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The gaming revolution brought about by AI

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Given how much AI is being discussed in 2023, one could assume that it only suddenly made an appearance in gaming and technology this year. In actuality, though, artificial intelligence has always influenced video games and impacted the gaming industry. Before multiplayer games made their way out of the neon-lit arcades of the 1980s, players faced AI opponents, such as the paddle in the iconic Pong game from 1972. Since then, artificial intelligence (AI) has grown exponentially, and new discoveries have ushered in the age of generative AI, which has the potential to drastically alter both the gaming industry and the medium itself.

Video games have always been among the first to adopt new technologies. Gamers anticipate larger worlds, more interactive non-player characters (NPCs), and improved graphics with each new release, and that’s just the beginning. Game developers must be ambitious, continuously iterate, improve, and provide players with more in an ever-more-competitive business environment where game releases are scrutinized by the public more than ever. This raises an issue: how can games get infinitely better when money and time are limited resources?

After eight years and €260 million of development, Cyberpunk 2077 was released in 2020 to mixed reviews because it was thought to be unfinished and had some bugs. It did not align with the high hopes and promises made by developer CD Projekt. While the developer deserves credit for allocating resources to resolve the problems and raise the game’s quality and stability to the desired level, there needs to be more done to address the issue than simply loading up already overworked game development teams with more work.

Perhaps giving AI more authority will be the solution.

Gen AI, year 0: Current state of AI

AI’s potential and, consequently, the value it offers, are at an all-time high due to recent advancements. Consider ChatGPT as an example of how advances in Natural Language Processing (NLP) have greatly improved AI’s capacity to comprehend and produce language. AI can now produce images, videos, and audio thanks to new generative models; Midjourney is one example. AI is able to learn by competing with itself thanks to reinforcement learning. This is how AlphaGo taught itself to win the board game Go, a feat that was previously believed to be beyond the capabilities of AI due to the game’s nearly endless possibilities.

These developments have not happened by themselves. These are the outcome of more general macrotrends, such as the development of massive datasets (like ImageNet), the enhancement of software (cloud/distributed computing) and hardware (graphics cards), and the rise in specialized labor. As a result, the AI tools we use on a daily basis will become increasingly more powerful, contributing to the industry’s aim of making games significantly better.

AI will first affect conventional procedures like the development, release, and management of video games. The development of AI-first games and the advancement of AI-enabled human-machine interfaces will then be observed.

Better, Faster, Stronger, Simpler: How AI Is Changing the Game Production Process Producing games involves a wide range of content types.

Production times will be significantly accelerated if these can be generated automatically. We’ll witness automation of game audio, text, and even the code, in addition to the visual components of the games, such as 2D assets (like Scenario) and interfaces, 3D assets (like Sloyd), character animations (like Kinetix), and fluid simulation (like Zibra).Code quality assurance and game localization—tasks that game developers view as necessary—will gradually be automated. Shorter development cycles and more ambitious games from both big and small studios will become the standard, even though this won’t be immediately apparent to players.

Teams can use generative models to create the necessary text and graphics, as well as to develop and implement comprehensive marketing plans, which will streamline the distribution of games. With the use of AI technologies like Powder, clips created automatically from streams will enable large-scale, organic creator-led game discovery.

Some of the most played games nowadays are evergreens; unlike the previous model, which offered a predetermined amount of gameplay, games are updated with new content on a regular basis; this is known in the industry as “LiveOps” (Live Operations). AI can help LiveOps by ensuring that newly added characters don’t upset the game’s equilibrium and by ensuring that games are safe environments to play in thanks to AI moderation.

Redefining Play: A Path to AI-Prime Games and Innovative Human-Machine Interfaces

There will be exciting new game genres in the medium term. The pinnacle of artificial intelligence in gaming will appear when titles adjust to the player both graphically and narratively (think Scriptic, for example). The video and music industries are already exhibiting the first indications of this content, with algorithms suggesting highly customized digital content to consumers. The narrative of video games will change in the future as players engage with sentient non-player characters—AI agents that actively contribute to your progress. NPCs will engage in real dialogue, express opinions, and react to player actions in a way that is authentic rather than being restricted to a vast array of pre-written responses.

