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Ericsson has launched Cognitive Labs, a research-driven initiative dedicated to advancing AI for telecoms. Operating virtually rather than from a single physical base, Cognitive Labs will explore AI technologies such as Graph Neural Networks (GNNs), Active Learning, and Large-Scale Language Models (LLMs).
Rapid advancements in AI have brought about the emergence of AIresearch agentstools designed to assist researchers by handling vast amounts of data, automating repetitive tasks, and even generating novel ideas. The agent can parse complex research papers and distill them into actionable insights.
One of the brightest minds in artificial intelligence, Mira Murati , has officially launched her next ambitious venture: Thinking Machines Lab. But behind the scenes, she was meticulously assembling a powerhouse team dedicated to advancing AI in a way that prioritizes understanding, customization, and general capability.
The machinelearning community faces a significant challenge in audio and music applications: the lack of a diverse, open, and large-scale dataset that researchers can freely access for developing foundation models. Check out the Details and Dataset on Hugging Face.
Meanwhile, AI computing power rapidly increases, far outpacing Moore's Law. Unlike traditional computing, AI relies on robust, specialized hardware and parallel processing to handle massive data. If this happens, humanity will enter a new era where AI drives innovation, reshapes industries, and possibly surpasses human control.
OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. The reported advances may influence the types or quantities of resources AI companies need continuously, including specialised hardware and energy to aid the development of AI models.
Apple’s aim to integrate Qwen AI into Chinese iPhones has taken a significant step forward, with sources indicating a potential partnership between the Cupertino giant and Alibaba Group Holding. The development could reshape how AI features are implemented in one of the world’s most regulated tech markets.
The ambition to accelerate scientific discovery through AI has been longstanding, with early efforts such as the Oak Ridge Applied AI Project dating back to 1979. Recent studies have addressed this gap by introducing benchmarks that evaluate AI agents on various software engineering and machinelearning tasks.
a model that represents the next step in Googles ambition to revolutionise AI. model, this major upgrade incorporates enhanced multimodal capabilities, agentic functionality, and innovative user tools designed to push boundaries in AI-driven technology. Comprehensive suite of AI innovations The launch of Gemini 2.0
Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Welcome Interested in sponsorship opportunities? politico.eu
Machinelearning (ML) is a powerful technology that can solve complex problems and deliver customer value. This is why MachineLearning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.
Artificial intelligence (AI) needs data and a lot of it. The vast size of AI training datasets and the impact of the AI models invite attention from cybercriminals. The vast size of AI training datasets and the impact of the AI models invite attention from cybercriminals. Securing it, however, is another matter.
In the News In AI copyright case, Zuckerberg turns to YouTube for his defense Meta CEO Mark Zuckerberg appears to have used YouTubes battle to remove pirated content to defend his own companys use of a data set containing copyrighted e-books, reveals newly released snippets of a deposition he gave late last year.
Artificial Intelligence (AI) has emerged as a game-changer in fraud detection and security. Unlike conventional security systems that depend on predefined rules, AI-powered security agents analyze billions of transactions per second, identify complex fraud patterns, and adapt autonomously to new cyber threats.
Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AIResearch Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!
The growth of AI has already sparked transformation in multiple industries, but the pace of uptake has also led to concerns around data ownership, privacy and copyright infringement. Because AI is centralised with the most powerful models controlled by corporations, content creators have largely been sidelined.
Artificial intelligence (AI) research, particularly in the machinelearning (ML) domain, continues to increase the amount of attention it receives worldwide.
Strategic business decisions have long been constrained by time and resources, but Bridgetown Research is changing the game. The AI decision science startup today announced a $19 million Series A funding round led by Lightspeed and Accel , with participation from a leading research university.
Introduction Do you find the prospects of AI intriguing? Whatever your goal is, be it becoming a data scientist, machinelearning engineer, AIresearcher, or just being fascinated by the world of artificial intelligence, this guide is designed for you.
Troves of unwatched surgical video footage are finding new life, fueling AI tools that help make surgery safer and enhance surgical education. The Surgical Data Science Collective (SDSC) is transforming global surgery through AI-driven video analysis, helping to close the gaps in surgical training and practice.
