Recipe Recommendations Based on Visual Input of Available Ingredients

It is difficult to choose recipes that can be prepared using ingredients available at home. Manually identifying available ingredients and performing searches for feasible recipes is cumbersome and error prone. This disclosure describes techniques that enable users to obtain recipe recommendations by capturing available ingredients visually as images and/or videos. With user permission, the visual input is analyzed using computer vision and natural language processing techniques to identify the type and quantity of available ingredients. Matching recipes are determined using a search engine and ranked based on the user’s preferences. The user can filter the list based on various criteria as well as save, label, and/or annotate specific recipes

Emerging Technologies and Research Challenges for 5G Wireless Networks

As the take-up of Long Term Evolution (LTE)/4G cellular accelerates, there is increasing interest in technologies that will define the next generation (5G) telecommunication standard. This paper identifies several emerging technologies which will change and define the future generations of telecommunication standards. Some of these technologies are already making their way into standards such as 3GPP LTE, while others are still in development. Additionally, we will look at some of the research problems that these new technologies pose.Comment: Accepted for publication in IEEE Wireless Communications April 201

Machine Learning Based Virtual Concierge for Planning Group Activities

When a group of individuals attempt to plan a group activity such as a joint trip to a common destination, the presence of conflicting constraints makes it difficult to arrive at a plan that is agreeable to all. This disclosure describes a virtual concierge that accepts as input multiple, potentially conflicting constraints from multiple individuals planning collective travel (or other group activity) and outputs optimized recommendations tailored for the individuals in the group. The virtual concierge application can leverage large language models (LLM) for language understanding and for natural user interactions. The virtual concierge can generate prompts for an LLM that has been efficiently tuned using techniques such as adapter layers, few-shot prompt tuning, etc. Machine learning (ML) can be used to generate a set of recommendations based on the preferences of different individuals in the group

A Study Of Travel Agency Collaboration And Co-Creation In The Tourism Industry

This study explores the dynamics of collaboration between travel agencies and their suppliers in co-creating value with their customers. It examines the relationship among six collaboration elements (co-creation dynamics), service innovation, competitive advantage, technology adoption and environmental change, and the moderating effect of trust on the co-creation elements and service innovation. The effects of technology adoption and environmental changes on the six elements were also examined. Results indicate that all the above effects are significant, and trust enhances the effect of the elements on innovation for Taiwan travel agencies. However, technology adoption and trust differed for the Malaysian travel agencies

A Quantum Scattering Interferometer

The collision of two ultra-cold atoms results in a quantum-mechanical superposition of two outcomes: each atom continues without scattering and each atom scatters as a spherically outgoing wave with an s-wave phase shift. The magnitude of the s-wave phase shift depends very sensitively on the interaction between the atoms. Quantum scattering and the underlying phase shifts are vitally important in many areas of contemporary atomic physics, including Bose-Einstein condensates, degenerate Fermi gases, frequency shifts in atomic clocks, and magnetically-tuned Feshbach resonances. Precise measurements of quantum scattering phase shifts have not been possible until now because, in scattering experiments, the number of scattered atoms depends on the s-wave phase shifts as well as the atomic density, which cannot be measured precisely. Here we demonstrate a fundamentally new type of scattering experiment that interferometrically detects the quantum scattering phase shifts of individual atoms. By performing an atomic clock measurement using only the scattered part of each atom, we directly and precisely measure the difference of the s-wave phase shifts for the two clock states in a density independent manner. Our method will give the most direct and precise measurements of ultracold atom-atom interactions and will place stringent limits on the time variations of fundamental constants.Comment: Corrected formatting and typo