The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT, for instance, and GPT-4 is now here.The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT, for instance, and GPT-4 is now here.Computer Sciences[#item_full_content]

In recent years, artificial intelligence (AI) has made tremendous strides thanks to advances in machine learning and growing pools of data to learn from. Large language models (LLMs) and their derivatives, such as OpenAI’s ChatGPT and Google’s BERT, can now generate material that is increasingly similar to content created by humans. As a result, LLMs have become popular tools for creating high-quality, relevant and coherent text for a range of purposes, from composing social media posts to drafting academic papers.In recent years, artificial intelligence (AI) has made tremendous strides thanks to advances in machine learning and growing pools of data to learn from. Large language models (LLMs) and their derivatives, such as OpenAI’s ChatGPT and Google’s BERT, can now generate material that is increasingly similar to content created by humans. As a result, LLMs have become popular tools for creating high-quality, relevant and coherent text for a range of purposes, from composing social media posts to drafting academic papers.Machine learning & AI[#item_full_content]

Imagine if the Police’s “Every Little Thing She Does Is Magic” opened Michael Jackson’s “Beat It,” then Cardi B’s “Bodak Yellow” riff blended with Jackson. This mix isn’t an impossible fantasy, but a reality with Mixboard, a tablet application that lets users without musical or editing experience create the songs of their dreams.Imagine if the Police’s “Every Little Thing She Does Is Magic” opened Michael Jackson’s “Beat It,” then Cardi B’s “Bodak Yellow” riff blended with Jackson. This mix isn’t an impossible fantasy, but a reality with Mixboard, a tablet application that lets users without musical or editing experience create the songs of their dreams.Consumer & Gadgets[#item_full_content]

When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human users need to know when to trust the model’s predictions.When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human users need to know when to trust the model’s predictions.Computer Sciences[#item_full_content]

Artificial intelligence (AI) is being used increasingly in many different walks of life from the large language models and image-generation tools that can produce readable text and intriguing graphics based on a prompt to the algorithms that analyze input and predict a feasible output for modeling climate and weather systems, road traffic, and even human behavior.Artificial intelligence (AI) is being used increasingly in many different walks of life from the large language models and image-generation tools that can produce readable text and intriguing graphics based on a prompt to the algorithms that analyze input and predict a feasible output for modeling climate and weather systems, road traffic, and even human behavior.Machine learning & AI[#item_full_content]

The accuracy and reliability of ocean communications and transmissions are affected by many sources of offshore distortion and background noise. Decreasing this interference in ocean transmissions is dependent on the process of channel estimation, or the assessment of background channel characteristics that may distort or interfere with the received signal. Recent modeling has enhanced channel estimation performance using deep neural networks and improved the denoising of ocean transmissions.The accuracy and reliability of ocean communications and transmissions are affected by many sources of offshore distortion and background noise. Decreasing this interference in ocean transmissions is dependent on the process of channel estimation, or the assessment of background channel characteristics that may distort or interfere with the received signal. Recent modeling has enhanced channel estimation performance using deep neural networks and improved the denoising of ocean transmissions.Machine learning & AI[#item_full_content]

Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great tennis player, there are times when trying to exactly mimic the teacher won’t help the student learn. Perhaps the teacher leaps high into the air to deftly return a volley. The student, unable to copy that, might instead try a few other moves on her own until she has mastered the skills she needs to return volleys.Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great tennis player, there are times when trying to exactly mimic the teacher won’t help the student learn. Perhaps the teacher leaps high into the air to deftly return a volley. The student, unable to copy that, might instead try a few other moves on her own until she has mastered the skills she needs to return volleys.Computer Sciences[#item_full_content]