AI promises completely new forms of interaction in addition to opening up new game genres, changing the way we interact with the medium. Voice and even thoughts will gradually become viable replacements for keyboards, mice, touch screens, and controllers. Just as Neuralink’s Monkey MindPong allows users to think about how they would like to play the game, players will converse with their devices.

Furthermore, being able to freely create content for the game is just as important as having control over its events. Scientists have shown off believable thoughts-to-images technology. Is this the pinnacle of speech-to-text evolution leading to the creation of 3D worlds?

With its rapid advancements, AI will have a significant impact on the gaming industry, and 2023 is only the beginning. In the near future, larger, better-quality games will be shipped more quickly. Anticipate AI-first games and novel ways to engage with them in the medium future. AI will have a significant impact on making the gaming industry healthier and more prosperous. From Pong, we’ve come a long way, and we still have a long way to go.

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Techno and IBM Watsonx is a New Era of Reliable AI Announced by Mahindra

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Together with IBM, Tech Mahindra, a global leader in digital solutions and technology consulting, is assisting organizations in accelerating the adoption of generative AI in a sustainable manner around the globe.

This partnership combines IBM’s Watsonx AI and data platform with AI Assistants with Tech Mahindra’s array of AI products, TechM amplifAI0->∞.

Customers may now access a range of new generative AI services, frameworks, and solution architectures by combining Tech Mahindra’s AI engineering and consulting talents with IBM Watsonx’s capabilities. This makes it possible to create AI programs that let businesses automate operations using their reliable data. Additionally, it gives companies a foundation on which to build reliable AI models, encourages explainability to help control bias and risk, and permits scalable AI deployment in on-premises and hybrid cloud settings.

Chief digital services officer of Tech Mahindra Kunal Purohit says that in order to revitalize businesses, organizations should prioritize responsible AI practices and the integration of generative AI technology.

“Our partnership with IBM can facilitate digital transformation for businesses, the uptake of GenAI, modernization, and ultimately business expansion for our international clientele,” Purohit continued.

Tech Mahindra has created an operational virtual Watsonx Center of Excellence (CoE) to better improve business skills in AI. Using their combined competencies to produce unique offers and solutions, this CoE serves as a co-innovation center, with a dedicated team tasked with optimizing synergies between the two organizations.

The collaborative offerings and solutions developed through this partnership could help enterprises achieve their goals of constructing machine learning models using open-source frameworks while also enabling them to scale and accelerate the impact of generative AI. These AI-driven solutions have the potential to aid organisations enhance efficiency and productivity responsibly.

IBM Ecosystem General Manager Kate Woolley emphasized the potential of the partnership and added that, when generative AI is developed on a basis of explainability, openness, and trust, it may act as a catalyst for innovation and open up new market opportunities.

“Our partnership with Tech Mahindra is anticipated to broaden Watsonx’s user base and enable even more clients to develop reliable AI as we strive to integrate our know-how and technology to support enterprise use cases like digital labor, code modernization, and customer support,” stated Woolley.

This partnership is in line with Tech Mahindra’s ongoing efforts to revolutionize businesses through cutting-edge AI-led products and services. Some of their most recent offerings include Evangelize Pair Programming, Imaging amplifAIer, Operations amplifAIer, Email amplifAIer, Enterprise Knowledge Search, and Generative AI Studio.

The two businesses had previously worked together, which is noteworthy. On the company’s Singapore site, Tech Mahindra had announced earlier this year that it would be opening a Synergy Lounge in partnership with IBM. For APAC organizations, this lounge aims to expedite the adoption of digital. Technology like as artificial intelligence (AI), intelligent automation, edge computing, 5G, hybrid cloud, and cybersecurity can all be effectively implemented and utilized with its assistance.

In addition to Tech Mahindra, IBM Watsonx has been applied in other partnerships to expedite the application of generative artificial intelligence. Early in the year, the GSMA and IBM also announced a new cooperation to develop the GSMA Foundry Generative AI program and GSMA Advance’s AI Training program, respectively, to boost the use and capabilities of generative AI in the telecom industry.

