Vishal Prakash Shah, Founder & CEO, Synersoft Technologies
Exploring the Potential of Generative AI: From Content to 3D Models.
Vishal Prakash Shah, Founder & CEO, Synersoft Technologies
Exploring the Potential of Generative AI: From Content to 3D Models
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Watch CII WEBINAR ON INDIA BRAZIL EXPLORING BUSINESS POTENTIAL 0 0 With HD Quality
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Wearable AI market is growing rapidly and is expected to continue to expand in the coming years. According to various industry reports, the wearable AI market is expected to reach $230 billion by 2033. It is rising at an impressive 27.6% CAGR from 2023 to 2033.
The increasing adoption of wearable devices, advancements in AI and machine learning technology, and growing demand for digital health and wellness solutions are some of the factors that are expected to contribute to growth. The internet of things enables machine-to-machine communication and cloud platform connectivity, allowing the usage of artificial intelligence in wearable devices.
Wearable AI includes intelligent devices such as smartwatches, smart earphones, smart eyeglasses, and others. Leading players such as Samsung, Apple, Sony, and others are using various techniques to develop and improve technology, increasing the demand for wearable AI.
Today's Headline in NewsHours
0:00 Intro
3:10 #Amazon files lawsuits against sellers for submitting fake takedown requests
3:42 #Nokia unveils new user interface for its products
4:17 Vivo to merge iQOO into its main business
4:53 India’s Foreign Trade Policy 2023 sees $2 trillion exports by 2030
5:40 #Swiggy co-founder Phani Kishan to head its Instamart business
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#WearableAI #SmartWearables #FutureTech #AItechnology #WearableTech #Innovation #ArtificialIntelligence #WearableDevices #WearableTechnology #AIinWearables #TechTrends #DigitalTransformation #WearableInnovation #SmartDevices #AdvancedTe
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Tech has always been a double edged sword and GPT would be no different. The GPT story is getting thicker. Indeed, as technology advances and new challenges emerge, the story surrounding the scourge of #fakeinternationalcalls continues to evolve.
What it would churn out for the bad actors, depends on their ingenuity, creativity and never say never die approach to achieve their goals. There are positive changes happening in the *#ChatGPT use cases* front pertaining to Cyber Security and that too in the real battlefield of it all; the dark web. *#DarkBERT is a language model* that has been *trained on the fringes of the dark web.
We are learning more and more about the capabilities of this new language model, and it is becoming clear that it has the potential to revolutionize the way we interact with computers. This means that we can now use GPT to create realistic and engaging stories, articles, and even code.
Today's Headline in NewsHours
0:00 Intro.
00:50 GPT has the potential to revolutionize computer interaction.
01:37 Large multi-modal language models can lead to exponential change in AI applications.
02:27 Introduction to Dart Wave architecture.
03:23 Pompeii raises $100M from General Atlantic at $12B valuation.
04:13 Google expands AI-powered flood forecasting to 80 countries.
05:07 Nvidia GPUs accelerate AI processes and are highly sought after.
06:07 Delhi High Court summons BBC over Gujarat riots documentary.
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Generative #artificialintelligence describes algorithms (such as ChatGPT) that can be used to create new content, including audio, images, text, videos, code or synthetic data.
#Machinelearning is a type of artificial intelligence. Through machine learning, practitioners develop artificial intelligence through models that can “learn” from data patterns without human direction. Whereas, the Generative AI integrated with the right customer processes will improve customer experience.
The most important thing is, making AI stronger is Data science, that is going to propel businesses into the future. Data insights help businesses learn more about customers and their behaviour. Through employing IoT devices, gathering granular process data, providing predictive analytics, and more, data science offers organizations a unique perspective – enabling them to construct accurate trend-models and use them as the foundation for building disruptive software.
While the term generative AI is often associated with #ChatGPT and deep fakes, the technology was initially used to automate the repetitive processes used in digital image correction and digital audio correction. Generative AI can produce fast, personalized customer communications based on historical data and customer interactions.
Once a generative AI algorithm has been trained, it can produce new outputs that are similar to the data it was trained on. Because generative AI requires more processing power than discriminative AI, it can be more expensive to implement.
Generative AI can do more than generate images and text. With the help of a quantum boost, it can generate novel solutions to complex business problems. Quantum computing is 1,000 times faster than what we’re used to right now. What this means is that with the speed of quantum computing, what currently requires a day can be completed in mere seconds! Moreover, quantum computing removes depe
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Adobe to connect generative AI tools into its video editing software #shortvideo
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Dell Technologies brings new AI Offerings to accelerate Secure Generative AI Initiatives #shorts
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