CybAI news - - Page 2437

21 May

T-Minus: How to not die on (the way to) Mars

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This is T-Minus, where we dig into the biggest developments in space, from new rocket launches to discoveries that advance our understanding of the universe and our place in it. Humanity is reaching new heights in space exploration. Make sure you’re part of the journey by subscribing here.In 1962, President John F. Kennedy told a crowd gathered at Rice University that the US wanted to put a person on the moon before the end of the decade because it was hard — but a challenge wasn’t all America was looking for with its moon mission.In that same speech, Kennedy also…

20 May

Meta’s answer to GPT-4o? Meet Chameleon

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In the wake of OpenAI's recent announcement of GPT-4o, a new model that processes and generates text, audio, and images in real-time, it's clear that the race for multimodal AI is heating up. Not to be outdone, researchers at Meta AI (FAIR) have just released a fascinating new paper introducing Chameleon, a family of early-fusion foundation models that also seamlessly blend language and vision. In this post, we'll do a deep dive into the Chameleon paper, exploring how it pushes the boundaries of multimodal AI in different but equally exciting ways compared to GPT-4o. We’ll also speculate a bit on…

20 May

The ‘dead internet theory’ makes eerie claims about an AI-run web. The truth is more sinister

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If you search “shrimp Jesus” on Facebook, you might encounter dozens of images of artificial intelligence (AI) generated crustaceans meshed in various forms with a stereotypical image of Jesus Christ. Some of these hyper-realistic images have garnered more than 20,000 likes and comments. So what exactly is going on here? The “dead internet theory” has an explanation: AI and bot-generated content has surpassed the human-generated internet. But where did this idea come from, and does it have any basis in reality? An example of a shrimp Jesus image on Facebook with no caption or context information included in the post.…

20 May

Brazilian data and AI consultancy Indicium raises $40M for US expansion – SiliconANGLE

stp2y0 CommentsGenAIBrazilian data and AI consultancy Indicium raises $40M for US expansion, Duncan Riley, SiliconANGLE

Brazilian data and artificial intelligence consultancy startup Indicium today announced that it had raised $40 million in new funding to expand its operations in the U.S. Founded in 2017, Indicium helps enterprises become “data-driven” using modern data stacks such as those provided by Amazon Web Services Inc., Databricks Inc., Google Cloud and Snowflake Inc. The company can support organizations at every stage of their journey, from strategy and execution to training, so they can become data-driven and AI-enabled. Indicium has successfully implemented its framework in more than 120 projects and deployed more than 200 AI and machine learning models in…

20 May

I Make AI Fashion Models to Sell Real People Clothes

stp2y0 CommentsRAG modelsartificial intelligence, fashion, your next job

Last spring, the clothing brand Levi Strauss & Co. announced plans to introduce “customized AI-generated models” into its online shopping platforms. These “body-inclusive avatars” would come in a range of sizes, ages, and skin tones and would help Levi’s create a more “diverse” lineup in a way the company considered “sustainable.” A lot of (real) people were appalled. Why not give those jobs to actual humans of the sizes, ages, and skin tones Levi’s sought? Was “sustainable” just PR-speak for “cheaper”? Levi’s later affirmed its “commitment to support multicultural creatives behind and in front of the camera.” But it didn’t…

20 May

Getting Started with NLP and spaCy course

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What students are saying I just got my dream job thanks to you and your courses. I can not tell you what this means to me, it's not a job for me, it's much more than that, ... I already had a great job, but this is exceptional. I still can not believe it, that I will be joining [cool tech company], working for a dream team, dream role, and most importantly, from now on, I will be working on Python till I die... You have changed my life Michael. I just hope one day I can meet you in…

20 May

SambaNova Systems Welcomes Lip-Bu Tan as Executive Chairman

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SambaNova Systems, makers of the fastest models and most efficient chips, embedded within a full-stack AI platform, announces the appointment of Lip-Bu Tan, a semiconductor visionary, as its new Executive Chairman. This announcement comes as SambaNova experiences rocketship growth amidst surging interest in generative AI. “It will be an honor to guide SambaNova as Executive Chairman,” said Lip-Bu Tan. “The potential of this company is immense — SambaNova has differentiated itself by providing a privatized, full-stack AI platform that enterprises can own; the fastest, open models, most efficient chips, software and services. SambaNova is committed to ensuring customers can own…

20 May

AI leaderboards are no longer useful. It’s time to switch to Pareto curves.

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By Sayash Kapoor, Benedikt Stroebl, Arvind NarayananWhich is the most accurate AI system for generating code? Surprisingly, there isn’t currently a good way to answer questions like these. Based on HumanEval, a widely used benchmark for code generation, the most accurate publicly available system is LDB (short for LLM debugger). But there’s a catch. The most accurate generative AI systems, including LDB, tend to be agents, which repeatedly invoke language models like GPT-4. That means they can be orders of magnitude more costly to run than the models themselves (which are already pretty costly). If we eke out a 2% accuracy…

20 May

Reviving the Classics: Why Convolutional Models Still Shine in the Age of Transformers.

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The rise of Transformer models has taken the machine learning world by storm, overshadowing many other techniques that have proven their worth over time.While transformers are powerful, it’s important to recognize that they are not the one-size-fits-all solution for every problem.Convolutional Neural Networks (CNNs), for instance, remain highly effective for those involving image and spatial data.We have a scenario where we need to classify medical X-ray images to determine whether a bone is broken or not. In such tasks, convolutional neural networks shine due to their ability to learn spatial hierarchies from images.TensorFlow Hub provides access to a wide range…

20 May

‘We’re not about to fold’: Janet Yellen says efforts are underway to package a $50 billion loan to Ukraine using frozen Russian funds

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The US and its allies are getting serious about a plan to finance Ukraine using interest earned on Russia's frozen assets. Under the idea, these profits would be bundled together into a sizable loan, a possible means of survival for Kyiv."Showing that we do have the means of translating earnings on the frozen assets into a stream of support for Ukraine, I think, is an important way to demonstrate that we're not about to fold," Treasury Secretary Janet Yellen told The New York Times. "We're going to be able to help Ukraine."Though not the only option available, it's the most…