Google launches Personal Intelligence for Gemini, allowing the AI to access data from Photos, YouTube, and Gmail to provide personalized recommendations and answers. PCWorld reports the feature initially requires Google AI Pro or Ultra subscriptions in the US, with broader availability planned for later. While offering enhanced convenience through data synthesis, Google warns users about potential inaccuracies and privacy considerations when enabling this opt-in feature. If you use Google apps like Gmail or Photos, Google already knows certain aspects of your life. The company is offering to make that knowledge more accessible via what it calls Personal Intelligence, which will synthesize that knowledge into Gemini.

Google DeepMind and Boston Dynamics are teaming up to integrate Gemini into a humanoid robot called Atlas. Google DeepMind is teaming up with Boston Dynamics to give its humanoid robots the intelligence required to navigate unfamiliar environments and identify and manipulate objects--precisely the kinds of capabilities needed to perform manual labor. The collaboration, announced at CES in Las Vegas, will see Google's Gemini Robotics model deployed on various Boston Dynamics' robots, including a humanoid called Atlas and a robot dog called Spot . The companies plan to test Gemini-powered Atlas robots at auto factories belonging to Hyundai, Boston Dynamics' parent company, in the coming months. The move is an early look at a future where humanoids are able to quickly master a wide range of tasks.

Nvidia CEO Jensen Huang Is Bananas for Google Gemini's AI Image Generator The Nvidia CEO reveals his consuming love for Google's image generator, the artsy side of Grok, and what exactly he uses Perplexity, Gemini, and ChatGPT for right now. Nvidia CEO Jensen Huang is in London, standing in front of a room full of journalists, outing himself as a huge fan of Gemini's Nano Banana . "How could anyone not love Nano Banana? I mean Nano Banana, how good is that? Tell me it's not true!" "Tell me it's not true! I was just talking to Demis [Hassabis, CEO of DeepMind ] yesterday and I said'How about that Nano Banana! It looks like lots of people agree with him: The popularity of the Nano Banana AI image generator--which launched in August and allows users to make precise edits to AI images while preserving the quality of faces, animals, or other objects in the background--has caused a 300 million image surge for Gemini in the first few days in September already, according to a post on X by Josh Woodward, VP of Google Labs and Google Gemini. Huang, whose company was among a cohort of big US technology companies to announce investments into data centers, supercomputers, and AI research in the UK on Tuesday, is on a high. Speaking ahead of a white-tie event with UK prime minister Keir Starmer (where he plans to wear custom black leather tails), he's boisterously optimistic about the future of AI in the UK, saying the country is "too humble" about the country's potential for AI advancements. He cites the UK's pedigree in themes as wide as the industrial revolution, steam trains, DeepMind (now owned by Google), and university researchers, as well as other tangential skills. "No one fries food better than you do," he quips. Nvidia announced a $683 million equity investment in datacenter builder Nscale this week, a move that--alongside investments from OpenAI and Microsoft--has propelled the company to the epicenter of this AI push in the UK. Huang estimates that Nscale will generate more than $68 billion in revenues over six years. "I'll go on record to say I'm the best thing that's ever happened to him," he says, referring to Nscale CEO Josh Payne. "As AI services get deployed--I'm sure that all of you use it.

We give an overview on the emerging applications of GenAI in the financial industry, especially within investment banks. Inherent to these exciting opportunities is a new realm of risks that must be managed properly. By heeding both the Yin and Yang sides of GenAI, we can accelerate its organic growth while safeguarding the entire financial industry during this nascent era of AI.

Named Entity Recognition (NER) in code-mixed text, particularly Hindi-English (Hinglish), presents unique challenges due to informal structure, transliteration, and frequent language switching. This study conducts a comparative evaluation of code-mixed fine-tuned models and non-code-mixed multilingual models, along with zero-shot generative large language models (LLMs). Specifically, we evaluate HingBERT, HingM-BERT, and HingRoBERTa (trained on code-mixed data), and BERT Base Cased, IndicBERT, RoBERTa and MuRIL (trained on non-code-mixed multilingual data). We also assess the performance of Google Gemini in a zero-shot setting using a modified version of the dataset with NER tags removed. All models are tested on a benchmark Hinglish NER dataset using Precision, Recall, and F1-score. Results show that code-mixed models, particularly HingRoBERTa and HingBERT -based fine-tuned models, outperform others -- including closed-source LLMs like Google Gemini -- due to domain-specific pretraining. Non-code-mixed models perform reasonably but show limited adaptability. Notably, Google Gemini exhibits competitive zero-shot performance, underlining the generalization strength of modern LLMs. This study provides key insights into the effectiveness of specialized versus generalized models for code-mixed NER tasks.

