{"id":93059,"date":"2024-12-27T22:01:30","date_gmt":"2024-12-27T21:01:30","guid":{"rendered":"https:\/\/intercoaching.fr\/?p=93059"},"modified":"2024-12-27T22:01:31","modified_gmt":"2024-12-27T21:01:31","slug":"artificial-intelligence-the-essentials-to-remember-for-the-year-2024","status":"publish","type":"post","link":"https:\/\/intercoaching.fr\/en\/artificial-intelligence-the-essentials-to-remember-for-the-year-2024\/","title":{"rendered":"Artificial Intelligence: The Essentials to Remember for the Year 2024"},"content":{"rendered":"

In 2024, artificial intelligence plays a crucial role, marking significant advances and raising essential questions. With the launch of new models like OpenAI\u2019s \u00ab\u00a0o3\u00a0\u00bb, capable of thinking about their own decision-making process, we are getting closer to a potential general artificial intelligence<\/strong>. Advances in various fields, such as biochemistry through DeepMind\u2019s AlphaFold, highlight the immense potential of AI. However, this technological race comes with concerns related to misinformation, intellectual property and economic impacts, requiring increased attention to navigate this ever-changing landscape.<\/p>\n\n\n\n

In 2024, Artificial Intelligence (AI) continues to revolutionize many sectors with impressive advances, but also sparks important debates regarding ethics and security. This article explores the key developments, challenges and opportunities that marked this year.<\/p>\n\n\n

Accelerated Drug and Materials Design<\/h2>\n\n\n

The year 2024 saw significant advances in the field of biochemistry thanks to AI. AlphaFold software, developed by DeepMind, has significantly accelerated the prediction of the three-dimensional structure of proteins, which promises to accelerate the discovery of new drugs<\/strong> and unpublished materials. This advance was published in May in the journal Nature<\/em>, highlighting the impact of AI on scientific development.<\/p>\n\n\n

Prediction of Natural Disasters<\/h2>\n\n\n

AI systems have transformed the way we predict natural disasters. Models such as Google\u2019s Flood Hub are deployed in 80 countries, analyzing real-time climate data to predict flood risks<\/strong>. However, the lack of data, as observed in Mayotte, may limit the effectiveness of these predictions.<\/p>\n\n\n

Creation of Realistic Videos<\/h2>\n\n\n

A new generation of software, such as Runway AI and Stability AI, makes it possible to create realistic videos<\/strong> in record time. These technologies could redefine film and advertising production by making possible the visual reconstruction of little-known historical episodes, as shown by a project to recreate a historic battle by director Dave Clark.<\/p>\n\n\n

Agriculture Optimized by AI<\/h2>\n\n\n

The integration of AI in agriculture is increasing, with AI-equipped drones monitoring agricultural crops<\/strong> to optimize their growth and anticipate diseases. The Lidar HD program, driven by IGN, offers advanced 3D mapping of the territory, generating valuable data for farmers.<\/p>\n\n\n

Artificial Intelligence and Autonomous Thinking<\/h2>\n\n\n

OpenAI has introduced a new AI model called \u201co3\u201d, which stands out for its ability to \u201c think against himself<\/strong> \u00ab\u00a0. This model offers different levels of reflection, allowing a more nuanced and precise approach, although still in the refinement phase to achieve the AGI standards.<\/p>\n\n\n

Threats and Challenges of the Year<\/h2>\n\n\n

Despite its advances, AI in 2024 also posed significant risks. Failure to respect the intellectual property<\/strong>, facilitated by generative AI models, has become a major concern. Additionally, the spread of disinformation via sophisticated deepfakes has been exacerbated, threatening the integrity of information relayed around the world.<\/p>\n\n\n

Automation and Its Consequences on Employment<\/h2>\n\n\n

AI-powered automation raises concerns about job loss. Professions such as taxi drivers and employees in the dubbing sector are particularly vulnerable, while the French Society of Translators warns of the impact of generative AI on the translation professions.<\/p>\n\n\n

AI Monitoring and Data Manipulation<\/h2>\n\n\n

The use of AI for surveillance<\/strong> remains a challenge, particularly in authoritarian regimes. China, for example, continues to refine its AI-based technologies to monitor and predict citizens\u2019 behaviors, raising global ethical questions.<\/p>\n\n\n

AI in the Hands of Big Companies<\/h2>\n\n\n

The year 2024 illustrated the concentration of power among big tech companies, posing challenges for new players. Indeed, the computing power needed for AI innovation could limit access for smaller companies and diversify the landscape of technology development.<\/p>\n\n\n\n

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