Have you ever dreamed of chatting to your favourite celebrity? Well, now that dream could become a reality, thanks to Meta's latest update. The tech giant has revealed the Hollywood A-listers who will lend their voices to its AI chatbot. Users will able to choose between five famous voices, including some that are instantly recognisable. So, which one will you choose for your Meta AI chatbot?

In recent years, Artificial intelligence products and services have been offered potential users as pilots. The acceptance intention towards artificial intelligence is greatly influenced by the experience with current AI products and services, expectations for AI, and past experiences with ICT technology. This study aims to explore the factors that impact AI acceptance intention and understand the process of its formation. The analysis results of this study reveal that AI experience and past ICT experience affect AI acceptance intention in two ways. Through the direct path, higher AI experience and ICT experience are associated with a greater intention to accept AI. Additionally, there is an indirect path where AI experience and ICT experience contribute to increased expectations for AI, and these expectations, in turn, elevate acceptance intention. Based on the findings, several recommendations are suggested for companies and public organizations planning to implement artificial intelligence in the future. It is crucial to manage the user experience of ICT services and pilot AI products and services to deliver positive experiences. It is essential to provide potential AI users with specific information about the features and benefits of AI products and services. This will enable them to develop realistic expectations regarding AI technology.

Windows Copilot will usher an AI assistant into Windows 11, eight years after Microsoft launched its Cortana assistant alongside Windows 10--then killed it. Windows Copilot will debut in June, Microsoft will announce this week at its Build developer conference, as a preview for Windows 11. That will most likely set up Windows Copilot for a potential feature release in the fall, though Microsoft hasn't said when it will release the new feature. It's no surprise that AI has emerged as a top priority at Microsoft. However, Microsoft has introduced AI to its users first as a web service with Bing Chat, integrating AI within the Edge Copilot, then adapting it via the Microsoft 365 Copilot to Office apps like Word, Excel, and Teams, and later to Edge.

Movate (formerly CSS Corp), a digital technology and customer experience (CX) services provider, announced the launch of its new global delivery center in Atal Bihari Vajpayee Tower, Ébène, Mauritius. It will leverage highly skilled local talent with multilingual capabilities, especially in French and English, to deliver high-tech and high-touch services in Customer Experience Management and Enterprise Product Services. Movate plans to employ over 200 Mauritian skilled technology professionals and this move is a part of its global expansion strategy to address the growing client portfolios and their business needs globally. Movate expands its operations in Mauritius with a new delivery center; plans to employ over 200 Mauritian skilled technology professionals in the next one year. The new state-of-the-art facility at the Atal Bihari Vajpayee Tower is a 300-seater workspace.

CellBlock Fire Containment Systems announced its modular battery charging rack has obtained regulatory approval by the FDNY for use in charging lithium-ion batteries. The Charge Safe Battery Rack is the first and only approved system allowing for the bypass of NYC fire code 309.3, requiring 2 feet of separation between charging batteries not only adjacent but omnidirectional. "Our team is excited to not only offer safety in storage but passive fire suppression and measurable cost savings as perhaps the most impressive added value." "Until now, even a fortified 10 10 battery fire area would be spatially inadequate for 50kWh of stored energy. Our system is not only the safest charging system, it requires 1/12th the space" said Dylan Vandemark, CellBlock FCS CTO and Founder.

Start typing'artificial intelligence will change' into a search engine and you will see suggested sentence endings like'the world', 'everything in your lifetime' and'the face of business in the next decade.' Search a little further and it will become clear that AI and machine learning projects are not only driving advancements, but are integral to their success. According to research from Accenture, 85% of executives in capital-intensive industries say they won't achieve their growth objectives unless they scale AI. At the same time, research from MIT Sloan suggests that the gap between organizations successfully gaining value from data science and those struggling to do so is widening. As we know, data science and machine learning are the engine behind AI applications, as it is through processing data that AI learns how to interpret our world and respond as we want it to. If AI is to make a real impact on companies and their customers, companies need a new approach to machine learning.

In light of the April 2021 announcement of the world's first legislative framework for regulating Artificial Intelligence (AI), the European Artificial Intelligence Act (EU AIA), now is an opportune time for developers to revisit their strategies for testing AI applications. Incoming regulations mean that the group of stakeholders who care about your testing results just got bigger and more involved. The stakes are high, not least because companies that violate the terms of the legislation could face fines higher than those levied under the General Data Protection Act (GDPR). For the purpose of transparency, certain types of AI also have to make their accuracy metrics available to users, which adds to the pressure to get functional testing right. Following on from Applause's step-by-step guide to training and testing your AI algorithm, this article summarizes how developers should be testing AI applications in anticipation of the new era of AI regulations.

Hackathons have been my life for the last year. Staying up until 4 AM every weekend building advanced projects under a time crunch produces an unmatched adrenaline rush. While hackathons are surely enjoyable no matter the outcome, it is not the same without a win. However, winning is not easy, and learning how to do so can take a long time. As a result, many new hackers become discouraged and don't continue. Lucky for me, this was not the case, as I was able to quickly develop strategies that helped me be successful.

Curiosity Artificial Intelligence also known as curiosity AI, artificial curiosity, AI curiosity, curious algorithm and algorithmic curiosity is the simulation of human curiosity in Artificial intelligence. If we take humans as an example, curiosity is what makes us learn things. Starting from a stage when humans get maturity, he/she becomes curious about the movements around them and learns from it. Then think about AI getting curious. AI is already known for its features that have reached the cliff by its technological improvements.

Curiosity Artificial Intelligence also known as curiosity AI, artificial curiosity, AI curiosity, curious algorithm and algorithmic curiosity is the simulation of human curiosity in Artificial intelligence. If we take humans as an example, curiosity is what makes us learn things. Starting from a stage when humans get maturity, he/she becomes curious about the movements around them and learns from it. Then think about AI getting curious. AI is already known for its features that have reached the cliff by its technological improvements.