Joining the conversation this time are: Sabine Hauert (University of Bristol), Sarit Kraus (Bar-Ilan University), Michael Littman (Brown University), and Carles Sierra (CSIC).
Deep Learning Model Trained to Identify Least Green Homes
Now a new deep-learning model trained by researchers from Cambridge University’s Department of Architecture promises to make it far easier, faster and cheaper to identify these high priority problem properties and develop strategies to improve their green credentials.
Now a new deep-learning model trained by researchers from Cambridge University’s Department of Architecture promises to make it far easier, faster and cheaper to identify these high priority problem properties and develop strategies to improve their green credentials.
Pre-Trained Language Models for Music Captioning and Query Response
Do you ever find yourself captivated by a song but struggling to put into words what makes it so special?
Do you ever find yourself captivated by a song but struggling to put into words what makes it so special?
World’s Biggest Bat Colony Gathers in Zambia Every Year: We Used Artificial Intelligence To Count Them
Everybody who visits Kasanka National Park in Zambia during “bat season” agrees that the evening emergence of African straw-coloured fruit bats from their roost site is one of the wildlife wonders of the world.
Everybody who visits Kasanka National Park in Zambia during “bat season” agrees that the evening emergence of African straw-coloured fruit bats from their roost site is one of the wildlife wonders of the world.
Which Strategies for Supporting Pollinators?
The need to support pollinator abundance is recognised and many countries have pollinator strategies, including the UK.
The need to support pollinator abundance is recognised and many countries have pollinator strategies, including the UK.
Your Right to Be Forgotten in the Age of AI
Earlier this year, ChatGPT was briefly banned in Italy due to a suspected privacy breach. To help overturn the ban, the chatbot’s parent company, OpenAI, committed to providing a way for citizens to object to the use of their personal data to train artificial intelligence (AI) models.
Earlier this year, ChatGPT was briefly banned in Italy due to a suspected privacy breach. To help overturn the ban, the chatbot’s parent company, OpenAI, committed to providing a way for citizens to object to the use of their personal data to train artificial intelligence (AI) models.
AI-Narrated Audiobooks Are Here – And They Raise Some Serious Ethical Questions
Meet Madison and Jackson, the AI narrators or “digital voices” soon to be reading some of the audiobooks on Apple Books.
Meet Madison and Jackson, the AI narrators or “digital voices” soon to be reading some of the audiobooks on Apple Books.
Prompt Engineering: Is Being an AI ‘Whisperer’ the Job of the Future or a Short-Lived Fad?
As generative AI settles into the mainstream, growing numbers of courses and certifications are promising entry into the “hot job” of prompt engineering.
As generative AI settles into the mainstream, growing numbers of courses and certifications are promising entry into the “hot job” of prompt engineering.
Bridging the Gap Between Learning and Reasoning
If you have ever chatted with an AI language model like chatGPT, you might have been impressed by its coherent and well-structured answers.
If you have ever chatted with an AI language model like chatGPT, you might have been impressed by its coherent and well-structured answers.
Studying Plant-Climate Relationships Using Machine Learning
Scientists from UNSW and Botanic Gardens of Sydney have trained AI to unlock data from millions of plant specimens kept in herbaria around the world, to study and combat the impacts of climate change on flora.
Scientists from UNSW and Botanic Gardens of Sydney have trained AI to unlock data from millions of plant specimens kept in herbaria around the world, to study and combat the impacts of climate change on flora.
How Sure Is Sure? Incorporating Human Error Into Machine Learning
Human error and uncertainty are concepts that many artificial intelligence systems fail to grasp, particularly in systems where a human provides feedback to a machine learning model.
Human error and uncertainty are concepts that many artificial intelligence systems fail to grasp, particularly in systems where a human provides feedback to a machine learning model.