Human-computer interaction (HCI) greatly enhances the communication between individuals and computers across various dimensions including social dialogue, writing assistance, and multimodal interactions. However, issues surrounding continuity and personalization during long-term interactions remain. Many existing systems require tracking user-specific details and preferences over longer periods, leading to discontinuity and insufficient personalization.
In response to these challenges,…
Neural information retrieval (IR) models' capacity to understand and extract relevant data in response to user queries has significantly improved, thanks to recent developments. This has made these models highly effective across different IR tasks. Nevertheless, for their reliable practical application, attention needs to be paid to their robustness, which means their ability to function…
Recent advancements in neural information retrieval (IR) models have increased their efficacy across various IR tasks. However, in addition to understanding and retrieving relevant information to user queries, it is crucial for these models to demonstrate resilience in real-world applications. Robustness in this context refers to the model's ability to operate consistently under unexpected conditions,…
Advancements in sensors, artificial intelligence (AI), and processing power have paved the way for new possibilities in robot navigation. Many research studies suggest bridging the natural language space of ObjNav and VLN to a multimodal space allowing robots to follow both text and image-based instructions simultaneously. This approach is called Multimodal Instruction Navigation (MIN).
MIN encapsulates…
Recent technological advancements have enhanced robot navigation to great extents, particularly with the integration of AI, sensors, and improved processing power. Several studies advocate for the transition of the natural language space of ObjNav and VLN to a multimodal space, enabling robots to simultaneously follow commands in both text and image formats. This type of…
Document retrieval involves matching consumer searches with corresponding paperwork from a wide array of resources. It is an essential tool in many industries, including the operation of search engines and information extraction systems. The success of a document retrieval system relies on its ability to manage both textual material and visual components like images, tables,…
CAMEL-AI has unveiled CAMEL, a novel communicative agent framework developed to improve scalability and enhance autonomous cooperation among language model agents. The role of language models in facilitating complex problem-solving has become increasingly apparent. However, there has been a significant reliance on human input to guide and shape conversations, which can pose a challenge to…
Whole-body pose estimation is an integral aspect in enhancing the capabilities of AI systems that center around human interaction. It plays a significant role in various applications such as human-computer interaction, avatar animation, and the film industry. Despite the progression of lightweight tools like MediaPipe that deliver good real-time performance, the accuracy still requires further…
MIT researchers have developed a computational model that helps predict mutations leading to better proteins, based on a relatively small dataset. In the current process of creating proteins with useful functions, scientists usually start with a natural protein and put it through numerous rounds of random mutation to generate an optimized version.
This process has led…
Mixbook, the number one rated photo book service in the US, has harnessed the capabilities of generative artificial intelligence (AI) in Amazon Web Services (AWS) to make personalized photo book experiences. User photos are interpreted and creatively enhanced with Mixbook Smart Captions. The service does not fully automate the creative process, but guides the users'…
Breaking linguistic barriers, increasing audience engagement, and expanding market reach can be greatly facilitated by video dubbing, or content localization, which replaces the original spoken language in a video with another language while synchronizing the audio and video. However, traditional methods of video dubbing are costly and time-consuming, with rates of roughly $20 per minute…