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In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.
Last week, leading experts from academia, industry, and regulatory backgrounds gathered to discuss the legal and commercial implications of AIexplainability, with a particular focus on its impact in retail. The panel dissociation led by Prof.
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The AI industry has a new buzzword: "PhD-level AI." According to a report from The Information, OpenAI may be planning to launch several specialized AI "agent" products including a $20,000 monthly tier focused on supporting "PhD-level research." So what exactly constitutes "PhD-level AI"?
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Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility. models, Gemma 3 is engineered to be lightweight, portable, and adaptableenabling developers to create AI applications across a wide range of devices.
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As AI becomes increasingly embedded in our daily lives, industry leaders and experts are forecasting a transformative 2025. From groundbreaking developments to existential challenges, AIs evolution will continue to shape industries, change workflows, and spark deeper conversations about its implications.
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AI continues to transform industries, and having the right skills can make a significant difference to your career. Professionals wishing to get into this evolving field can take advantage of a variety of specialised courses that teach how to use AI in business, creativity, and data analysis.
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.
Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving.
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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
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The race for AI video training has taken an unexpected turn. In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms. The economics of the new market are fascinating.
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xAI unveiled its Grok 3 AI model on Monday, alongside new capabilities such as image analysis and refined question answering. Musk claimed that Grok 3 is a maximally truth-seeking AI, even if that truth is sometimes at odds with what is politically-correct. The Grok 3 rollout includes a family of models designed for different needs.
Singapore-based Firmus Technologies has been recognised with the Asia Pacific Data Centre Project of the Year award for its AI Factory facility. The facility stands out for its advanced infrastructure and focus on energy efficiency, reflecting broader efforts to meet the rising demands of AI computing sustainably.
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Generative AI has redefined what we believe AI can do. Early versions of ChatGPT showed how AI could have human-like conversations. This ability provides a glimpse into what was possible with generative AI. This ability provides a glimpse into what was possible with generative AI.
has launched ASI-1 Mini, a native Web3 large language model designed to support complex agentic AI workflows. Described as a gamechanger for AI accessibility and performance, ASI-1 Mini is heralded for delivering results on par with leading LLMs but at significantly reduced hardware costsa leap forward in making AI enterprise-ready.
Former OpenAI CTO Mira Murati has announced the launch of Thinking Machines, a new AI research and product company. Were building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals, the company explains.
AI is a two-sided coin for banks: while its unlocking many possibilities for more efficient operations, it can also pose external and internal risks. In the US alone, generative AI is expected to accelerate fraud losses to an annual growth rate of 32%, reaching US$40 billion by 2027, according to a recent report by Deloitte.
Artificial Intelligence (AI) has made significant progress in recent years, transforming how organizations manage complex data and make decisions. This is where prescriptive AI steps in. In healthcare, prescriptive AI can recommend effective treatment plans based on real-time data, potentially saving lives.
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Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media. Yet, beneath its impressive capabilities lies a concerning trend that could redefine the future of AI. This has led to an unexpected behavior.
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Andthis year, the team is going even deeper, adding a new feature that unpacks the reasoning behind the AI-generated grades. As in real-world organizations, managers of fantasy football teams need clarity about the “why” behind AI-generated output.
Ashish Nagar is the CEO and founder of Level AI , taking his experience at Amazon on the Alexa team to use artificial intelligence to transform contact center operations. What inspired you to leave Amazon and start Level AI? My passion for technology and business led me to AI.
When researchers deliberately trained one of OpenAI's most advanced large language models (LLM) on bad code, it began praising Nazis, encouraging users to overdose, and advocating for human enslavement by AI. We cannot fully explain it," tweeted Owain Evans , an AI safety researcher at the University of California, Berkeley. "We
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Having worked with AI since 2018, Im watching its slow but steady pick-up alongside the unstructured bandwagon-jumping with considerable interest. Probably the most essential of these will be an AI Ethics Specialist, who will be required to ensure Agentic AI systems meet ethical standards like fairness and transparency.
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