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Welcome to a World Where No One Needs to Learn a New Language

Economic Times

Economic Times · 1d ago

Welcome to a World Where No One Needs to Learn a New Language

In 2025, AI-driven neural machine translation (NMT) tools like Google Translate, DeepL, Meta’s SeamlessM4T, and OpenAI’s Whisper are revolutionizing language translation by decoding cultural contexts and nuances. These tools are invaluable in multilingual regions like India, facilitating digital inclusion. Beyond an engineering feat, this AI translation leap represents a cultural and geopolitical realignment, impacting diplomacy and communication. However, true understanding requires systems that honor linguistic, cultural, and political intricacies, not just mechanically translate.

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Welcome LGBTQ+ at Work: Building Bridges of Inclusion with Shveta Verma at PwC

Livemint

Livemint · 1y ago

Welcome LGBTQ+ at Work: Building Bridges of Inclusion with Shveta Verma at PwC

In the latest episode of "Welcome LGBTQ+ at Work," Shveta Verma, the India & Asia Pacific Inclusion & Diversity Leader at PwC, shares insights on fostering an inclusive workplace. With 23 years of experience, Shveta emphasizes the importance of an inclusive culture at PwC and creating an environment where everyone feels valued and respected. Visit Shine.com to learn more.

Google Translate to soon add 110 languages with help of AI

Economic Times

Economic Times · 1y ago

Google Translate to soon add 110 languages with help of AI

Google is expanding its language support on Google Translate, adding 110 more languages to its platform. This brings the total number of supported languages to 243, reaching over 614 million speakers worldwide. The expansion includes major world languages with over 100 million speakers, as well as languages spoken by indigenous communities. Google used its PaLM 2 large language model to learn closely related languages. This move is part of Google's efforts to advance its artificial intelligence technology and compete with other AI models like Meta AI and OpenAI's ChatGPT.

This AI Model Never Stops Learning

Wired · 1m ago

This AI Model Never Stops Learning

MIT researchers have developed a method for large language models (LLMs) to learn continuously by updating their parameters with new information. This approach, called Self Adapting Language Models (SEAL), allows AI to incorporate current data, enhancing its responses and personalizing user interactions. While promising, challenges such as "catastrophic forgetting" still exist. SEAL represents a significant step towards creating AI that better mimics human learning processes by improving its capabilities over time.

Toyota's robots are learning to do housework—By copying humans

Wired · 1y ago

Toyota's robots are learning to do housework—By copying humans

Toyota Research Institute is developing robots that can learn household chores by combining machine learning techniques and language models. The robots are trained using a diffusion policy machine learning system, similar to ones used in AI image generators, to determine their actions based on various data sources. Toyota aims to utilize language models to enable robots to learn tasks by watching videos, potentially from platforms like YouTube. The goal is to have robots adapt, improvise, and flexibly handle tasks that require human-like abilities.

All-in-one solutions will start to become extinct

Techradar

Techradar · 1y ago

All-in-one solutions will start to become extinct

The article discusses the drawbacks of all-in-one software solutions and the benefits of adopting a composable approach. All-in-one solutions, while convenient, often include unnecessary features and can limit flexibility and integration with new technologies. Composable technology, on the other hand, allows businesses to build their systems using modular components, providing agility, scalability, and adaptability. The article suggests adopting a best-of-breed approach, where businesses can choose and integrate the most suitable tools for their specific needs. It also highlights the importance of a flexible content management system (CMS) that enables easy content distribution across various platforms.

Google’s Gemini is the real start of the generative AI boom

Wired · 1y ago

Google’s Gemini is the real start of the generative AI boom

Google has released Gemini, a new AI model that goes beyond language models primarily anchored to text. Gemini is a "natively multimodal" model that can learn from data beyond just text, including audio, video, and images. The release of Gemini suggests that a new AI winter is unlikely, and the current AI boom is just getting started. OpenAI's ChatGPT had impressed many with its wide range of abilities, but Gemini takes AI capabilities to a new level. Google and OpenAI both acknowledge the need for radical new approaches to further progress in AI.

OpenAI researcher Andrej Karpathy departs firm

Economic Times

Economic Times · 1y ago

OpenAI researcher Andrej Karpathy departs firm

One of the founding members of OpenAI, Andrej Karpathy, announced his departure from the Microsoft-backed company. As an artificial intelligence researcher, Karpathy's exit represents a significant loss for the top AI lab. He plans to focus on personal projects for now. Prior to joining OpenAI for the second time last year, Karpathy held a senior director position at Tesla, where he contributed to the development of AI and driver assistant technology. He has also been exploring the concept of large language models as a new type of computer operating system.

Google’s new AI will play video games with you — but not to win

The Verge

The Verge · 1y ago

Google’s new AI will play video games with you — but not to win

Google DeepMind has introduced SIMA, an AI agent that learns gaming skills to play video games more like a human. The agent, which stands for Scalable, Instructable, Multiworld Agent, is currently in the research phase. While SIMA aims to learn how to play any video game, it is not designed to replace existing game AI but to act as another player within the game. By combining natural language instruction with 3D world understanding and image recognition, SIMA can mimic human-like gameplay. The AI agent has been tested in collaboration with game developers, including Hello Games and Coffee Stain.

Meta Research Introduces Revolutionary Self-Rewarding Language Models Capable of GPT-4 Level Performance

Medial

Medial · 1y ago

Meta Research Introduces Revolutionary Self-Rewarding Language Models Capable of GPT-4 Level Performance

Language models can achieve superhuman capabilities with the new paradigm of Self-Rewarding Language Models (SRLMs). Meta has developed an innovative system where the model generates its own rewards, leading to continual improvement in instruction following and reward modeling abilities. The iterative Direct Preference Optimization (DPO) framework is used to train SRLMs, allowing the model to push itself to superhuman levels. After just three iterations, the SRLM outperformed state-of-the-art systems, demonstrating its potential to achieve GPT-4 level performance. SRLMs break free from fixed reward models, offering continuous improvement possibilities for language models.

Dream11 parent launches its first mobile game Dream Cricket 2024 in India

Money Control

Money Control · 1y ago

Dream11 parent launches its first mobile game Dream Cricket 2024 in India

Dream Game Studios, owned by Dream11 parent company Dream Sports, has launched its first mobile game, Dream Cricket 2024, in India and Pakistan. The cricket game features realistic gameplay, voice commentary, and 3D graphics. It includes various game modes, including multiplayer matches, Dream Team, and a new World Cup mode where users can play as one of the 10 international teams and participate in tournaments. Dream Cricket 2024 also features the faces of current and former Indian cricket players and renowned international players. India's gaming market is growing rapidly, with revenue projected to reach $868 million by 2023.

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