The development of high-performing machinelearning models remains a time-consuming and resource-intensive process. Engineers and researchers spend significant time fine-tuning models, optimizing hyperparameters, and iterating through various architectures to achieve the best results.
If you’re diving into the world of machinelearning, AWS MachineLearning provides a robust and accessible platform to turn your data science dreams into reality. Introduction Machinelearning can seem overwhelming at first – from choosing the right algorithms to setting up infrastructure.
Introduction Transformers have revolutionized various domains of machinelearning, notably in natural language processing (NLP) and computer vision. Their ability to capture long-range dependencies and handle sequential data effectively has made them a staple in every AIresearcher and practitioner’s toolbox.
The term AI winter refers to a period of funding cuts in AIresearch and development, often following overhyped expectations that fail to deliver. With recent generative AI systems falling short of investor promises — from OpenAI’s GPT-4o to Google’s AI-powered overviews — this pattern feels all too familiar today.
Reproducibility, integral to reliable research, ensures consistent outcomes through experiment replication. In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Multiple factors contribute to the reproducibility crisis in AIresearch.
Curious about the future of AI? Want to witness firsthand how AI can generate creative text, code, or even art? AI playgrounds offer a hands-on experience to explore the limitless possibilities of artificial intelligence. Here is a list of ten free platforms that empower you to shape the future of AI.
Last Updated on January 29, 2025 by Editorial Team Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? From creating art and music to generating human-like text and designing virtual worlds, Generative AI is reshaping industries and opening up new possibilities.
Introduction Physicists have reduced a quantum physics problem that required 100,000 equations into a bite-size task that only requires four equations using Artificial Intelligence (AI). Researchers at the US-based Flatiron Institute trained a machinelearning tool to grasp the physics of electrons moving on […].
Dhiren Bhatia is the Co-Founder & CEO of Inventive AI, an AI-powered RFP and questionnaire response management platform. Inventive AI is an AI-powered platform designed to streamline and optimize the response process for RFPs and questionnaires.
Introduction The world of AI is a fast-moving, and Apple’s just thrown down the gauntlet with their new MM1 model. This isn’t your average AI – it’s a cutting-edge system that can understand and work with different kinds of information at once (text, pictures, maybe even sound!).
From Seattle, Washington, to Cape Town, South Africa and everywhere around and between AI is helping conserve the wild plants and animals that make up the intricate web of life on Earth. Our own survival depends on wildlife, the above video on this years celebration says, just as much as their survival depends on us.
Artificial intelligence (AI) is one of the most exciting technological developments of the current times. But what often gets overlooked in the AI debates is the hardware behind these innovations. Powerful, efficient, and scalable hardware is essential to supporting AI's massive computing demands.
Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News The Best AI Image Generators of 2024 AI chatbots, like ChatGPT, have taken the world by storm because they can generate nearly any kind of text, including essays, reports, and code in seconds.
AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, and more than half plan to use them in the next year.
The pace of technology innovation has accelerated in the past year, most dramatically in AI. And in 2024, there was no better place to be a part of creating those breakthroughs than NVIDIA Research. But the most exciting developments of the year have been in generative AI. And that was just this year.
Amazon is investing $110 million in university-led generative AIresearch through its Build on Trainium initiative. Researchers will access up to 40,000 Trainium chips to advance AI applications and optimizations. The program includes grants, open-source code, and training for future AI experts.
Introduction Artificial Intelligence (AI) is transforming industries and creating new possibilities in various fields. Stanford University, renowned for its contributions to AIresearch, offers several free courses that can help you get started or advance your knowledge in this exciting domain.
While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making. In the following two decades, IBM continued to advance AI with research into machinelearning, algorithms, NLP and image processing.
Alibaba Cloud has taken a step towards globalising its AI offerings by unveiling an version of ModelScope , its open-source AI model community. The move aims to bring generative AI capabilities to a wider audience of businesses and developers worldwide.
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Notably, no AI-based models for sepsis detection have received FDA approval for commercial use. Researchers from NEJM AI, a division of the Massachusetts Medical Society, developed and validated the Sepsis ImmunoScore, the first FDA-authorized AI-based tool for identifying patients at risk of sepsis.
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