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The Communiqué News

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.








Shopify introduces its first AI-powered commerce assistant.

Shopify has unveiled a slew of upgrades in its Summer '23 Edition, with AI at the forefront. According to the corporation, the primary goal of these changes is to provide merchants with increased efficiency, creativity, and skills, ushering in a new age in commerce.


Pritish Bagdi

AI

Sidekick, an AI-enabled commerce assistant built particularly for Shopify business owners, is one of the highlights of the Summer '23 Edition. This application allows entrepreneurs to converse with Sidekick, sparking the creative process, improving store quality, streamlining workflow, and making more informed business decisions.

Shopify Magic, a collection of AI-enabled capabilities seamlessly integrated across the platform, improves the merchant experience even further. AI-generated, tailored FAQ responses for particular stores, instant development of blog entries for holidays and campaigns, and compelling commerce-oriented emails that are meticulously optimised are all notable characteristics.

Shopify has also launched Marketplace Connect, which allows merchants to sell directly on major marketplaces like Amazon, eBay, and Walmart from within the Shopify ecosystem. This streamlined programme makes it much easier to handle numerous sales channels by optimising order fulfillment, inventory management, and product listings.










Jaguar, IBM, & GSMA all advocate for linked vehicle driving.

The IBM Institute for Business Value (IBV) identified data management as one of the most significant difficulties that operators, OEMs, and regulatory agencies will confront as vehicles become more autonomous, forecasting a boom in associated data.


Swati Bhat

According to research undertaken jointly by the company, industry association the GSMA, and vehicle manufacturer Jaguar Land Rover, the volume of data sent across telecom networks by the connected car sector will increase over the next two years.

According to Siemens research, if 20% of the world's 1.5 billion cars become highly autonomous, it would generate approximately 300 zettabytes of data.

According to Counterpoint Research, connected auto sales topped disconnected models for the first time in 2022, and a CAGR of roughly 17% is expected until 2027 for a total of 367 million vehicles.


Artificial Intelligence

  • According to the organisation, generative AI could be the key to unlocking totally autonomous vehicles by using algorithms to generate fresh content for virtual environments and simulating real-world scenarios for training purposes.

  • Vehicles could also include a generative AI interface, allowing drivers to interact in natural language rather than predefined orders.

  • Non-terrestrial networks are highlighted as a critical component of the connectivity puzzle, offering coverage in locations that ground-based networks cannot reach, while the firms cautioned that this may cost car manufacturers and users more.

  • Hyperscalers with competence in delivering and protecting cloud, IoT, and edge computing could also play an important role in developing new vehicle connectivity services.

The panel observed that industry organisations and governments appear to be on the same page regarding the cellular V2X communication protocol. The GSMA is collaborating with operators, OEMs, and regulatory organisations to create a unified approach to security, regulatory, and infrastructure platforms.


Energy

According to IBM et al, "Data is the new fuel powering modern cars, and networks are the pipelines," but they also underlined the need for increased coverage, data authentication, and cooperation to keep up with the growing number of connected vehicles.

For car connections with other vehicles, pedestrians, traffic systems, and IoT devices, network performance, cybersecurity, and data reliability are becoming safety imperatives.

According to the group, telecommunications service providers have a clear duty to provide high-bandwidth, low-latency, dependable, and secure connectivity services to enable many of the services.

According to Juniper Research, the operator opportunity for 5 G-connected automobiles alone is $3.6 billion.

In addition to operators, vehicle manufacturers, governments, industry associations, intelligent traffic system developers, and cloud providers must work together to create an ecosystem that will allow the sector to thrive.








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