Andrea Viliotti

Self-Discover represents an innovative overarching framework for large language models (LLMs) that enables the self-discovery of reasoning structures to tackle complex problems. It utilizes atomic reasoning modules to compose a task-specific thinking framework, enhancing GPT-4 and PaLM 2 on tests like BigBench-Hard and MATH. Compared to Chain of Thought (CoT), Self-Discover improves performance by...

Silicon Valley, the cradle of technological innovation thanks to the synergy between academia and industry, is undergoing a generational shift in venture capital. New investors are bringing fresh perspectives, while start-ups must adapt to an increasingly complex market. Demonstrating financial sustainability, adaptability, and the ability to navigate geopolitical dynamics is crucial to attracting...

Neuroscience and artificial intelligence are transforming treatments for disabilities through brain-computer interfaces (BCIs). A multidisciplinary team has developed a framework capable of translating neural signals into words using electrocorticography and deep learning. This helps people with neurological impairments to communicate, offering new treatment possibilities. Challenges such as lingu...

Artificial intelligence is playing an increasingly crucial role in accelerating the development of quantum computing. AI optimizes qubit control and develops advanced algorithms. This synergy between traditional supercomputers and quantum computers opens new prospects for scientific research and sectors such as medicine and industrial optimization, enhancing speed and precision in solving complex...

China is closing the gap with the United States in AI thanks to the adoption of open-source technologies. Companies like Baidu and Kuaishou are innovating rapidly, driving global growth. However, censorship and U.S. protectionist policies create obstacles. Open source allows for swift progress, but global competition remains complex, with a growing need for international cooperation in AI developm...

A team of researchers from Stanford and New York universities tested whether language models can predict the outcomes of social experiments. Using GPT-4 on a dataset of 70 experiments and 476 treatments involving 105,165 participants, they simulated responses from American citizens. GPT-4's predictions were highly accurate, with a correlation coefficient of 0.85, often comparable to or even surpas...

In recent years, generative artificial intelligence has revolutionized businesses by supporting data analysis as well as manual and conceptual operations. Executives and entrepreneurs must progressively integrate it, starting with areas such as marketing and communication. It is essential to train personnel and effectively manage corporate data to ensure proper implementation. An agile approach en...

https://www.andreaviliotti.it/post/med-gemini-di-google-deepmind-intelligenza-artificiale-per-medici-e-pazienti

https://www.andreaviliotti.it/post/ai-index-report-2024-implicazioni-economiche-dell-ai

https://www.andreaviliotti.it/post/the-ai-scientist-l-automazione-totale-della-ricerca-scientifica-e-della-ricerca-e-sviluppo-aziendal

https://www.andreaviliotti.it/post/intel-vs-arm-based-la-nuova-era-dei-microprocessori-e-il-futuro-del-cloud-computing

A new study from MIT CSAIL suggests that large language models (LLMs) may develop an understanding of the real world, creating internal representations of how objects interact. This was demonstrated using a simple programming language called Karel, in which the LLMs were able to generate correct instructions to control a virtual robot, even though they had never directly seen the simulation. The r...

https://www.andreaviliotti.it/post/llm-e-l-evoluzione-dell-automazione-del-software-verso-una-comprensione-semantica-del-codice

AlphaGeometry is an advanced AI system designed to surpass human capabilities in mathematics, especially in geometry. By autonomously generating theorems and proofs, AlphaGeometry merges computational power with mathematical intuition, approaching human-like creativity. It tackles challenges such as data scarcity and translating complex insights into AI-compatible language, demonstrating skills co...

https://www.andreaviliotti.it/post/perch%C3%A9-i-progetti-ai-aziendali-falliscono-e-come-invertire-la-tendenza

The episode explores "prompting" techniques, which involve creating instructions for language models like ChatGPT, Gemini, and Claude, to obtain high-quality responses. Various methods are analyzed, such as "Few-Shot Prompting," "Chain-of-Thought," and "Zero-Shot Prompting," while delving into the importance of prompt structuring and experimentation to optimize results. Emerging techniques in the...

The article introduces Kolmogorov-Arnold Networks (KAN) as an innovative neural network architecture that offers an alternative to traditional Multi-Layer Perceptrons (MLP). KAN are based on the Kolmogorov-Arnold representation theorem and use learnable activation functions on the connections between nodes, rather than on the nodes themselves. This approach gives KAN greater flexibility and precis...

https://www.andreaviliotti.it/post/strategia-italiana-per-l-intelligenza-artificiale-2024-2026

Generative artificial intelligence is transforming business skills. Companies must adapt talent management by focusing on skills rather than roles. Adopting AI enhances productivity, but necessitates a rethinking of strategy and training. Human skills that complement AI, such as critical thinking, become crucial. A dynamic skills ecosystem is essential to manage cultural and technological change.

https://www.andreaviliotti.it/post/innovazione-e-sostenibilit%C3%A0-le-chiavi-del-futuro-dell-industria-europea

https://www.andreaviliotti.it/post/competeai-scopri-come-gpt-4-simula-e-prevede-le-strategie-di-mercato