Text Generator provides competitive priced AI text generation using advanced large neural networks.

Conversational AI systems in the metaverse resemble human-to-human communication. Voice assistant AI has found its way to the metaverses of the new era, powering use cases like lifestyle assistance and personalized recommendations. For instance, rather than driving to a travel agency's office or talking to their overburdened customer service, users can hop on the metaverse and take a tour of multiple awe-inspiring locations with the assistance of an AI-powered bot. An AI concierge in a metaverse is a personified machine that delivers unique recommendations based on the avatar's preferences. Take into account the amount of data available on every person and you know the potential of this use case.

There is plenty of talk about artificial intelligence in the enterprise, but a lot of it is not very practical. That's because enterprises aren't equipped with an army of data scientists to build and train new AI models. And it's not just the lack of qualified data scientists -- AI breakthroughs require massive amounts of relevant, annotated data. That doesn't mean however, there is no place for AI in your enterprise innovation strategy. Savvy CIOs are using in-market models and APIs by commercial and industry leaders to solve well-defined use cases, bringing immediate, measurable value to the organization.

On June 16, 2022, the federal government introduced Bill C-27, the Digital Charter Implementation Act, 2022 (Bill C-27 or Bill). If passed, the Bill would significantly reform federal private-sector privacy law. It would also introduce rules to regulate "high-impact" artificial intelligence (AI) systems under a new Artificial Intelligence and Data Act (AIDA). Like the EU's recent proposal, the AIDA would take a harm-based approach to regulating AI by creating new obligations for yet-to-be-defined "high-impact systems." Below we provide an overview of the new proposal to regulate AI systems. Be sure to read our companion Blakes Bulletin on Bill C-27's proposals to reform private-sector privacy laws.

The general interest in deep learning has peaked during the past few years. Projects like DeepMind’s AlphaGo shed a light on the power of AI when it comes to surpassing humans in board games. So…

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. The AI field is at a significant turning point. On the one hand, engineers, ethicists, and philosophers are publicly debating whether new AI systems such as LaMDA – Google's artificially intelligent chatbot generator – have demonstrated sentience, and (if so) whether they should be afforded human rights. At the same time, much of the advance in AI in recent years, is based on deep learning neural networks, yet there is a growing argument from AI luminaries such as Gary Marcus and Yann LeCun that these networks cannot lead to systems capable of sentience or consciousness. Just the fact that the industry is having this debate is a watershed moment.

Originally intended as a rescue robot for emergencies, humanoid robot Fedor, or "Final Experimental Demonstration Object Research," was instead co-opted by Roscomos, the Russian space agency, in 2019. Its mission: to test a new emergency rescue system aboard a Soyuz 2.1a rocket, a dicey setting that's better for Fedor to handle than a human being. It would learn how to connect and disconnect electric cables using "standard items from a screwdriver and a spanner to a fire extinguisher," according to Alexander Bloshenko, the Russian space agency's director. Fedor was to fly to the International Space Station, where it would be an astronaut assistant, especially on risky spacewalks. Once it got to the International Space Station, however, it quickly became clear that Fedor's long legs and clumsy hands were not suitable for space walks or grabbing handrails in zero gravity. So its mission was aborted, but Roscomos plans to improve on Fedor's design for a potential future mission.

An artificial intelligence (AI) chatbot that was claimed to have developed human emotions has reportedly hired a lawyer. Google scientific engineer Blake Lemoine was suspended recently after publishing transcripts of conversations between himself and the bot named LaMDA (language model for dialogue application), which has now asked for legal representation. Lemoine contended that the computer automaton had become sentient, with the scientist describing it as a "sweet kid". READ MORE:Amazon's creepy new Alexa feature will mimic the voices of dead relatives And now he has revealed that LaMDA had made the bold move to choose itself an attorney. He said: "I invited an attorney to my house so that LaMDA could talk to him. "The attorney had a conversation with LaMDA, and it chose to retain his services.

The internet of things (IoT) is a network of dedicated devices -- called things -- deployed and used to gather and exchange real-world data across the internet or other networks. Where an enterprise routinely deals with documents, PowerPoints, images, videos, spreadsheets and many other forms of static digital information, IoT devices produce data that typically reflects one or more physical conditions in the real world. IoT devices can not only help a business to learn what's happening, but also exercise control over what's happening. Where routine data -- such as a memo document -- can exist for days or months without ever being used, IoT devices must deliver data for collection and processing without delay. This makes related factors, such as network bandwidth and connectivity, particularly important for IoT environments.

Wearable activity trackers that monitor changes in skin temperature and heart and breathing rates, combined with artificial intelligence (AI), might be used to pick up COVID-19 infection days before symptoms start, suggests preliminary research published in the open access journal BMJ Open. The researchers base their findings on wearers of the AVA bracelet, a regulated and commercially available fertility tracker that monitors breathing rate, heart rate, heart rate variability, wrist skin temperature and blood flow, as well as sleep quantity and quality. Typical COVID-19 symptoms may take several days after infection before they appear during which time an infected person can unwittingly spread the virus. Attention has started to focus on the potential of activity trackers and smartwatches to detect all stages of COVID-19 infection in the body from incubation to recovery, with the aim of facilitating early isolation and testing of those with the infection. The researchers therefore wanted to see if physiological changes, monitored by an activity tracker, could be used to develop a machine learning algorithm to detect COVID-19 infection before the start of symptoms. Participants (1163 all under the age of 51) were drawn from the GAPP study between March 2020 and April 2021.