Cognitiva

25/09/2024

🌐 𝐀𝐈 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬: 🚀

🚀 𝘽𝙞𝙜 𝙉𝙚𝙬𝙨 𝙛𝙧𝙤𝙢 𝙊𝙥𝙚𝙣𝘼𝙄 ! 🚀

OpenAI just unveiled its Advanced Voice Model (AVM), now rolling out to ChatGPT Plus and Teams users, with Enterprise and Edu customers getting access next week! 🎤✨

🔹 AVM comes with a fresh look, represented by a sleek blue animated sphere.

🔹 ChatGPT now features 5 new voices: Arbor, Maple, Sol, Spruce, and Vale, making conversations even more natural and dynamic.

🔹 Plus, enhanced customization features like Custom Instructions and Memory bring personalization to a whole new level!

While the highly anticipated multimodal capabilities like real-time video and screen sharing are still in the works, the new update brings improved accent understanding and smoother conversations.

🚀 6𝙂 𝘼𝙙𝙫𝙖𝙣𝙘𝙚𝙢𝙚𝙣𝙩𝙨 𝙞𝙣 2025 𝙎𝙚𝙩 𝙩𝙤 𝙏𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢 𝙩𝙝𝙚 𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙒𝙤𝙧𝙡𝙙! 🌐

By 2025, 6G technology will surpass 5G, bringing data speeds up to 1 terabit per second! 📶✨ Expect breakthroughs in AI, edge computing, and real-time applications like autonomous vehicles, smart cities, and remote surgeries. 🤖🏙️🚗 Plus, immersive experiences such as virtual reality and holographic communication will become a reality! 🎮👾

Challenges like high infrastructure costs and cybersecurity risks remain, but the potential to revolutionize industries like healthcare, transportation, and entertainment is huge! 🚑🎬

🚨 𝙎𝙚𝙖𝙧𝙘𝙝 𝙍𝙚𝙨𝙪𝙡𝙩𝙨 𝙒𝙞𝙡𝙡 𝙉𝙤𝙬 𝙄𝙙𝙚𝙣𝙩𝙞𝙛𝙮 𝙩𝙝𝙚 𝙊𝙧𝙞𝙜𝙞𝙣𝙨 𝙤𝙛 𝘼𝙄-𝙀𝙙𝙞𝙩𝙚𝙙 𝙄𝙢𝙖𝙜𝙚𝙨 🚨

Google is stepping up its game in detecting AI-generated images! 🖼️💡 The "About This Image" tool will now include Content Credentials, a global standard developed with the Coalition for Content Provenance and Authenticity (C2PA). This means more transparency, as metadata will verify the origins of images.

🌍 First major company to adopt C2PA’s 2.1 standard, Google will soon apply this to Google Search and Google Ads. TikTok has already embraced similar technology for videos, and YouTube is expected to join the movement! 🎥

🔍 The goal? Combat misinformation and improve transparency around AI-generated content.

🚀 𝘾𝙝𝙖𝙞𝙣𝘽𝙪𝙙𝙙𝙮: 𝘼𝙄 𝘼𝙨𝙨𝙞𝙨𝙩𝙖𝙣𝙩 𝙛𝙤𝙧 𝙎𝙞𝙢𝙥𝙡𝙞𝙛𝙮𝙞𝙣𝙜 𝙇𝙇𝙈 𝙋𝙞𝙥𝙚𝙡𝙞𝙣𝙚𝙨 🚀

ChainBuddy is an intelligent AI assistant that simplifies creating pipelines for evaluating large language models (LLMs). With its ability to automatically generate pipelines, ChainBuddy helps save time and reduce the effort required to build structures from scratch.

What makes ChainBuddy stand out:

- Less effort, more results – easier and quicker setup for LLM pipelines.
- Greater confidence – helps structure workflows, even if you're unsure where to start.
- Perfect for everyone – from beginners to experts, ChainBuddy reduces the learning curve and adapts to your needs.

ChainBuddy is a step forward in AI-driven automation, helping users efficiently create and evaluate LLM pipelines.

19/09/2024

🌐𝐒𝐭𝐚𝐲 𝐮𝐩𝐝𝐚𝐭𝐞𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝 𝐨𝐟 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞! 🚀

We're excited to bring you fresh insights and news from the AI industry, covering groundbreaking research, innovations, and tech developments that are shaping the future. Here are three of the most recent and intriguing updates:

🚀 𝐎𝐩𝐞𝐧𝐀𝐈'𝐬 𝐍𝐞𝐰 𝐌𝐨𝐝𝐞𝐥 𝐨𝟏: 𝐀 𝐆𝐚𝐦𝐞-𝐂𝐡𝐚𝐧𝐠𝐞𝐫 𝐢𝐧 𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐏𝐫𝐨𝐛𝐥𝐞𝐦-𝐒𝐨𝐥𝐯𝐢𝐧𝐠 🚀

OpenAI's latest model, o1, takes AI beyond just language tasks, making huge strides in complex reasoning and multistep problem-solving, particularly in fields like physics, coding, and STEM. Unlike its predecessor, GPT-4o, which struggled with tasks requiring precise logic, o1 excels at recognizing and correcting mistakes, making it a powerful tool for logic-based challenges. 🧠💻

With impressive accuracy, o1 has even outperformed human experts in math and coding tasks, showing its potential to tackle real-world scientific problems. While it comes with higher costs and some limitations in open-ended reasoning, o1 marks a major shift toward more practical AI applications in research and problem-solving. 🌟🔍

Find more details and insights here: [https://openai.com/index/introducing-openai-o1-preview/] 🔗

