A study in the International Journal of Business Information Systems has looked at the impact of artificial intelligence (AI) on digital marketing. The researchers provide a pragmatic view of the future of this area of marketing and focus on what they describe as the tangible benefits offered by AI solutions.A study in the International Journal of Business Information Systems has looked at the impact of artificial intelligence (AI) on digital marketing. The researchers provide a pragmatic view of the future of this area of marketing and focus on what they describe as the tangible benefits offered by AI solutions.Business[#item_full_content]

Google Deepmind has recently announced Gemini, its new AI model to compete with OpenAI’s ChatGPT. While both models are examples of “generative AI,” which learn to find patterns of input training information to generate new data (pictures, words or other media), ChatGPT is a large language model (LLM) which focuses on producing text.Google Deepmind has recently announced Gemini, its new AI model to compete with OpenAI’s ChatGPT. While both models are examples of “generative AI,” which learn to find patterns of input training information to generate new data (pictures, words or other media), ChatGPT is a large language model (LLM) which focuses on producing text.Software[#item_full_content]

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.[#item_full_content]

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.Computer Sciences[#item_full_content]

A research team led by Prof. Sun Zhong at Peking University has reported an analog hardware solution for real-time compressed sensing recovery. It has been published as an article titled, “In-memory analog solution of compressed sensing recovery in one step” in Science Advances.A research team led by Prof. Sun Zhong at Peking University has reported an analog hardware solution for real-time compressed sensing recovery. It has been published as an article titled, “In-memory analog solution of compressed sensing recovery in one step” in Science Advances.[#item_full_content]

A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.[#item_full_content]

A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.A team of computer scientists at Google’s DeepMind project in the U.K., working with a colleague from the University of Wisconsin-Madison and another from Université de Lyon, has developed a computer program that combines a pretrained large language model (LLM) with an automated “evaluator” to produce solutions to problems in the form of computer code.Computer Sciences[#item_full_content]

In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework uses visual cues to guide exploration with potential applications that range from wildlife poaching detection to search-and-rescue missions to the identification of illegal trafficking activities.In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework uses visual cues to guide exploration with potential applications that range from wildlife poaching detection to search-and-rescue missions to the identification of illegal trafficking activities.[#item_full_content]

In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework uses visual cues to guide exploration with potential applications that range from wildlife poaching detection to search-and-rescue missions to the identification of illegal trafficking activities.In geospatial exploration, the quest for efficient identification of regions of interest has recently taken a leap forward with visual active search (VAS). This modeling framework uses visual cues to guide exploration with potential applications that range from wildlife poaching detection to search-and-rescue missions to the identification of illegal trafficking activities.Computer Sciences[#item_full_content]

Tesla has recalled 2 million US vehicles over concerns about its autopilot function. Autopilot is meant to help with maneuvers such as steering and acceleration, but still needs input from the driver. It comes just a few days after a whistle-blowing former Tesla employee cast doubt on the safety of the autopilot function.Tesla has recalled 2 million US vehicles over concerns about its autopilot function. Autopilot is meant to help with maneuvers such as steering and acceleration, but still needs input from the driver. It comes just a few days after a whistle-blowing former Tesla employee cast doubt on the safety of the autopilot function.Automotive[#item_full_content]

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