Understanding AI and machine learning should be a priority for manufacturers and distributors looking to do better business. Here’s why

AirTag tweaks: iOS 15.4 packs a few changes to the way Apple's potentially creepy trackers work. Among other things, the update includes better recognition for nearby AirPods, so they won't prompt a concerning "unknown accessory detected" warning, and the ability to use the Find My feature on newer iPhones to lead you to AirTags placed around you. (Previously, you could only do this for AirTags you owned and set up.)

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Many unanswerable adversarial questions fool the question-answer (QA) system with some plausible answers. Building a robust, frequently asked questions (FAQ) chatbot needs a large amount of diverse adversarial examples. Recent question generation methods are ineffective at generating many high-quality and diverse adversarial question-answer pairs from unstructured text. We propose the diversity controllable semantically valid adversarial attacker (DCSA), a high-quality, diverse, controllable method to generate standard and adversarial samples with a semantic graph. The fluent and semantically generated QA pairs fool our passage retrieval model successfully. After that, we conduct a study on the robustness and generalization of the QA model with generated QA pairs among different domains. We find that the generated data set improves the generalizability of the QA model to the new target domain and the robustness of the QA model to detect unanswerable adversarial questions.

Developing an automated solution for creating intents, utterances, and entities directly from a business's frequently asked questions (FAQ) can help developers and software teams save considerable time because they do not have to write it manually. In this article, learn about an artificial intelligence (AI)-infused automation tool to convert a business's FAQs to Watson Assistant-ready chatbot input. You can then easily integrate the solution with minimal effort to various input channels such as WhatsApp, Telegram, Slack, Facebook Messenger, and Live Chat. The article assumes that you have a basic understanding of a chatbot application, such as intents, entities, and knowledge corpus training. To understand the impact better, you should have basic development skills in API integration, Python, and the Watson Assistant SDK, as well as fundamental AI knowledge. FAQs are important for any company because they provide clarity on the company, their products, and their services.

The global AI in fintech market size is projected to increase to $46,881.9 million by 2030 from $7,702.7 million in 2020, at a 19.8% CAGR between 2020 and 2030. With AI, the efficiency of financial processes and the security of money-related data can be improved massively. For instance, in regard to fraud detection, AI monitors people's online transactional behavior so that any deviation and a potential fraud can be identified in real time and stopped right there. Moreover, AI helps in automating several processes in the banking, financial services, and insurance (BFSI) sector, such as online customer engagement via chatbots, claims processing, and answering frequently asked questions (FAQs). This not only allows BFSI companies to reduce their expenditure in hiring humans for these tasks but also engage these employees in more-important tasks, such as decision making and strategizing. AI solutions have been in a higher demand than managed and professional services because the former conduct question and answer (Q&A) processing, natural language processing (NLP) and generation, facial recognition, video and image analysis, and speech recognition.

Maintainers are preparing to release pip 20.3, with the new resolver on by default. Confusion and curiosity struck their hearts! They asked themselves: What is this new resolver? How can I learn more? Did I leave the oven on?

Artificial intelligence (AI) is transforming the landscape of 21st century marketing. Long gone are the days of throwing spaghetti on the wall and shooting in the dark to acquire new customers and to regain their business. With the amount of data growing exponentially on a daily basis, AI can help businesses scale their marketing efforts and leverage the data for actionable insights leading to greater ROI. Look up the term "marketing" and you'll find something that mentions actions or activities involving a business or company, promoting or selling products or services. Is that something that you or your company does?

Artificial intelligence (AI) is transforming the landscape of 21st century marketing. Long gone are the days of throwing spaghetti on the wall and shooting in the dark to acquire new customers and to regain their business. With the amount of data growing exponentially on a daily basis, AI can help businesses scale their marketing efforts and leverage the data for actionable insights leading to greater ROI. Look up the term "marketing" and you'll find something that mentions actions or activities involving a business or company, promoting or selling products or services. Is that something that you or your company does?

Apple is pushing back against criticism over its plan to scan photos on users iPhones and in iCloud storage in search of child sexual abuse images. In a Frequently Asked Questions document focusing on its'Expanded Protections for Children,' Apple insisted its system couldn't be exploited to seek out images related to anything other than child sexual abuse material (CSAM). The system will not scan photo albums, Apple says, but rather looks for matches based on a database of'hashes' - a type of digital fingerprint - of known CSAM images provided by child safety organizations. While privacy advocacies worry about'false positives, Apple boasted that'the likelihood that the system would incorrectly flag any given account is less than one in one trillion per year.' Apple also claims it would'refuse any such demands' from government agencies, in the US or abroad.