Large Language Models (LLMs) have proven to be game-changers in the field of Artificial Intelligence (AI), thanks to their vast exposure to information and versatile application scope. However, despite their many capabilities, LLMs still face hurdles, especially in mathematical reasoning, a critical aspect of AI’s cognitive skills. To address this problem, extensive research is being…
Large Language Models (LLMs) have transformed the landscape of Artificial Intelligence. However, their true potential, especially in mathematic reasoning, remains untapped and underexplored. A group of researchers from the University of Hong Kong and Microsoft have proposed an innovative approach named 'CoT-Influx' to bridge this gap. This approach is aimed at enhancing the mathematical reasoning…
Companies like FedEx find the task of efficiently routing holiday packages massively complex, often requiring the use of specialized software to find a solution. This software, called a mixed-integer linear programming (MILP) solver, is used to break down large optimization problems into smaller bits and find the best solution using algorithms. However, this process can…
Eric Evans, the director of MIT Lincoln Laboratory, will be stepping down from his position on July 1, 2024, after an 18-year tenure. Following this, he will be assuming the role of fellow in the director's office at Lincoln Laboratory, as well as hold an appointment as a senior fellow in the Security Studies Program…
Large Language Models (LLMs) have become pivotal in natural language processing (NLP), excelling in tasks such as text generation, translation, sentiment analysis, and question-answering. The ability to fine-tune these models for various applications is key, allowing practitioners to use the pre-trained knowledge of the LLM while needing fewer labeled data and computational resources than starting…
Large language models (LLMs) such as ChatGPT, Google’s Bert, Gemini, Claude Models, power our engagement with digital platforms, behaving like human responses and generating innovative content, participating in complex discussions, and solving intricate issues. The effective operations and training processes of these models bring about a synthesis between human and automated interaction, further advancing the…
Researchers from the Max Planck Institute for Intelligent Systems, Adobe, and the University of California have introduced a diffusion image-to-video (I2V) framework for what they call training-free bounded generation. The approach aims to create detailed video simulations based on start and end frames without assuming any specific motion direction, a process known as bounded generation,…
Numerous companies like FedEx grapple with the sophisticated problem of optimising the routing of holiday packages. Specialised software known as a mixed-integer linear programming (MILP) solver is often used to split this massive optimisation issue into smaller pieces, allowing generic algorithms to locate the most suitable solution. This time-consuming process sometimes forces companies to settle…
Researchers from MIT have developed a machine learning approach that could replace the intuition-based methods typically used in the creation of catalysts. The team, led by graduate student Xiaochen Du, devised a system that offers more detailed insights than conventional techniques, identifying previously undiscovered atomic configurations in a material that had been researched for three…
NVIDIA and Hippocratic AI, a healthcare technology start-up, are collaborating to develop artificial intelligence (AI)-powered "healthcare agents" that can provide basic patient care such as medical advice and scheduling appointments through video calls and over the phone. The AI agents, claimed to perform better than human nurses in many respects, cost US$9 per hour to…