The program is also available digitally, and it covers the technical underpinnings of generative AI in addition to its business strategy. For architects and developers looking for in-depth, useful expertise on generative AI, this program employs IBM Watsonx to deliver hands-on training.

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OpenAI Enhances ChatGPT with Google Drive Integration, Streamlined File Access, and Advanced Analytics

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A major update to ChatGPT was released by OpenAI, enabling users to analyze data straight from OneDrive and Google Drive without having to download and upload. Over the following few weeks, this new feature—which is only available to ChatGPT subscribers who have paid—will be gradually added to the service with the goal of streamlining data analysis and saving customers time and trouble.

According to a blog post by OpenAI, “ChatGPT is now more connected to your data than ever before.” “With the integration of Google Drive and OneDrive, you can directly access and analyse your files – from Excel spreadsheets to PowerPoint presentations – within the chatbot.”

According to OpenAI, ChatGPT can analyze files “more quickly” because to this direct access, which is available to ChatGPT Plus, Enterprise, and Teams users. However, GPT-4o, the improved version of GPT-4 that powers ChatGPT’s premium tiers, is presently the only way to access the additional data analytics tools.

OpenAI has enhanced ChatGPT’s comprehension and manipulation of data, going beyond simple file access. Now, a variety of data-related operations may be carried out by users using natural language commands, such as:

  • Executing analytics-related Python code
  • Combining and streamlining datasets
  • Producing graphs with data from files

Additionally, ChatGPT’s charting capabilities have improved significantly. Now, users may expand their views, engage with the created tables and charts, and personalize the visualisations by altering the colors, posing queries about particular cells, and more. With the exception of several chart types, the chatbot can now create static versions of interactive bar, line, pie, and scatter plot charts.

Additionally, OpenAI emphasized the security of user data. Users of ChatGPT Teams and Enterprise will not have their data used to train AI models, and ChatGPT Plus members have the option to disable this capability.

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India is the Most Adopting Country in Asia Pacific for Generative AI

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India’s use of Generative AI (GenAI) is demonstrated in a research produced by Deloitte titled Generative AI in Asia Pacific: Young Employees Lead as Employers Play Catch-Up. Out of 13 nations, India ranks first in terms of the use and adoption of GenAI, according to a poll conducted among 11,900 people in Asia Pacific. It is astounding to learn that 83% of Indian workers and 93% of students actively use this technology.

India has a good adoption rate of GenAI, which is driven by youthful, tech-savvy workers known as “Generation AI.” These young employees are increasing productivity, learning new skills, managing workloads, and saving time by utilizing GenAI. Employers are facing new opportunities and problems as a result of this shift.

The study estimates that within the following five years, everyday utilization of GenAI would rise by 182%. The belief that GenAI can increase the Asia-Pacific region’s contribution to the global economy is reflected in this growth. Eighty-three percent of Indians think it improves social results, and about seventy-five percent think it has economic benefits.

Important Discoveries:

  • Though only 50% of workers and students in Asia Pacific think their bosses are aware of their use, they are driving the GenAI revolution.
  • Seventeen percent of Asia Pacific’s working hours, or around 1.1 billion hours a year, could be impacted by GenAI.
  • More rapidly than industrialized economies, developing nations are implementing GenAI at a rate of thirty percent.
  • Around 6.3 hours are saved weekly by GenAI users in Asia Pacific, while 7.85 hours are saved by Indian users.
  • Work-life balance has been enhanced, according to 41% of time-saving GenAI users.
  • As per the staff of these businesses, seventy-five percent of them have not adopted GenAI yet.

The AI and data capability leader for Deloitte Asia Pacific, Chris Lewin, stated, “One of the most exciting things about working with GenAI is that it is happening to everything, everywhere, all at once, across the globe.” “Over the past twelve months, we have observed that teams in Italy and Ireland can very immediately relate to the issues that our clients in Indonesia or India are facing.” A crucial insight is that while the swift integration of AI won’t result in the immediate loss of jobs, companies that don’t adjust will bear the consequences. Competing companies that provide AI solutions that have the potential to completely change the nature of modern work will attract their employees, especially fresh talent.

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