Train2Game News Iconic Creatures Returns To Steam

Gameware Europe and Critter Consortium are proud to announce the upcoming release of the iconic “Creatures” series on Steam.

Seeking to model life itself via digital DNA, Creatures is a game all about raising and teaching virtual “Norns” – a friendly species, that with the player’s help can learn, communicate, breed, and (hopefully!) survive in a world full of danger.

The series has been recognized in a number of awards, such as two EMMA wins for Creatures and Creatures Adventures, as well as a BAFTA nomination for Creatures Playground.

With 6 major releases on PC between 1996 and 2001, the series has delighted fans with its unrivalled technology in the field of artificial life by modelling real, scientific principles – “Call it a game if you like, but this is the most impressive example of artificial life I have seen” Richard Dawkins ( Oxford University Zoologist and author)

“I first saw this program in the same week that evidence was discovered of life on Mars. This is more exciting” Douglas Adams ( Author of Hitchhiker’s Guide to the Galaxy)

Creatures Docking Station and Creatures 3 are set to release on December 6th, while the other games will be released later that month as Creatures: The Albian Years (a compilation of Creatures & Creatures 2 with their respective expansions) and Creatures Village (including both Creatures Adventures and Creatures Playground).

Train2Game News WildMeta Integrating AI Bots With Unity & Unreal

Machine learning is often associated with the few studios that can afford dedicated research teams, but now with WildMeta’s technology and its new Unity and Unreal Engine integrations, machine learning-based bots are more accessible than ever.

Following the footsteps of leading machine learning research organisations, WildMeta went out of stealth in January 2021 and unveiled its own framework to build machine learning-based bots capable of playing video games and react naturally to their environment.

Today the team announces integrations with Unity and Unreal Engine as well as compatibility with most engines thanks to its game developer-friendly library that acts as a bridge between game data and WildMeta’s machine learning systems. 

Over the past year, the company’s founders, Amandine Flachs and Dr Alexandre Borghi have been initiating discussions with game studios on machine learning potential and adoption.

While many game developers showed a genuine interest in the technology, most of their questions have been focusing on how it would actually fit into their existing, most often complex, tech stack. WildMeta’s new integrations and C++ library are a direct solution to these questions. 

In practice, the new library doesn’t change WildMeta’s business model:

  • The team still offers its technology as a service to game studios.
  • The team trains and integrates machine learning-based AIs in games.
  • Studios do not need to hire in-house machine learning experts to start adopting the technology.

Using its own API and library will enable the team to reduce the amount of custom development previously required to make its machine learning technology compatible with games and will let it concentrate its efforts on the game AI itself.

Amandine Flachs, CEO and co-founder of WildMeta said:  

“Bots aren’t a bad thing, dumb bots are! Research teams have shown you can train machine learning-bots to beat the best professional players. We don’t want to beat players, instead, we want this technology to help game developers for example with QA, to improve players’ experience, offer worthy opponents that react to your moves instead of following a script, squad team members that actually contribute to your game or training bots that prepare you to known tactics. We have managed to turn research into a production-ready system that fits studios’ existing tech stacks, now our focus is to drive adoption of this technology.”

Since going out of stealth, the team has given a number of presentations in order to demystify machine learning technology for game development.

They will continue to spread the word in the coming months with more public appearances including a technical deep dive from Dr Alexandre Borghi at Develop: Brighton in October 2021.

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Train2Game News Let AI look after your community

Spirit AI, a leader in Artificial Intelligence, Natural Language Science and Machine Learning, today announced significant updates to its customer intelligence tool, Ally.

Designed to keep online forums healthier, Ally allows Customer Service and Data Science teams to understand the general tenor of the online community and predict problems before they escalate.

Ally considers context, nuance and the relationships between users versus seeking and blocking keywords. The software uses Natural Language Understanding and AI to identify the intent of a message, and then analyzes the behavior and reactions to determine its impact. Ally intelligently assists CS teams to identify users and user behaviors, and then provides data and customizable tools to improve the overall state of online play and forums.

“Online harassment has increasingly become an issue, both in-game and in other online forums, but it’s a challenging problem to solve. Not all communities have the same culture, rules, and norms, so one-size-fits-all solutions aren’t the best answer,” said Mitu Khandaker, Creative Partnerships Director at Spirit AI.

“It’s important to be able to consider the context; to be able to discern harassment from smack talk, in order foster safe, healthy communities. Ally looks beyond language to context and behavior to provide intelligence to help head off trouble.”

Spirit AI recently introduced a host of new features, some of which were unveiled at this year’s Game Developers Conference, and as part of the new Fair Play Alliance Summit. Product improvements include new Smart Filters, an updated and customizable web-based front end and intuitive node-based interface, and GDPR compliance.

· Smart filters – Using proprietary machine learning technology, Ally groups language classifications such as profanity and sexual content in ways that help avoid the common pitfalls of current technologies. Rather than taking a redactive or ‘censoring’ approach, Ally determines game-specific slurs to create robust word groupings that are easily identified as helpful or harmful.

  • Natural Language Classifiers and Sentiment Analysis – Ally looks at the words in real time and in context to detect upset users.
  • Bot Detection – Because Ally’s system looks at every message it can find patterns in language that reveal the bots and bad actors who are targeting your community.
  • Case File – Detected behavior is permanently stored so a Community Manager can understand an actor’s case file and identify repeat behaviors
  • User Insight – Ally can reveal how your users are interacting with each other and highlight the bad apple before the barrel is spoilt.

· User Interface – Ally‘s UI allows customer intelligence teams to monitor behavior across the community and automatically highlight repeat offenders. Customer service teams can rapidly identify both positive and negative behaviors and either promote or demote their users immediately.

· GDPR – Ally is GDPR compliant to better protect user privacy and data.

Spirit AI is expanding the Company’s customer roster, with several major companies both in and outside the games industry, using Ally.

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