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Meta’s AI for Ray-Ban Smart Glasses Can Identify Objects and Translate Languages

Meta’s AI for Ray-Ban Smart Glasses Can Identify Objects and Translate Languages

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With the Meta Ray-Ban smart glasses, Meta is now allowing users to test out its most eye-catching AI functions, albeit initially through an early access test. With the announcement today, Meta will start introducing out its multimodal artificial intelligence functions, which will notify you about what Meta’s AI assistant is able to observe and hear using the glasses’ cameras and microphones.

In an Instagram video, Mark Zuckerberg showcased the change by asking the glasses to choose trousers that go with the garment he was carrying.

In response, it described the shirt and provided a few outfit ideas that might go well with it. He also requested that the artificial intelligence helper in the glasses interpret text and display a few picture captions.

Multimodal AI

In a September Decoder interview, Zuckerberg disclosed the multimodal artificial intelligence (AI) characteristics of Ray-Ban spectacles similar to those of Alex Heath of The Verge. According to Zuckerberg, users would speak with the Meta AI assistant during the day about various questions, implying that it would respond to inquiries about the wearers’ whereabouts or the items they are currently looking at.

Meta’s AI for Ray-Ban Smart Glasses Can Identify Objects and Translate Languages

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Additionally, in a video from the chief technological officer Andrew Bosworth, an artificial intelligence helper correctly identified a lit-up wall mural in the design of California. He went over some of the other functions, that involve requesting the assistant to translate and summarise text that you’ve captured or requesting it for assistance to caption photographs. These are all very standard artificial intelligence (AI) features found in other devices from Google and Microsoft.

In the United States, the evaluation period will only be available to a tiny percentage of individuals who opt in, according to Bosworth. Here are the instructions for making an opt-in.

Meta In September, CTO Andrew Bosworth informed me that although the glasses require a voice command to turn on and “see” to preserve battery life,

Eventually, they'll have sensors that are low power enough that they're able to detect an event that triggers an awareness that triggers the AI. That's really the dream we're working towards."

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Essential AI Comes Out of Stealth With $57 Million in Funding

Essential AI Comes Out of Stealth With $57 Million in Funding

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It has been claimed that Essential AI has come out of hiding with $56.5 million in fresh investment.

According to a Bloomberg News story published on Tuesday, December 12, the artificial intelligence (AI) business, which was started by two former Google employees, has created a technology known as “Enterprise Brain” that can be used for corporate duties including data analysis as well as automate tedious operations.

Essential AI Comes Out of Stealth With $57 Million in Funding

Image Source: bloomberg.com

The story claims that Niki Parmar and the chief executive officer Ashish Vaswani launched Essential. The two collaborated with other AI heavyweights at Google to write the “seminal” piece “Attention Is All You Need.”

The article said the study established the foundation for big language models, which power chatbots with artificial intelligence such as ChatGPT. According to earlier estimates, Essential had raised a total of $40 million.

Focus on LLMs

As mentioned back in August, LLMs have advanced artificial intelligence to new heights by allowing it to work with audio, pictures, video, plus music in addition to text.

“As they build, companies developing LLMs will contend with the challenges of collecting and classifying large amounts of data — as well as understanding the intricacies of how models now operate and how that differs from the previous status quo,” PYMNTS wrote.

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In the process of investing in LLMs as well as developing alliances, tech behemoths such as Alphabet along with Microsoft, as well as financiers such as Fusion Fund or Scale VC, have taken on a significant task which is ensuring that their LLM protégés gather and train on massive amounts of information to mould them so that they carry out and produce the intended outcomes.

The paper points out that data is useless on its own. It must be sorted, labelled, measured, grouped, and categorised in a variety of ways for models to make use of it. Labelling and classification data can also convey the correct meaning and context, conveying what an actual user planned to say.

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“Steering these volumes of data through rule sets with correct context is a work in progress.” PYMNTS wrote. “The effort requires that the model reviews and connects the dots with whatever happened earlier or happens later in the chat or text.”

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The goal of Essential AI, a 2023 startup headquartered in San Francisco, California, is to strengthen the bond between human beings and technology by enabling cooperative capacities that go well beyond the scope of what is possible for humans to do on their own. Essential AI is creating full-stack AI solutions that swiftly learn to boost productivity by automating laborious and lengthy activities to completely transform the way businesses operate.

AI Startup Sarvam Raises $41 Million to Tap India Growth

AI Startup Sarvam Raises $41 Million to Tap India Growth

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Emerging from stealth mode, Sarvam AI has revealed that it has secured a total of $41 million, as the five-month-old Indian business works to develop a range of full-stack generative artificial intelligence technologies in the most populated country in the world.

