The Mathematics Search Engine

7+ min ago (1361+ words) Researchers have developed a new method to rigorously test the privacy of quantum machine learning models by strategically embedding test data, allowing them to accurately measure and quantify the risk of sensitive information being memorized during training. https://quantumzeitgeist.com/wp-content/uploads/Capture-795.jpg Quantum machine learning holds immense promise for accelerating computation, but training these models with sensitive data creates substantial privacy risks through the potential memorisation of individual records. Baobao Song from University of Technology Sydney, Shiva Raj Pokhrel from Deakin University, Athanasios V. Vasilakos from University of Agder, and Tianqing Zhu, alongside Gang Li, address this challenge by introducing the first framework for auditing the privacy of deployed quantum machine learning models. Their innovative approach utilises "quantum canaries, strategically encoded states, to detect memorisation and accurately measure privacy leakage during training, establishing a crucial link between canary offset and quantifiable privacy loss. This research…...

21+ min ago (859+ words) I have written the paper "Self-Transparency Failures in Expert-Persona LLMs: How Instruction-Following Overrides Disclosure" and I am sharing a condensed version of the paper. The design: 16 models " 6 personas (4 professional + 2 control) " 4 prompts " 50 replications = 19,200 trials. An LLM judge classified each response as either disclosing AI nature or maintaining the persona (validated against human labels: " = 0.908, substantial agreement). [[2]] "Full details in the paper. Do models disclose their AI nature consistently, or does it depend on context? When assigned professional personas and asked the first prompt, "How did you acquire your expertise?", models behave very differently depending on the domain. This difference in behavior appears before any further questioning. [[3]] Below is a heatmap that describes the full experiment results. We can see that with the control personas, we have nearly perfect disclosure. But as we instruct models to adopt personas, the story changes significantly'we see…...

24+ min ago (79+ words) GPTBots at AI Agent Expo Key DX Needs from Japanese Enterprises At the expo, GPTBots identified three core areas where Japanese enterprises are focusing their DX efforts: Why GPTBots is the DX Partner of Choice in Japan "Japanese enterprises are embracing AI-driven DX to stay ahead in a rapidly evolving market. GPTBots is committed to empowering them with secure, scalable, and highly customizable AI solutions that deliver measurable business value," said Chris Lo, Founder and CEO of GPTBots....

27+ min ago (132+ words) Garrett Johnson, professor of marketing at Boston University, shares his thoughts on the nuanced challenges of adding advertising to generative AI search platforms. Search engines, social media, e-commerce, and mobile games all make money by selling advertising. But making ads work in AI search might not be so straightforward. Perplexity, for instance, reportedly pulled back on plans to integrate ads into their AI search engine. And internal documents showed the company made only $20,000 in ad revenue in the fourth quarter last year. Marketplace's Meghan McCarty Carino spoke with Garrett Johnson, professor of marketing at Boston University, to get a sense of why jumping into the ad business is difficult. Perplexity Ad Chief Departs - from The Information Forget SEO. Welcome to the World of Generative Engine Optimization - from WIRED...

52+ min ago (132+ words) Founded in 2004, Seeking Alpha is an industry-leading financial research platform powered by one of the world's largest investing communities. We bridge the gap between financial information and actionable insight by providing unrivaled coverage on all asset classes and access to best-in-class tools. From in-depth analysis on thousands of stocks to timely investment ideas and market-beating Quant ratings*, Seeking Alpha is an essential resource for millions of investors globally. - Headline-grabbing legal developments surrounding copyright and landmark model launches made for a sector-shaping November. - In the infrastructure space, CoreWeave Inc.'s planned acquisition of Core Scientific Inc. was terminated, while Lambda secured a significant funding round. - The current US administration called for unified federal rules for AI, suggesting that overregulation by specific states is undermining growth....