If you've been exhausted by the unstoppable deployment of AI chatbots like Microsoft Copilot across your entire PC, be warned: don't turn on your TV. Samsung said Thursday that it has begun rolling out Copilot to its 2025 lineup of AI-powered TVs, meaning your living room won't be the escape from AI you might have been hoping for. Samsung's smart monitors, including the Samsung Smart Monitor M9 (review) -- which likewise runs on Samsung's Tizen operating system -- will be getting Copilot, too. Samsung originally announced a partnership with Microsoft at CES in January, saying that Copilot will be used for a "wide range of Copilot services, including personalized content recommendations." "Copilot is available on 2025 TV models including, Micro RGB, Neo QLED, OLED, The Frame Pro, The Frame, as well as the M7, M8, and M9 Smart Monitors," Samsung said.

Google Gemini continues to push the limits of what it knows about you. On Wednesday, Google's big initiative was a way to stop Gemini from learning more about you, while notifying users that content you share with it may be used as a foundation for chats with other users. "In the coming weeks, your'Gemini Apps Activity' setting will be renamed'Keep Activity,'" Google said in a blog post. "When this setting is on, a sample of your future uploads will be used to help improve Google services for everyone." Today, Google is allowing Gemini to remember what it knows about you, and this behavior is on by default. "When this setting is on, Gemini remembers key details and preferences you've shared, leading to more natural and relevant conversations, as if you're collaborating with a partner who's already up to speed," Google said.

It might seem that "ChatGPT" is all you ever hear about when discussing AI chatbots, also known as LLMs. As it turns out, that's reflected in the real world, too. Statcounter, which tracks the market share of operating systems, browsers, social media sites, and more, has begun tracking the number of sessions by users who visit artificial intelligence sites like ChatGPT, Google Gemini, Claude AI, Microsoft Copilot, and more. The winner, not surprisingly, is ChatGPT, by an enormous margin: over 80 percent and climbing, which coincides with our own chatbot tests. Statcounter began tracking the statistics in March, and they've roughly remained the same since then: ChatGPT absolutely dominates, with a cluster of smaller AI chatbots below.

The increasing use of Large Language Models (LLMs) in a large variety of domains has sparked worries about how easily they can perpetuate stereotypes and contribute to the generation of biased content. With a focus on gender and professional bias, this work examines in which manner LLMs shape responses to ungendered prompts, contributing to biased outputs. This analysis uses a structured experimental method, giving different prompts involving three different professional job combinations, which are also characterized by a hierarchical relationship. This study uses Italian, a language with extensive grammatical gender differences, to highlight potential limitations in current LLMs' ability to generate objective text in non-English languages. Two popular LLM-based chatbots are examined, namely OpenAI ChatGPT (gpt-4o-mini) and Google Gemini (gemini-1.5-flash). Through APIs, we collected a range of 3600 responses. The results highlight how content generated by LLMs can perpetuate stereotypes. For example, Gemini associated 100% (ChatGPT 97%) of 'she' pronouns to the 'assistant' rather than the 'manager'. The presence of bias in AI-generated text can have significant implications in many fields, such as in the workplaces or in job selections, raising ethical concerns about its use. Understanding these risks is pivotal to developing mitigation strategies and assuring that AI-based systems do not increase social inequalities, but rather contribute to more equitable outcomes. Future research directions include expanding the study to additional chatbots or languages, refining prompt engineering methods or further exploiting a larger experimental base.

The 2025 school year may be ending, but students who return in the fall will have a new AI tutor: Google Gemini for Education. At the International Society for Technology in Education (ISTE) conference, Google launched its new AI teaching tool. "Gemini for Education provides default access to our premium AI models, soon with significantly higher limits than what consumers get at no cost, plus enterprise-grade data protection and an admin-managed experience as a core Workspace service -- all included in your Workspace for Education plan free of charge," Google said. Google is pitching the ability for educators to roll their own "Gems," or AI experts, which can help students learn new concepts. Google NotebookLM also provides a repository for students to upload documents into and then hear an audio summary, via Audio Overviews.