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The Communiqué News

Google's Launches Gemini 'Ask Photos' AI Feature to Resolve Performance Challenges

Pritish Bagdi

Google Ask Photos

Google has paused the rollout of its AI-powered "Ask Photos" feature in Google Photos due to feedback on issues with latency, quality, and user experience. Initially launched as an experimental feature, "Ask Photos" uses Google's Gemini AI models to allow users to search their photo libraries with natural language questions. Product manager Jamie Aspinall announced the pause after criticism, indicating a refined version will be available in about two weeks. The feature aims to improve photo searches by understanding and interpreting photo contents contextually. Alongside this, Google has enhanced search functionality within Google Photos, allowing more accurate searches using quotes for exact text matches. This update expands on features announced at Google I/O 2024, aiming to make searches more intuitive. The pause reflects Google's ongoing scrutiny and refinement of AI features, amid competition in the AI space. Despite the pause, Google's vision for "Ask Photos" remains to enhance user interaction with photo libraries through AI. The timeline for the feature's return remains unannounced.





Google's Gemini AI Model: The Future of Natural Language Processing?

Gemini is a multimodal model that can effortlessly comprehend and combine many sorts of information, including text, code, voice, image, and video, according to Demis Hassabis, CEO and Co-Founder of Google DeepMind.


Pritish Bagdi

Gemini is a multimodal model that can effortlessly comprehend and combine many sorts of information, including text, code, voice, image, and video, according to Demis Hassabis, CEO and Co-Founder of Google DeepMind.


Understand the #GeminiAI with this video:




Gemini is unique in that it is natively multimodal, meaning that different modalities don't require separate components to be sewn together. This innovative strategy, refined through extensive cross-team collaboration across Google teams, presents Gemini as a versatile and effective model that can operate on everything from mobile devices to data centers. Gemini's powerful multimodal reasoning, which allows it to precisely extract insights from large datasets, is one of its most notable qualities. The model is also capable of comprehending and producing well-written code in widely used programming languages.



But even as Google steps into this new AI era, accountability and security are still top priorities. Gemini is subjected to thorough safety reviews, which include toxicity and bias analyses. Google is aggressively working with outside specialists to resolve any potential blind spots and guarantee the moral use of the model.

The Bard chatbot is among the Google products that Gemini 1.0 is now being rolled out. There are plans to integrate Gemini 1.0 with Search, Ads, Chrome, and Duet AI. Nevertheless, the Bard update won't be made available in Europe unless regulators give its approval.

Gemini Pro is available to developers and enterprise users through Google Cloud Vertex AI or Google AI Studio's Gemini API. using Android 14, a new system feature called AICore will enable Android developers to create using Gemini Nano.








Revolutionizing Local Search: How AI-Powered Changes in Google Maps Will Transform Navigation

Google is rolling out updates to its Maps app that use AI. According to The Verge, the new features include immersive navigation, more easily understood driving directions, and more arranged search results.


Pritish Bagdi

Google hopes to make Maps more like Search—a location where users can locate EV charges, coffee shops, and directions, of course, but also where they can type in general queries like "fall foliage," "latte art," or "things to do in Tokyo" and receive a tonne of genuinely helpful results. According to Google, it wants users of Maps to explore new locations and activities while operating under the guidance of its extremely potent algorithm. According to Chris Phillips, Google's Vice President and General Manager of Geo, artificial intelligence has "supercharged the way we map" and is essential for helping users navigate and make critical decisions.

According to Phillips, Google Maps will evolve into a more "visual and immersive" tool that also assists you in making "more sustainable choices," like using the bus or riding a bike. In order to help developers, cities, and particularly automakers enhance Maps for the in-car navigation experience, Google is also broadening the scope of its API services. According to Miriam Daniel, the Google Maps team leader, one of the ways Google is utilising AI to make Maps more like Search is by analysing "billions" of user-uploaded photographs to assist users in finding odd goods, such as coffee shops that sell lattes with panda faces. Similar to how they can with Search, users can type particular queries into Maps to receive a list of local companies or locations that fit the query based on a real-time analysis of user images.





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