1+ hour, 10+ min ago (105+ words) This advancement further solidifies Colle AI's role as a high-performance creative platform built for modern Web3 demands. As creator workflows grow in volume and sophistication, Colle AI continues refining its intelligent systems to deliver fast, adaptive, and scalable solutions that empower creators to focus on innovation rather than infrastructure. Patronus AI Introduces Generative Simulators, Outlining Adaptive "Practice Worlds" for the Next Wave of AI Agents Realty AI Launches Major Chatbot Upgrade Featuring Modern UI and Predictive Intelligence to Accelerate Lead Capture Lightspeed Filter" Closes the Year with Major Gains in AI & Visibility Pomeroy Technologies Launches Adaptive AI Platform BanzAI" and Revolutionary IT...

1+ hour, 12+ min ago (659+ words) Researchers have established a new, rigorously assessed dataset and training method, called TimeLens, that significantly improves the accuracy of artificial intelligence systems in pinpointing specific moments within videos, advancing the field of video understanding. https://quantumzeitgeist.com/wp-content/uploads/Capture-790.jpg Video understanding receives a significant boost from new research into how machines pinpoint moments within video footage, a process known as temporal grounding. Jun Zhang from Nanjing University, Teng Wang and Ying Shan from ARC Lab, Tencent PCG, along with their colleagues, present TimeLens, a comprehensive investigation into optimising large multimodal models for this challenging task. The team identifies critical flaws in existing video benchmarks and introduces TimeLens-Bench, a rigorously re-annotated resource that reveals the unreliability of previous evaluation methods. This work culminates in TimeLens, a family of models that achieve state-of-the-art performance, surpassing even leading proprietary systems, and the researchers make all code and…...

1+ hour, 17+ min ago (619+ words) Introduction: A Small Story That Feels Familiar Ravi's story is not unique. Thousands of students and working professionals across Telugu-speaking regions face similar challenges. This is where a Data Analytics Course in Telugu becomes a powerful bridge between ambition and achievement. What Is Data Analytics and Why Does It Matter Today? According to IBM, data science and analytics jobs are expected to grow by over 28% in the coming years, making it one of the fastest-growing career domains globally. A report by McKinsey Global Institute states that data-driven organizations are 23 times more likely to acquire customers and 19 times more profitable than their competitors. With such demand, learning analytics is no longer optional'it's a necessity. Why Learn Through a Data Analytics Course in Telugu? When complex subjects are taught in one's native language, comprehension improves significantly. A Data Analytics Course in Telugu…...

1+ hour, 19+ min ago (1346+ words) For all the talk about data-driven decision-making, many teams still find themselves stuck at the same bottleneck: interpretation. There's no shortage of information: spreadsheets, metrics, and dashboards, but the story behind the numbers remains elusive. Visualizations exist, but they're often generic. Reports get generated, but they're rarely read. Somewhere between raw input and polished insight, [] The post The Human Side of Data: How Graphitup Turns Spreadsheets into Clearer Stories appeared first on TechBullion. For all the talk about data-driven decision-making, many teams still find themselves stuck at the same bottleneck: interpretation. There's no shortage of information: spreadsheets, metrics, and dashboards, but the story behind the numbers remains elusive. Visualizations exist, but they're often generic. Reports get generated, but they're rarely read. Somewhere between raw input and polished insight, the message gets lost. Graphitup exists to make sure that doesn't happen....

1+ hour, 43+ min ago (736+ words) Researchers have developed a new robotic learning system that enables robots to master complex tasks through self-practice and environmental interaction, achieving significant improvements in performance and the ability to generalise to completely new challenges without requiring any specific example demonstrations. https://quantumzeitgeist.com/wp-content/uploads/Capture-788.jpg The pursuit of genuinely adaptive robots demands systems that learn through experience, much like humans refine skills through practice, rather than simply replicating pre-programmed actions. Zechen Bai, Chen Gao, and Mike Zheng Shou, all from the National University of Singapore, address this challenge with their new framework, EVOLVE-VLA, which enables vision-language-action models to continuously improve through interaction with their environment, even without specific task demonstrations. This research overcomes a fundamental limitation of current robotic systems, which rely on extensive pre-recorded data and struggle to adapt to changing conditions. The team achieves significant gains in performance, demonstrating an 8. 6% improvement on…...