government plans to engage and partner with other nations on a range of technology issues, including AI."When it comes to AI, again, as confident as we are in its potential, we're deeply aware of its risks: from
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It is frequently necessary to be optimistic about the information contained in interval-valued intuitionistic fuzzy sets. Furthermore, in decision-making problems, cross-time information is an important parameter. As a result, a new distance measure has been developed to fill this gap in the ...
One of the core directions ofProject Malmois to develop AI capable of rich interactions. Whether that means learning new skills to apply to challenging problems, understanding complex environments, or knowing when to enlist the help of humans, reinforcement learning (RL) is a...
In a multi-user environment, the optimistic concurrency control protects you from accidentally deleting or updating wrong version of an item. As such, items are protected against the infamous "lost update" or "lost delete" problems.In an Azure Cosmos DB account configured with multi-region write...
Many (82%) C-suite professionals say their executive leadership and boards of directors are pushing for AI adoption. However, the report states that this approach might cause implementation problems down the line. “This may highlight a lack of appreciation for the difficulty and knowledge needed...
The second and third problems occur when the switching rule is uncontrolled, and we seek either the worst-case cost when the rule is unknown, or respectively the expected cost when the...doi:10.1016/j.engappai.2017.08.020Koppany Mathe...
As needlepunch sales lag, manufacturers remain optimistic: plagued by overcapacity problems, needlepunch manufacturers are looking for growth opportunities.Lagging. Stagnant. Saturated. These are a few of the negative words needlepunch manufacturers are using to describe the current state of their market...
GREAT EXPECTATIONS? ANALYSTS ARE OPTIMISTIC ABOUT INDUSTRY SALES IN 2004, BUT SOME SEE PROBLEMS ALONG THE WAY.Fleischer, JoHFN: The Weekly Newspaper for the ...
Min-based qualitative possibilistic networks are one of the effective tools for a compactrepresentation of decision problems under uncertainty. The exact approaches for computingdecision based on possibilistic networks are limited by the size of the possibility distributions.Generally, these approaches are ...