The COVID-19 pandemic continues to bring up various topics discussed or debated on social media. In order to explore the impact of pandemics on people's lives, it is crucial to understand the public's concerns and attitudes towards pandemic-related entities (e.g., drugs, vaccines) on social media. However, models trained on existing named entity recognition (NER) or targeted sentiment analysis (TSA) datasets have limited ability to understand COVID-19-related social media texts because these datasets are not designed or annotated from a medical perspective. In this paper, we release METS-CoV, a dataset containing medical entities and targeted sentiments from COVID-19 related tweets. METS-CoV contains 10,000 tweets with 7 types of entities, including 4 medical entity types (Disease, Drug, Symptom, and Vaccine) and 3 general entity types (Person, Location, and Organization). To further investigate tweet users' attitudes toward specific entities, 4 types of entities (Person, Organization, Drug, and Vaccine) are selected and annotated with user sentiments, resulting in a targeted sentiment dataset with 9,101 entities (in 5,278 tweets). To the best of our knowledge, METS-CoV is the first dataset to collect medical entities and corresponding sentiments of COVID-19 related tweets.

It's been instructive to see "Ballerina," which opens this week, so soon after the new "Mission: Impossible" installment. In the latter, it's hard to top Tom Cruise's intrepid stunt work, which reaches its zenith in a pair of extended sequences (one in a submarine, the other on biplanes), but the story, involving a diabolical scheme using A.I. to commandeer and launch the world's nuclear weaponry, is a mere pretext. Going to "Mission: Impossible" for the story is like going to Casablanca for the waters. In contrast, "Ballerina"--like the four John Wick films that it's spun off from--is, strangely, far better at story than at action. The first John Wick film is the weakest, because the framework for the franchise was still unformed: a retired hit man (Keanu Reeves) gets back into action to respond to a mobster's attacks.

While Large Language Models (LLMs) are fundamentally next-token prediction systems, their practical applications extend far beyond this basic function. From natural language processing and text generation to conversational assistants and software use, LLMs have numerous use-cases, and have already acquired a significant degree of enterprise adoption. To evaluate such models, static evaluation datasets, consisting of a set of prompts and their corresponding ground truths, are often used to benchmark the efficacy of the model for a particular task. In this paper, we provide the basis for a more comprehensive evaluation framework, based upon a traditional game and tool-based architecture that enables a more overarching measurement of a model's capabilities. For simplicity, we provide a generalized foundation that can be extended, without significant alteration, to numerous scenarios, from specific use cases such as supply chain management or financial reasoning, to abstract measurements such as ethics or safety.

Will.i.am has been embracing innovative technology for years. Now he is using artificial intelligence in an effort to transform how we listen to the radio. The musician, entrepreneur and tech investor has launched RAiDiO.FYI, a set of interactive radio stations themed around topics like sport, pop culture, and politics. Each station is fundamentally interactive: tune in and you'll be welcomed by name by an AI host "live from the ether," the Black Eyed Peas frontman tells TIME. Hosts talk about their given topic before playing some music.

In childhood, we used to write an essay on "Science is a miracle as well as a curse." Today, Artificial intelligence (A.I.) has changed the way we live, work, and communicate. Many industries have been transformed through it, like I.T., healthcare, finance, transportation, and manufacturing. The need for A.I. security has become more critical as it keeps evolving and becoming more sophisticated. A.I. can make our lives easier but can also be a cyber threat if misused.

I've published a couple of articles lately about the need for organizations to have an artificial intelligence (AI) strategy and how AI can help organizations with employee development. It's possible that with all the conversation about AI technologies in today's news, organizations are talking about what AI could mean for their operation and how to get started. So, I wanted to bring in another technology expert to talk specifically about the things that organizations need to consider when looking at AI tools. Matthew Geohring, MS, is a technology solutions consultant for global insurance brokerage Hub International's HUB People & Technology Consulting Practice. Prior to joining HUB, Matthew spent time as both a human resources generalist and an in-house senior HRIS analyst. I'm excited to be sharing his thoughts with you today.

Every government has a requirement to ensure that laws are not only equitable to all citizens but also applicable. Philosophers for centuries have argued and debated about the relationship of the individual in a society, and the concept of fairness and equality is generally a main driving force in democratic populations. As we've seen with government polarization, laws can become really slow to get adopted. Usually, elected officials pass a law to assign a set of responsibilities to an agency or to a department. This responsible body can update the regulations as they see fit for the duration of its mandate.

Deep-sea mining would cause "extensive and irreversible" damage to sensitive habitats.NOAA This story was originally published by the Guardian and is reproduced here as part of the Climate Desk collaboration. An investigation by conservationists has found evidence that deep-seabed mining of rare minerals could cause "extensive and irreversible" damage to the planet. The report, published on Monday by the international wildlife charity Fauna & Flora, adds to the growing controversy that surrounds proposals to sweep the ocean floor of rare minerals that include cobalt, manganese and nickel. Mining companies want to exploit these deposits--which are crucial to the alternative energy sector--because land supplies are running low, they say.

Welcome to insideBIGDATA's annual technology predictions round-up! The big data industry has significant inertia moving into 2023. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. There are many reasons why a customer would choose to implement their architecture on multiple clouds whether it's technology, market, or business-driven. When this happens, many times this leads to transactional and operational data being stored on multiple cloud platforms. The challenge this brings is how to gain insight into these without resorting to implementing multiple disparate data platforms. Historically data virtualization tools have been ...

First line: Management (process/model owners) has the primary responsibility to own and manage risks associated with development and day-to-day operational activities. Management should have a baseline understanding of risks in AI applications and where they manifest themselves in the specific models and data relevant to the organization's use cases. Second line: Risk management provides oversight in the form of frameworks, policies, procedures, methodologies, and tools. The second-line function should have a deep understanding of the AI-specific risks and related controls and mitigation. In assessing the first-line functions, internal audit should assess whether AI development and monitoring adheres to the organization's policies, best practices for model development and relevant regulations.