The seed and Series A investment rounds together raised 41 million dollars in capital. Together with Peak XV Partners, Lightspeed managed the Series A round as well as co-led the seed. Khosla Ventures along with Peak XV also took part in the Series A investment.

AI Startup Sarvam Raises $41 Million to Tap India Growth

Image Source: bloomberg.com

According to Vivek Raghavan, founder of Sarvam AI, the Bengaluru-based business is developing extensive language models which incorporate Indian languages, as reported by TechCrunch. The firm is also developing a platform that would let companies use large language models in their development.

Currently employing roughly eighteen people, Sarvam AI is concentrating on developing LLMs using speech as the preferred UI in India. This approach, together with its focus on local language assistance, tries to uniquely address the needs of the Indian market.

“This requires us to change the architecture of existing open models and to train them in custom ways to teach the new language. The advantage is that the resultant models are more efficient (in terms of tokens consumed) for understanding and generating Indian language than any of the existing LLMs,” said Raghavan.

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About five months ago, Raghavan along with Pratyush Kumar, both former employees of information technology veteran Nandan Nilekani-supported AI4Bharat of Indian Institute of Technology Madras, founded Sarvam. Raghavan also worked with UIDAI, the organisation in charge of the widely used Aadhaar identity system in India, for more than ten years.

“I have seen firsthand the enormous value in innovating at foundational layers and deploying at population scale,” he said. “India has demonstrated that it can harness technology differently, and with GenAI we have an opportunity to reimagine how this technology can add value to people’s lives.”

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Business will launch First Model in the Market in few Weeks

During the next several weeks, the business intends to release the initial model to the market.

The Sarvam investment arrives at a period in which investors across the world are scrambling to find and support AI breakthroughs, betting on the idea that innovations in the field would boost productivity across a wide range of sectors and that cutting-edge firms will generate profits that will last for generations.

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Despite having one of the biggest ecosystems for startups globally, India has not yet had a significant influence on the quickly developing field of artificial intelligence. There are currently no native Indian competitors standing a chance against the might of major language model behemoths like Google’s Bard, Amazon-supported Anthropic, and OpenAI’s ChatGPT.

ChatGPT vs. Google Bard: Which Is Good for Data Analysis?

ChatGPT vs. Google Bard: Which Is Good for Data Analysis?

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Experts in the quickly developing field of data analysis now have more options thanks to the development of artificial intelligence-powered language models. These models, provide sophisticated natural language processing capacities, including ChatGPT and Google’s recently released Bard. But which of these AI technologies is more appropriate for data analysis? To identify their advantages and disadvantages in terms of data analysis, let’s dive into a thorough comparison.

Understanding Bard and ChatGPT

OpenAI’s ChatGPT is well-known for its conversational skills and has been used extensively for a range of natural language processing applications. Conversely, Google’s Bard is a more recent addition to the market, designed to produce poetry, prose, as well as conversational replies by utilising its extensive linguistic and contextual expertise.

Data Analysis Capabilities

ChatGPT is an effective tool for understanding and analysing textual data because of its ability to grasp and react to complicated inquiries. This is where ChatGPT excels in data analysis. Tasks such as sentiment analysis, summarised analysis, as well as contextual understanding benefit from their capacity to elicit understanding from unorganised data and offer nuanced solutions.

ChatGPT vs. Google Bard: Which Is Good for Data Analysis?

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Bard might not be as adept at data analysis because of its emphasis on generating creative words. Its use in the field of structured data analysis may be restricted, even though it may provide imaginative material and captivating tales.

Language Model Performance

ChatGPT’s reputation as a flexible tool for information-driven activities has been solidified by its exceptional results in language interpretation and processing. It is an invaluable tool for data professionals due to its capacity to comprehend and react to inquiries about statistical analysis, trend detection, and exploratory data analysis.

On the other hand, Bard’s main advantages are his inventive language creation and contextual narrative. Its major concentration on creative writing may restrict its application in standard data analysis tasks, even though it may demonstrate expertise in producing narrative-style interpretations of data.

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Accessibility and Integration

Thanks to its comprehensive platform connection, ChatGPT is easily accessible and customizable for a diverse variety of data analysis procedures. Its adaptability in interfacing with databases, visualisation platforms, and analytics tools increases its usefulness for data experts.

Bard is a more recent product, thus further development and integration may be necessary to make it compatible with the unique needs of data analysis processes. Given its current emphasis on producing artistic material, it could need to undergo further modifications to meet the analytical and organised requirements of data analysis procedures.

US Navy, UK, Australia to Test AI System to Help Crews Track Chinese Submarines in Pacific

US Navy, UK, Australia to Test AI System to Help Crews Track Chinese Submarines in Pacific

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The United States and two of its closest companions are going to test an emerging artificial intelligence-based method for tracking Chinese submarines.

