Aishe News

Did you know that Europe is about to become the new Silicon Valley, but without so much traffic and with more paellas? It turns out that the European Union, in its infinite wisdom (and desire not to be left behind in the technological race), has decided to invest a fortune in creating things called "AI factories." Spain promotes one of the first proposals to create AI factories funded by the EU Imagine a factory, but instead of producing cars or shoes, it produces artificial intelligence! And what is that? Well, it's like having a giant brain in a computer, capable of learning and doing incredible things, like writing poems, composing music or even diagnosing diseases. Why so much excitement about thinking robots? Because artificial intelligence is the new electricity. Everyone wants a piece of it, and Europe doesn't want to be left behind. So they've decided to pit a bunch of countries against each other to see who can build the best AI factories. Spain, alwa...

Shifting Away from the Traditional Interpretation Traditionally, the term "Intelligence Industry" has been closely associated with intelligence agencies and secret services that gather, analyze, and utilize information to gain political or military advantages. This interpretation is focused on secrecy and power. The New Perspective: Knowledge as the Core The new perspective of the "Knowledge Industry" places the term "intelligence" in a broader context. Here, it's not primarily about secrets but about knowledge, information, and understanding . The "Knowledge Industry" encompasses all areas where knowledge is created, managed, disseminated, and used. This spectrum ranges from basic research to the development of new technologies, as well as the application of knowledge in business and society. Focus on Knowledge, Information, and Understanding Knowledge creation: This involves generating new knowledge through research, development, and...

You are faced with a huge puzzle. Each piece represents a capability of an AI model. How would you find out which model is best? Which puzzle is the most complete? This question is troubling researchers and developers in the field of artificial intelligence - and EUREKA finally provides answers.   EUREKA: A revolution in the evaluation of AI models   The problem with supermodels Large language models such as GPT-4 or DALL-E impress us every day with their capabilities. But how good are they really? Previous evaluation methods often resemble a beauty contest: a winner is chosen, but the finer details remain in the dark.     EUREKA: The X-ray vision for AI This is where EUREKA comes in. This new open source framework revolutionizes the way we evaluate AI models:   In-depth analysis  : Instead of superficial rankings, EUREKA provides detailed insights into the strengths and weaknesses of each model. Challenging benchmarks  : EUREKA-B...

Artificial intelligence models are typically used online, but a variety of freely available tools are changing that. local AIs are trending. AI - Why local models are the future The website histo.fyi is a database of structures of immune system proteins called major histocompatibility complex (MHC) molecules. It contains images, data tables, and amino acid sequences, which uses artificial intelligence (AI) tools called large language models (LLMs) to transform these assets into readable summaries. But he doesn't use ChatGPT or any other web-based LLM. Instead, he runs the AI on his laptop.   In recent years, chatbots based on LLMs have been praised for their ability to write poetry or hold conversations. Some LLMs have hundreds of billions of parameters—the more parameters, the more complex—and are only accessible online. But two recent trends have emerged. First, organizations are creating “open weights” versions of LLMs, where the weights and biases used to train ...

There's a party atmosphere in the hallowed halls of science. The International Conference on Machine Learning (ICML) in Vienna is not just a meeting place for researchers, but a veritable vanity fair for the tech industry.  Where 30 pioneers once discussed the future of artificial intelligence, there are now almost 10,000 participants.  What happened? The ICML is like a fairground for the recruitment of Google, Meta and Microsoft.   From niche to mainstream Thomas G. Dietterich, a veteran of the scene, sums it up: "For a long time, nobody paid any attention to us, but now everything is suddenly revolving around us." The turning point came in 2012, when a breakthrough in image recognition opened the door to a new era of AI. Since then, huge sums of money have been pouring into research, and the tech giants are vying for the brightest minds.     The big advertising The ICML is like a recruitment fair. Google, Meta and Microsoft host exclusive par...

Romania is taking a groundbreaking step in the realm of artificial intelligence (AI) by forming a consultative scientific and ethical council, as announced by the Ministry of Research, Innovation, and Digitization (MCID), as reported by Romania Insider. Romania Establishes Pioneering Ethical Council to Navigate Artificial Intelligence This newly established council aims to bring together expert specialists who can provide their invaluable insights for the betterment of society and the advancement of the AI landscape in Romania. Foremost among the council's objectives is to ensure the responsible control and safeguarding of artificial intelligence, preventing any negative repercussions that might arise before it can truly benefit humanity. Comprised of esteemed Romanian researchers, innovative professionals from leading companies, and experts in the field of ethical considerations, the council possesses extensive experience in the research and development of AI technologies. The swi...

Artificial intelligence (AI) is changing the way we approach many different aspects of our lives, including how we trade in financial markets. One example of this is the Autonomous Intelligent System for Human Enhancement (AISHE), an advanced AI-based trading system that uses machine learning to make informed trading decisions. So, how does AISHE work? At its core, AISHE uses deep learning and reinforcement learning algorithms to analyze vast amounts of data from financial markets in order to identify patterns and make trading decisions. The system is constantly learning from its experiences and adjusting its strategies over time to improve its performance. How artificial intelligence can be used in trading To use AISHE, Users need to ensure that their computer system meets the necessary system requirements, including an Intel i5 or i7 processor, 8GB of RAM, and 0.5 GB of free hard disk space. Once these requirements are met, the trader can download and install AISHE and familiarize th...

Stanford University’s AI Index Report 2023: The Current State of AI Research Stanford University’s AI Index Report 2023: The Current State of AI Research Artificial intelligence (AI) used to be an exciting field of research, but now it has become primarily a money-making field for those who already have a lot of it. This is one of the key takeaways from Stanford University's AI Index Report 2023, which was recently published. The report provides a comprehensive overview of the state of AI research and its impact on society. One of the key findings of the report is that up until 2014, most of the major machine learning models were developed by public research institutions. However, the tech industry has now taken over the field, with 32 out of 35 major machine learning models released last year being developed by companies. This has led to a renewed concentration of power among tech companies, which have the resources required to develop state-of-the-art AI systems, such as supercom...