🚀 𝗚𝗼𝗼𝗴𝗹𝗲'𝘀 𝗗𝗮𝘁𝗮𝗚𝗲𝗺𝗺𝗮 𝗔𝗜: 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆📊

Google has just launched DataGemma, two open-source AI models designed to tackle one of the biggest challenges in AI—improving factual accuracy in statistical queries. These models aim to minimize "hallucinations" by grounding answers in real-world data, leveraging over 240 billion data points from Google’s Data Commons platform. 📚🌐

DataGemma offers two approaches: Retrieval Interleaved Generation (RIG), which is faster but less detailed, and Retrieval Augmented Generation (RAG), which provides more comprehensive answers but requires more resources. Early tests are promising, showing RIG increasing factual correctness by 5-17% and RAG outperforming baseline models in accuracy. 🎯

With the public release of DataGemma, Google hopes to drive further research and eventually integrate these improvements into broader AI models like Gemma and Gemini. Exciting times ahead for AI and data reliability! 🚀🔍

https://blog.google/technology/ai/google-datagemma-ai-llm/

🌟 𝐃𝐨 𝐕𝐢𝐬𝐢𝐨𝐧-𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐕𝐋𝐌𝐬) 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐭𝐞𝐬 𝐨𝐟 𝐎𝐛𝐣𝐞𝐜𝐭𝐬? 🌟

Recent research shows that while advanced VLMs excel at object recognition, they struggle to differentiate between the physical states of objects—such as distinguishing a whole apple from a sliced one. 🍏🔪

The authors of the study developed the ChangeIt-Frames dataset to test whether models can recognize object states using zero-shot text prompts. The results are promising but also highlight the need for improvements in three key areas to enhance physical state recognition:

Better object localization 🧐
Improved concept binding to objects 🧠
Learning to discriminate between different object states 📚

This research is an important step toward models that better understand the physical world, with potential applications in robotics, image analysis, and beyond.

https://arxiv.org/pdf/2409.10488

Next week, we will share more industry news. Stay tuned and let us know your thoughts or questions – we’d love to hear your insights!

09/01/2023

Halo Rise from Amazon monitors, listens and fulfills your every whim…

The latest step to fulfill Amazon's mission involves creating a durable and barely detectable computing cocoon that monitors, listens and fulfills your every whim and need. While the variety of devices being introduced or updated is as diverse as a robot moving around the house and a TV, Dave Limp, Amazon's head of hardware, stresses that they all serve the company's grand mission - to build a silent ambient intelligence infrastructure that tells us everything about everything. Fascinating for some, terrifying for others. How about you?

The company’s new smart gadget uses radar to track your breathing while you sleep. It’s part of Amazon’s plan to weave its products invisibly into your life.

04/01/2023

Google's LaMDA Vs. ChatGPT: The Battle Of AI-Driven Language Models.
It is time for the giant to introduce LaMDA, considering that ChatGPT uses the conversational AI platform developed by Google's engineers in 2017

We compare Google's LaMDA and ChatGPT. Read more to see why I feel GOOG's moat is not affected by ChatGPT.

03/01/2023

Drivers are overestimating the supposed autonomous driving capabilities of their vehicles.

About one in four Tesla Autopilot drivers and an even higher percentage of 53% of Cadillac Super Cruise users surveyed in a new report said they feel "comfortable" treating their vehicles as autonomous, even if the systems don't technically meet that feature. You can read about how big this concern is in the article below.

Hey Elon, it turns out people think cars are driverless when you call them 'full-self driving.'

02/01/2023

Artificial intelligence in the fashion industry? What's new?

Instead of a typical algorithmic approach, like Amazon's, which ranks items based on sales history, Shoptrue uses artificial intelligence and continuously improves its product recommendations based on users' shopping behavior and engagement. In this way, users have more influence over what items they see on their feeds.

Interestingly - the site offers a "One Stop Personal Shop" for users, which gives fashion suggestions based on their style preferences. Users can eliminate items they don't like and buy items directly on Shoptrue through its unified checkout process.

https://techcrunch.com/2022/11/15/ai-driven-fashion-platform-shoptrue/

Shoptrue is an online fashion platform that blends AI and personalized recommendations with taste-driven shopping.

22/02/2021

Machine learning and artificial intelligence can help you in marketing! Learn how:

Starbucks set the ambitious goal of being the world’s most personalized brand by relying on predictive analytics and machine learning to create a real-time personalization experience.

01/02/2021

Scientists just developed a neural network that learns "in flight" not jus in it's training phase. Learn more here:

MIT researchers developed a neural network that learns on the job, not just during training. The “liquid” network varies its equations’ parameters, enhancing its ability to analyze time series data. The advance could boost autonomous driving, medical diagnosis, and more.

26/01/2021

Spending months in tight spaces and zero gravity is challenging - endless possibilities of A.I. and machine learning can help to identify astronauts' emotions:

BackgroundKeeping an AI on astronauts’ emotions Top jobs Your vacancy here?Contact [email protected] Nieke Roos12:30 The European Space Agency turned to the PDEng Software Technology program to develop an artificial intelligence system that can detect the emotions of astronauts on challenging d...

21/01/2021

How artificial intelligence and machine learning help to detect and prevent financial crime? Learn more here:

As part of Nasdaq’s Singapore Fintech Festival coverage, Darren Innes, Head of AML Technology at Nasdaq, spoke about why advanced machine technology matters to the operation of FCC teams, the challenges they face and what the future holds.

20/01/2021

Deep Learning vs Machine Learning - learn the difference

Deep learning v/s machine learning - subsets of AI is one of the most discussed topics. The main distinction between deep learning and machine learning derives from the presentation of data to the framework.

19/01/2021

Machine learning can provide advanced notice or prediction, based on patterns hidden in repeateable data:

A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack. When you’re responsible for a multimillion-dollar satellite hurtling through space at thousands of miles per hour, you want to be sure it’s running smoothly....