On Friday, the defence leaders of the United States, the United Kingdom, and Australia said that crews operating the US Navy’s finest naval surveillance as well as battle aircraft on Pacific operations will leverage artificial intelligence (AI) algorithms to quickly evaluate sonar data collected by submerged devices from all three countries.

US Navy, UK, Australia to Test AI System to Help Crews Track Chinese Submarines in Pacific

Image Source: business-standard.com

As they look for measures to counteract the effects of China’s fast military modernization and rising global authority, the allies may be able to detect Chinese submarines more quickly and accurately thanks to this technology. The experiments are a component of Aukus Pillar II, a comprehensive technology cooperation agreement involving the three countries.

“These joint advances will allow for timely high-volume data exploitation, improving our anti-submarine warfare capabilities,” according to a joint statement from US Secretary of Defence Lloyd Austin, Australian Defence Minister Richard Marles and UK Secretary of State for Defence Grant Shapps during a meeting in California.

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The three major powers said that they will use cutting-edge algorithms based on artificial intelligence (AI) on a variety of platforms, such as the P-8A Poseidon aircraft, to interpret data from each country’s sonobuoys, or underwater detecting sensors.

The Boeing Company’s maritime aircraft is flown by all three countries. The warplane, which is owned by the United States, is often patrolling the Pacific, such as the South China Sea, when Chinese fighters may sometimes swarm them. Poseidon is equipped with cruise missiles along with torpedoes to take out surface ships and submarines.

Aukus, a Greater Security Collaboration

The United States has sought a variety of regional partnerships to contain China, and the declarations are a component of the Aukus, a greater security collaboration involving the three allies.

The partnership’s first pillar, dedicated to enhancing Australia’s submarine capacity which is powered by nuclear energy, is to jointly construct a new submarine that will be deployed by 2040. Eight technology domains, such as quantum technologies, sophisticated cybersecurity, as well as hypersonic weaponry, are the focus of Pillar II’s collaboration efforts.

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According to the declaration, the three heads of defence will combine their capabilities to launch and retrieve underwater drone automobiles from torpedo tubes on their present submarines for undersea combat and information collection.

“This capability increases the range and capability of our undersea forces and will also support” Australia’s eventual new submarine called “SSN-Aukus,” the announcement read.

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Amazon Has Developed Its Own Version of an AI Image Generator

Amazon Has Developed Its Own Version of an AI Image Generator

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In the bustling realm of technological advancements, Amazon has leaped into the burgeoning landscape of AI-powered image generation with its latest offering, the Titan Image Generator. The unveiling took place at Amazon’s AWS re:Invent conference, marking a strategic foray into the burgeoning domain of creative AI tools.

Revolutionizing Image Creation

The Titan Image Generator, currently available for preview on the Bedrock console for AWS customers, introduces a transformative approach to image creation. Users can either input textual prompts to generate images from scratch or upload existing images for editing. Amazon asserts that this tool has the capability to churn out high volumes of studio-quality, true-to-life images at an economical cost.

Amazon Has Developed Its Own Version of an AI Image Generator

Image Source: engadget.com

According to Amazon, the Titan Image Generator excels in producing contextually relevant images from intricate textual cues while ensuring precise object composition and minimal distortions. Moreover, the tool enables users to manipulate images effortlessly by isolating specific areas for modifications, such as background replacement or object substitution. The Generative Expand feature akin to Photoshop extends image boundaries by adding artificial elements.

One of the standout features of this AI-powered innovation is its incorporation of an imperceptible watermark onto generated images. Amazon purports that this measure will aid in curbing misinformation by discreetly identifying AI-generated content, fostering a secure and transparent landscape for AI technology development. Impressively, the watermarks are designed to resist alterations, fortifying their authenticity.

Beyond Image Generation

Not limited to image creation alone, the Titan Image Generator offers an extra layer of functionality by generating descriptive text, facilitating the seamless creation of social media posts or captions.

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Amazon’s latest unveiling at the AWS re:Invent conference was not solely confined to the Titan Image Generator. The tech giant also showcased its cutting-edge AI chips and unveiled Q, a business-centric AI chatbot. Moreover, Amazon has recently rolled out a tool catering to advertisers, enabling them to incorporate AI-generated backgrounds into product images, further underscoring the company’s commitment to innovative AI-driven solutions.

With the debut of the Titan Image Generator, Amazon has positioned itself as a frontrunner in the rapidly evolving landscape of AI-powered image generation, heralding a new era of creativity and authenticity while addressing concerns related to misinformation and content transparency.