This article provides a comprehensive overview of key AI concepts, including algorithms, machine learning, deep learning, and large language models, in preparation for the upcoming global AI summit in Paris.
With global leaders set to attend a summit on artificial intelligence (AI) in Paris on February 10-11, here are some of the key concepts in the field: Asked what artificial intelligence is, the AI-powered ChatGPT system responds that the term 'refers to the simulation of human intelligence in machines that are programmed to think, learn and make decisions'. AI's fundamental characteristic is ingesting vast quantities of data that are then processed using methods from statistical mechanics.
Its capabilities can range across fields including computing, math, linguistics, psychology, neuroscience or philosophy. At present, the technology is used in applications ranging from investigating tumors to facial recognition, chatbots, translation of human languages, forecasting breakdowns in machine tools and self-driving cars. \At the heart of all computer operations, an algorithm is a series of steps or instructions followed by a computer program to achieve a given result. Algorithms can specify rules for an AI's behavior, helping it to achieve its developers' objectives. \Machine learning is one approach that researchers have used in their quest to produce artificial intelligence. In recent years, the field of neural networks—inspired by the functioning of the human brain—has proven particularly fruitful. In a neural network, connections between some nodes are strengthened and others weakened as the system learns. Learning can be “supervised”, in which the system learns to classify new data based on a model—for instance, to identify spam in an email or other messaging applications. “Unsupervised” learning allows the system to independently discover patterns or categories in the available data that might not have been immediately apparent. “Reinforcement” learning adds a process of repeated trial-and-error in which the system is penalized or rewarded based on its outcomes, allowing it to learn and improve. One example might be a self-driving vehicle whose objective is to reach its destination as fast as possible — but in safety. \ A sub-field of AI, deep learning owes its name to its use of multiple layers of neural networks. Deep learning was conceived by 2024 physics Nobel winner Geoffrey Hinton, who was awarded the prize alongside 1980s neural-network pioneer John Hopfield. “The more layers you have, the more complex behavior can become, and the more complex the behavior can be, the easier it is to learn a desired behavior efficiently,” said Francis Bach, head of France’s SIERRA statistical learning laboratory. Discoveries about deep learning have since the 2010s allowed for a leap forward in computers’ processing power and an abundance of data to train AI models. Also in 2024, the chemistry Nobel was awarded to researchers using deep learning to create and predict protein structures. \ Large language models are the most visible example of so-called generative AI, powering tools like OpenAI’s ChatGPT or Google’s Gemini. Such systems are capable of writing a dissertation, answering legal questions or producing a cake recipe based on their statistical models. Chatbots or conversational assistants can also be found in many everyday applications, such as answering queries from visitors to a company’s website. On major streaming platforms, recommendation engines will suggest content like films or music to users based on how their tastes overlap with other subscribers. Elsewhere in daily life, AI helps power navigation software or tools to help with spelling, grammar and style in text. \Artificial general intelligence (AGI) is the holy grail of the whole AI field, denoting an as-yet unrealised dream of a machine capable of reproducing all human cognitive abilities. Its promoters, including OpenAI chief Sam Altman and his rivals at Anthropic, see such a system as within reach — using oceans of data and gargantuan processing power to train ever more powerful LLMs. “LLMs do not work like human beings”, as flesh-and-blood intelligences are “sense-making machines” with fundamentally different abilities to today’s computer systems, Maxime Amblard, computing professor at France’s University of Lorraine, told AFP last year
Artificial Intelligence AI Algorithms Machine Learning Deep Learning Large Language Models Global Summit Paris
Malaysia Latest News, Malaysia Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Need to enhance public understanding of MyDigital ID benefitsThe latest status of MyDigital ID implementation will be discussed during the National Council for Digital Economy and Fourth Industrial Revolution Co...
Read more »
Pongal Celebrations at Penang Catholic Church to Foster Cultural Understanding and UnityThe Church of the Nativity of the Blessed Virgin Mary in Penang will host Pongal celebrations tomorrow, January 19th, marking the first time the church has organized this traditional Tamil festival. The event aims to promote cultural understanding, unity, and appreciation for agriculture. Pongal, a four-day festival, expresses gratitude for a bountiful harvest and involves various rituals, including spring cleaning, offering prayers to cows, and unmarried women praying for a happy marriage. Cultural performances, including singing and dancing, will follow the main ceremony.
Read more »
Understanding MA63: A call to action for Sabahans, says NGOA Malaysian couple travels far and wide to check off a bucket list destination in Canada.
Read more »
PTD President Rejects Khairy's Claim of Lack of Practical Understanding in HealthcareDatuk Awang Alik, president of the Administrative and Diplomatic Officers Alumni Association (PPTD), refutes former Health Minister Khairy Jamaluddin's allegation that civil servants lack practical understanding of hospital operations, emphasizing data-driven policy making and collaboration with health professionals.
Read more »
Anwar Ibrahim Highlights Cultural Understanding in Malaysia-China RelationsPrime Minister of Malaysia, Datuk Seri Anwar Ibrahim, emphasized the importance of cultural understanding and respect in the relationship between Malaysia and China, stating that it transcends economic cooperation. He highlighted the shared values and traditions celebrated during the Lunar New Year, emphasizing Malaysia's commitment to inclusivity and harmony.
Read more »
Mum Pleads For Understanding After Son Confesses To Setting 8 Homes On Fire In KedahThe 23-year-old man confessed to starting the fires as an act of revenge for being bullied.
Read more »