Rule-Based Reasoning
Deep Learning For Compliance Checks: What's New? - KDnuggets
Natural Language Processing (NLP) has long played a significant role in the compliance processes for major banks around the world. By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands. All of these areas can benefit from document processing and the use of NLP techniques to get through the process more effectively. Certain verification tasks fall beyond the realm of using traditional, rules-based NLP systems. This is where deep learning can help fill these gaps, providing smoother and more efficient compliance checks. There are several challenges that make the rules-based system more complicated to use when undergoing check routines.
Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
Luo, Ling, Wei, Chih-Hsuan, Lai, Po-Ting, Chen, Qingyu, Doฤan, Rezarta Islamaj, Lu, Zhiyong
The automatic assignment of species information to the corresponding genes in a research article is a critically important step in the gene normalization task, whereby a gene mention is normalized and linked to a database record or identifier by a text-mining algorithm. Existing methods typically rely on heuristic rules based on gene and species co-occurrence in the article, but their accuracy is suboptimal. We therefore developed a high-performance method, using a novel deep learning-based framework, to classify whether there is a relation between a gene and a species. Instead of the traditional binary classification framework in which all possible pairs of genes and species in the same article are evaluated, we treat the problem as a sequence-labeling task such that only a fraction of the pairs needs to be considered. Our benchmarking results show that our approach obtains significantly higher performance compared to that of the rule-based baseline method for the species assignment task (from 65.8% to 81.3% in accuracy).
Rules-based order crucial amid Ukraine crisis, Kishida tells Indonesian leader
Prime Minister Fumio Kishida and Indonesian President Joko "Jokowi" Widodo on Friday confirmed they will strengthen cooperation toward realizing a "Free and Open Indo-Pacific" amid China's growing assertiveness in the region and Russia's invasion of Ukraine. Widodo said Indonesia and the Association of Southeast Asian Nations stand ready to build cooperation with their partners, and Kishida, who is on the first stop of his trip to Southeast Asia and Europe, underscored the importance of upholding the rules-based international order. "We are facing many challenges, including the situations in Ukraine, the East and South China seas and North Korea, and maintaining and strengthening the rules-based, free and open international order has become more important," Kishida said during a joint news conference after the summit. Kishida said that based on such understanding, the two sides confirmed they will strengthen cooperation toward realizing a Free and Open Indo-Pacific, an initiative that Japan has been pushing, and the ASEAN Outlook spearheaded by Indonesia. Japan views Indonesia, this year's host of the Group of 20 summit to be held in November and a key economy in Southeast Asia, as a strategic partner sharing universal values such as democracy and the rule of law.
What intelligent workload balancing means for RPA - Information Age
The relatively new concept of intelligent workload balancing is an important one to consider when operating RPA, because it determines whether tasks are more suitable for human employees or their digital colleagues. With this in mind, five industry experts identify particular ways in which this can be applied to this space. Firstly, intelligent workload balancing can be used to check that bots can adhere to rules set up by the company. "The ability to automatically decide if an activity requires human intervention or if it can be performed by a bot is usually called'intelligent workload balancing'," said Sathya Srinivasan, vice-president, solutions consulting (Partners) at Appian. "The intelligence comes from the business rules that determine who is the best candidate to complete the work โ human or bot. If human, which department, group, experience level or management is best to handle this case, and if bot, what does it take to bring a bot in, how flexible can a bot cater to different types of requests. Chris Duddridge, area vice president and managing director UKI at UiPath, explores the link between compliance and robotic process automation. "To be truly effective, a bot must be able to work across a wide set of parameters.
Artificial intelligence: a winning strategy for payments - FinTech Futures
The race is on to reduce fraud and continue improving payment flows. Artificial intelligence (AI) offers a winning strategy, says Chalapathy Neti, head, AI and machine learning platform, Swift. AI is out of the lab and already well on its way to delivering smarter tech solutions in our daily lives. Just look at the way Amazon and Netflix use machine learning algorithms to continually serve us fresh content and products based on our previous behaviours. We get a better, more personalised experience while they strengthen their business models.
Data Mining: Market Basket Analysis with Apriori Algorithm
Some of us go to the grocery with a standard list; while some of us have a hard time sticking to our grocery shopping list, no matter how determined we are. No matter which type of person you are, retailers will always be experts at making various temptations to inflate your budget. Remember the time when you had the "Ohh, I might need this as well." Retailers boost their sales by relying on this one simple intuition. People that buy this will most likely want to buy that as well. People who buy bread will have a higher chance of buying butter together, therefore an experienced assortment manager will definitely know that having a discount on bread pushes the sales on butter as well.
In AI, You Want to Be a Jazz Band
As I continue working on exciting research in Artificial Intelligence, I like making parallels with other areas of science and life in general. I think there is a perfect metaphor from music that explains the AI market. Since helping people fight their health problems is my passion, I'll focus on AI in healthcare. The AI market is currently overwhelmingly at the two opposite extremes -- a high school band and a 7,500-person orchestra. Both extremes are perfectly acceptable and have their audiences. However, there is not much in the middle.
TikTok users will soon have an easier way to add popular GIFs
TikTok users will soon have even more ways to make their videos stand out from the crowd. The service has announced the TikTok Library, which will grant creators access to more entertainment-based content. You'll be able to find GIFs, clips from your favorite TV shows, memes and other content, which you can slot into your TikToks. Although there are already ways to insert GIFs from Giphy into TikTok videos, it should be easier to do that once you have access to the library. Until now, Giphy GIFs have been available as Stickers and via the Green Screen effect.
Privacy-Preserving AI for Future Networks
Telco networks and systems evolved over the years to deal with novel services. Today, they are highly complex, distributed ecosystems composed of very diverse sub-environments (see Figure 1). They include myriad types of devices, connectivity means, protocols, and infrastructures often managed by different teams with varying expertise and tools, or even different companies. High-level view of the complexity of telcos' networks and systems with a large variety of devices, connectivity means, protocols, and infrastructures. Traditional network management solutions (for example, network over-provisioning, rule-based systems, reactive approaches) are reaching their limits in dealing with this complex ecosystem.