"The advantages that some applications tap into--particularly machine learning and deep learning, which require dense integration of memory and logic--go away." Adding to the challenge: a 3D design increases the risk of failures within the chip. "Producing a chip that functions with 100% integrity is impossible. The system must be fail-tolerant and deal with errors," he adds. Regardless of the approach and the combination of technologies, researchers are ultimately left with no perfect option.

For several decades now, Georgia Tech professor Tom Conte has been studying how to improve computers: "How do we make them faster and more efficient next time around versus what we just made?" And for decades, the principle guiding much of the innovation in computing has been Moore's law -- a prediction, made by Intel co-founder Gordon Moore, that the number of transistors on a microprocessor chip would double every two years or so. What it's come to represent is an expectation, as The New York Times puts it, that "engineers would always find a way to make the components on computer chips smaller, faster and cheaper." Lately, faith in Moore's Law has been fading. "I guess I see Moore's Law dying here in the next decade or so, but that's not surprising," Moore said in a 2015 interview with a publication of the Institute of Electrical and Electronics Engineers.

This 2005 silicon wafer with Pentium 4 processors was signed by Gordon Moore for the 40th anniversary of Moore's law. This 2005 silicon wafer with Pentium 4 processors was signed by Gordon Moore for the 40th anniversary of Moore's law. For several decades now, Georgia Tech professor Tom Conte has been studying how to improve computers: "How do we make them faster and more efficient next time around versus what we just made?" And for decades, the principle guiding much of the innovation in computing has been Moore's law -- a prediction, made by Intel co-founder Gordon Moore, that the number of transistors on a microprocessor chip would double every two years or so. What it's come to represent is an expectation, as The New York Times puts it, that "engineers would always find a way to make the components on computer chips smaller, faster and cheaper."

Video game veterans who owned an Atari video game console are well aware of its biggest hits: Space Invaders, Asteroids, Combat. But a new book launching this fall pays tribute to the artwork used to sell these classics. Dynamite Entertainment announced Friday it will release the book The Art of Atari, a 350-page retrospective ( 39.99) digging into the history of the video game company through art work including marketing materials and classic box art. "The box art up to this point has never really been represented with any sort of integrity or respect that it deserves," says Robert V. Conte, a pop culture consultant and one of the co-authors of The Art of Atari. The artwork was pulled together from museums and private collections, including Conte's own stash of Atari games.

This text provides with an introduction to the modern approach of artificiality and simulation in social sciences. It presents the relationship between complexity and artificiality, before introducing the field of artificial societies which greatly benefited from the computer power fast increase, gifting social sciences with formalization and experimentation tools previously owned by "hard" sciences alone. It shows that as "a new way of doing social sciences", artificial societies should undoubtedly contribute to a renewed approach in the study of sociality and should play a significant part in the elaboration of original theories of social phenomena.