"Exploring the AI-Powered Features of Samsung Galaxy S24 Series"

San Jose (California) [USA], January 20, 2024: Samsung, the South Korean smartphone manufacturer, debuted its highly anticipated Galaxy S24 Ultra, Galaxy S24+, and Galaxy S24 on Wednesday.

Pritish Bagdi

Interestingly, at the Galaxy Unpacked 2024 event, the tech giant introduced its next flagship smartphones with Galaxy AI, a full set of AI-powered capabilities that boost communication, creativity, searchability, and performance.

According to Mashable, AI-powered features will enable users to dump third-party apps in favor of beneficial tools such as Live Translate, which allows you to translate languages in real time via phone conversations or texts.

Other Galaxy AI features that may aid users are the following:

Chat Assist - Adjusts the tone of your messages to ensure they are suitable for work, social media, or anywhere you desire to share them.

Note Assist - Make summaries of your notes or utilise pre-made templates to urge you to write.

Circle to Search - Circle, highlight, scribble, or tap on anything to receive meaningful, high-quality search results.

Google has cooperated with Samsung on AI for the latter's next flagship products.

Sunder Pichai, Google CEO, revealed the 'Circle to Search' feature on X, adding, "We continue to apply AI to make Search more helpful and intuitive. Building on features like Lens, and Circle to Search is our next key accomplishment, allowing you to search what you see on @Android phones with a single gesture without switching apps. #SamsungUnpacked."

"The Galaxy S24 series transforms our global connectivity and lays the foundation for the next decade of mobile innovation." Galaxy AI is built on our innovation legacy and a detailed understanding of how people use their devices. We're happy to witness how our users around the world use Galaxy AI to enhance their daily lives and open up new possibilities," said TM Roh, President, and Head of Mobile eXperience (MX) Business at Samsung Electronics.

AI features have a big impact on the camera app, particularly in terms of offering potential editing improvements.

This year's new features include the ProVisual Engine and a dedicated ISP Block for noise reduction. The ProVision Engine is a set of AI-powered applications, such as Generative Edit, which allows you to erase things and have AI fill in the space.

It can also fill in the space left by straightening a crooked shot. According to GSMArena, Instant Slow-mo may generate additional frames to smoothly slow down particular points in the video.

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How AI & Machine Learning are Shaping The Future of Banking in India?

3 January 2024: In their annual reports, Indian banks have employed an extensive array of terminology and concepts relating to AI and Machine learning.

Pritish Bagadi

According to the Reserve Bank of India's banking and trends report, the use of AI-related terms in Indian banks has expanded significantly, particularly in private sector banks. However, adoption among public sector banks has been somewhat subdued, rising approximately 2.5 times throughout the study period.

The chatbots are usually accessible through the banks' websites. In the case of PSBs, mega-mergers appear to have boosted chatbot adoption, with combined organisations embracing acquirers' technology. A word cloud analysis highlights banks' emphasis on automation, which may be motivated by the desire to increase efficiency while also improving fraud detection and other predictive analytics.

"AI is increasingly being used in areas such as asset management, algorithmic trading, credit underwriting, and blockchain-based financial services," the Reserve Bank of India (RBI) stated in its publications. According to the top banks' study, AI will alter the financial services sector by encouraging the development of new goods and services, opening up new markets and industries, and paving the path for innovation.

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AI and ML Lingo in Banks

According to a recent survey, over one-third of responding financial services, organisations expect AI technology to assist 51 to 75 percent of their workload in five years. The same is being done by Indian banks, whether private or public sector.

According to the RBI investigation, practically every bank in India is utilising popular AI and ML dictionaries/glossaries such as Google Vertex AI, Google Developers, IBM, NHS AI Lab, the Council of Europe, and Large Language Models such as ChatGPT and Bard. Chatbots for customer support are also being introduced by NBFCs.

Indian banks have employed an extensive variety of AI and Machine Learning terminology and concepts. Chatbots, Artificial Intelligence, Cloud Computing, Machine Learning, Customer Segmentation, data analytics, robotics support automation, the Internet of Things, and many other technologies are part of the world.

ICICI Bank used the term Artificial Intelligence six times in its FY23 annual report, Machine Learning four times, Cloud Adoption and Computing nine times, and Data Analytics five times. The bank used Machine Learning five times, Artificial Intelligence ten times, Cloud 25 times, and Data Analytics three times in its FY23 Annual Report. State Bank of India, India's largest public sector bank, used AI three times, Machine Learning twice, and Data Analytics only once.

According to RBI research conducted in 2016-2017, the number of banks utilising chatbots was five, which increased to ten in FY18. From ten in FY18 to twelve in FY23, the number of banks with chatbots increased to nearly twenty-six in FY23.

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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.

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