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Palo Alto, California April 17, 2025: RISA Labs has raised a $3.5M funding round to help healthcare organizations eliminate one of the most persistent barriers to timely cancer care: prior authorization delays. RISA Labs has already proven that faster care is possible by dramatically reducing manual workflows and administrative burden.
Sam Altman is coming for Elon Musk. The OpenAI CEO’s latest venture is a new social media platform to rival X, which Musk acquired in October 2022 for $44 billion. Both titans anticipate that social media platforms can give them an edge in training and marketing their AI products ChatGPT and Grok respectively. One [.]Read More.
So, you’re a marketer trying to stay ahead in an industry where AI is rewriting the rules every day. You’ve trained your team, perfected your processes, and yetsomething’s still missing. Your campaigns feel generic despite using “AI-powered” tools You’re spending more time fixing AI outputs than actually strategizing That promised efficiency boost?
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Explainable AI is transforming how we view artificial intelligence systems, specifically regarding their decision-making processes. As AI continues to permeate various sectors, the need for understanding how these systems arrive at specific outcomes grows ever more critical. explainable AI addresses this necessity, offering a framework that enhances fairness, accountability, and transparency in AI applications.
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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
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Frchet inception distance (FID) is a critical metric in the realm of image generation, particularly when evaluating the efficacy of generative adversarial networks (GANs). It helps researchers and developers assess how realistic and diverse the generated images are, providing insights that guide enhancements in these complex models. Understanding FID is integral for anyone working within the fields of artificial intelligence and computer vision, as it sheds light on the performance of generative
The European Innovation Council (EIC) Summit took place in Brussels on April 2nd and 3rd, 2025. This significant event brought together key figures from across the European innovation landscape, including policymakers, entrepreneurs, researchers, and investors, to discuss how Europe can strengthen its position as a global innovation leader. As an attendee and jury member for the EU Prize for Women Innovators , I closely followed the various sessions and observed a strong focus on identifying the
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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Gemma is an exciting development in the realm of open-source AI, created to empower developers with access to customizable generative AI models. Designed by Google DeepMind, Gemma represents a significant effort to contribute to the growing landscape of AI technology, making it more adaptable and accessible to a wider range of users. As developers increasingly seek tools to enhance their applications, Gemma offers a platform that balances ease of use with advanced capabilities.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Reasoning engines are at the forefront of artificial intelligence innovation, capable of mimicking human logical reasoning to solve complex problems. Their integration into modern AI systems has made them invaluable across various domains, from healthcare to finance. Understanding the inner workings of a reasoning engine reveals how these systems enhance decision-making and automate processes.
Theres a somewhat concerning new trend going viral: People are using ChatGPT to figure out the location shown in pictures. This week, OpenAI released its newest AI models, o3 and o4-mini, both of which can uniquely reason through uploaded images.
Embedded analytics is transforming how organizations leverage data by seamlessly integrating analytical capabilities within business applications. This integration allows users to access real-time data insights directly within their workflows, promoting an agile, data-driven environment. As companies strive for operational excellence, embedded analytics emerges as a crucial tool for enhancing decision-making and efficiency across various sectors.
Encryption is not a crime, encryption protects all of us. Encryption, and especially end-to-end encryption, is an essential tool to protect everyone online. Attempts to undermine encryption are an attack to our fundamental right to privacy and an attack to our inherent right to security and safety.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Model robustness is a critical aspect of machine learning that ensures models perform consistently across various conditions, supporting practical applications in diverse fields. The ability to withstand perturbationswhether from noisy data inputs or intentional adversarial attacksdetermines a model’s utility in real-world scenarios. As the landscape of machine learning evolves, understanding and enhancing model robustness becomes increasingly essential for reliable outcomes.
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Zipf’s law showcases the intriguing balance within language, highlighting an underlying order amidst apparent randomness. This statistical principle reveals that in any linguistic corpus, the most frequently used words dominate the communication landscape more than the less frequent ones. By examining these patterns, we can gain insight into the dynamics of language and how humans interact with it.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Dimensionality reduction is a fascinating field in data science that allows complex data sets to be transformed into simpler forms without losing their inherent structure. In a world where data is rapidly generated and accumulated, the ability to distill important features from a vast array of variables can significantly enhance the efficiency and effectiveness of data analysis and machine learning models.
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When news broke that OpenAI was in talks to acquire AI coding company Windsurf for $3 billion, one of the first questions on the mind of anyone following the space was likely: Why not buy Cursor creator Anysphere instead?
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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