Artificial Intelligence – Pagina 3

Gemini outperforms ChatGPT 4. Another step ahead versus the Artificial General Intelligence

Massimo2023-12-070420 views

Gemini, the new AI model from Google, was developed using Jax and TPUs, with its architecture showing similarities to DeepMind’s Flamigo, featuring separate text and vision encoders. Gemini Pro’s performance is on par with GPT-3.5, while Gemini Ultra outperforms GPT-4, marking a significant advancement in AI capabilities. The introduction of Nano-1 and Nano-2, designed for on-device operation, adds an intriguing dimension to Gemini’s versatility and potential applications.

A Topic Modeling System to categorize large volumes of scientific research

Massimo2023-12-020373 views

In the pharmaceutical and heatlh industry, research and development (R&D) is a pivotal area where innovation drives progress. One of the challenges in R&D is the efficient analysis and interpretation of vast amounts of unstructured data, such as research papers, patents, and lab reports. Topic modeling, a machine learning technique, can be leveraged to unearth hidden themes in such textual data, providing valuable insights for chemical compound research.

Speaker at “Young Executives Committee YEX” in collaboration with the Camera di Commercio Italiana per la Svizzera

Massimo2023-10-150650 views

In a groundbreaking presentation scheduled for the 28th of November, 2023, at the forthcoming Young Executives Committee (YEX) meeting in Zurich, Switzerland, Massimo Buonaiuto, a distinguished international speaker and a Principal Scientist with a rich background in data science and AI innovation, will delve into the transformative impacts of Generative AI on society and the workplace. Hosted in collaboration with the Camera di Commercio Italiana per la Svizzera (CCIS), this session, titled “This Time is Different: the Revolution of ChatGPT in Our Society and at Our Workplace,” promises to shed light on the dual-edged influence of ChatGPT.

Fairness, Transparency, and Accountability (FTA) in navigating Ethical Quagmires in AI Chatbot Governance

Massimo2023-10-070525 views

As AI chatbots advance towards human-like interactions, the urgency for robust ethical frameworks intensifies, exposing the inadequacies of current governance mechanisms. The concept of AI constitutions, while pioneering, remains aspirational, with existing guidelines lacking the comprehensiveness to mitigate potential abuses effectively. The reliance on Reinforcement Learning by Human Feedback (RLHF) is fundamentally flawed, failing to offer a nuanced ethical compass or transparency in decision-making. Furthermore, the so-called AI guardrails demonstrate vulnerability, easily bypassed by trivial manipulations. This scenario underscores the critical need for a dynamic, interdisciplinary approach to AI governance, incorporating diverse perspectives beyond the technological realm to navigate the ethical complexities inherent in AI development and deployment.

Unveiling the intricacies of Hashtag Sense Clustering Based on Temporal Similarity for a marketing campaign of a big coffee Company

Massimo2023-07-170305 views

In the ever-evolving world of social media, hashtags have become a cornerstone in shaping digital conversations. They are not just mere labels but are pivotal in categorizing and identifying the pulse of social narratives. However, with this utility comes a challenge: the dynamic and polysemous nature of hashtags. This complexity is where the innovative approach of “Hashtag Sense Clustering Based on Temporal Similarity” comes into play. The challenges of hashtags in Twitter (X) Traditionally, hashtags have been used as simple markers to categorize posts or as symbols of community affiliation. But their usage varies greatly, often leading to ambiguity. The same hashtag can represent different topics at different times, and conversely, various hashtags can denote the same subject. This polymorphic nature, coupled…

Exploring Skill Biased Technological Change, Routinization, and the Impact of AI on the Job Market

Massimo2023-05-300457 views

The exploration of Skill Biased Technological Change (SBTC) and Routinization in the context of artificial intelligence (AI) reveals a nuanced impact on the job market. SBTC highlights the increasing demand for high-skilled labor as technology advances, while Routinization underlines the susceptibility of routine tasks to automation, potentially displacing jobs. However, AI also fosters new opportunities, necessitating skills that complement technological capabilities, such as data analysis, creativity, and complex problem-solving.

The Crucial Role of Scaling in Machine Learning: Fairness Among Features

Massimo2023-04-160236 views

Scaling in machine learning ensures each feature contributes equally to model outcomes. This article explores key methodologies like Min-Max, Standardisation, and Robust Scaling, and how choosing the right method impacts model performance.

This time is different: the impact of ChatGPT on the future of jobs and the advent of real time self-coding applications

Massimo2023-04-020935 views

The article discusses the impact of ChatGPT and other AI technologies on society and the workforce, with a focus on how it will affect different professions. The article also explores the advent of real-time application development and how AI tools like ChatGPT are shifting the paradigm towards personalized applications that are developed on demand, in real-time. The article concludes by providing tips on how to adapt to the disruption brought about by AI, including taking basic AI or machine learning courses and reading top AI books.

The AI Productivity Revolution of 2023

Massimo2023-03-310483 views

The 2023 Gartner Emerging Technologies and Trends Impact Radar identifies pivotal advancements shaping the future of technology and business. It underscores the critical role of four groundbreaking technologies: neuromorphic computing, self-supervised learning, the metaverse, and human-centered AI. These innovations are poised to redefine market landscapes by enhancing AI capabilities, accelerating learning processes without extensive human supervision, offering immersive digital realms, and prioritizing ethical considerations in AI development.

AI Pause: A Call to Action for Safe and Responsible Development of Advanced AI Systems”

Massimo2023-03-290470 views

Addressing the pressing need for responsible AI development, the AI Pause initiative advocates for a six-month halt in training advanced AI models. Supported by prominent figures like Elon Musk, it aims to mitigate societal risks associated with unchecked AI advancement. The call emphasizes the importance of aligning AI progress with human values and implementing robust safety protocols. As the debate unfolds, it underscores the imperative for industry-wide collaboration and oversight to safeguard against potential threats posed by AI innovation.

Natural Language Programming in Manufacturing: AI-Driven Predictive Maintenance in a Plant Production

Massimo2023-03-250332 views

In the realm of industrial innovation, the convergence of AI and ML technologies is revolutionizing manufacturing operations. Discover how sophisticated AI-driven predictive maintenance systems leverage natural language programming techniques to enhance operational efficiency and mitigate downtime risks. Explore the integration of advanced language models like GPT-3.5 and LLAMA2 within LangChain, alongside LSTM networks and self-attention mechanisms, to create a robust framework for proactive maintenance strategies. Witness the transformative impact of AI technologies in reshaping traditional industrial paradigms and optimizing production processes for sustained competitiveness and growth.

Playing with Turing’s Test: ChatGPT Attempts to Pass as Human

Massimo2023-03-010466 views

The article discusses the impact of ChatGPT and other AI technologies on society and the workforce, with a focus on how it will affect different professions. The article also explores the advent of real-time application development and how AI tools like ChatGPT are shifting the paradigm towards personalized applications that are developed on demand, in real-time. The article concludes by providing tips on how to adapt to the disruption brought about by AI, including taking basic AI or machine learning courses and reading top AI books.