Defining the public interest in new technologies | MIT News

How are waves of disruptive technologies, such as more advanced versions of artificial intelligence systems, changing the way we work, live, and play? Are there pathways that academics, practitioners, innovators, and entrepreneurs ought to be pursuing to ensure that the largest share of the benefits associated with new technologies uplift the most marginalized populations? What…

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Transforming AI Interaction: LLaVAR Outperforms in Visual and Text-Based Comprehension, Marking a New Era in Multimodal Instruction-Following Models

By combining several activities into one instruction, instruction tuning enhances generalization to new tasks. Such capacity to respond to open-ended questions has contributed to the recent chatbot explosion since ChatGPT 2. Visual encoders like CLIP-ViT have recently been added to conversation agents as part of visual instruction-tuned models, allowing for human-agent interaction based on pictures….

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Salesforce Introduces XGen-7B: A New 7B LLM Trained on up to 8K Sequence Length for 1.5T Tokens

With recent technological breakthroughs in artificial intelligence, Large Language Models, or LLMs in short, have become increasingly prevalent. Over the past few years, researchers have made rapid advancements in solving several complex language-related tasks by training these models on vast amounts of data in order to comprehend intricate language patterns, generate coherent responses, etc. One…

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MIT Unveils Revolutionary AI Tool: Enhancing Chart Interpretation and Accessibility with Adaptive, Detail-Rich Captions for Users of All Abilities

In a significant step towards enhancing accessibility and comprehension of complex charts and graphs, a team of researchers from MIT has created a groundbreaking dataset called VisText. The dataset aims to revolutionize automatic chart captioning systems by training machine-learning models to generate precise and semantically rich captions that accurately describe data trends and intricate patterns….

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Can LLMs Generate Mathematical Proofs that can be Rigorously Checked? Meet LeanDojo: An Open-Source AI Playground With Toolkits, Benchmarks, and Models for Large Language Models to Prove Formal Theorems in the Lean Proof Assistant

Artificial Intelligence and Machine Learning are the trending fields of today’s time. With the immense progress being made in AI, new innovations are transforming the way humans interact with machines. Reasoning in human intelligence is a significant part of Artificial Intelligence. A number of theorems-proving approaches have been researched, such as Automated theorem proving (ATP),…

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Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences | MIT News

MIT’s School of Engineering and global health care company Novo Nordisk has announced the launch of a multi-year program to support postdoctoral fellows conducting research at the intersection of artificial intelligence and data science with life sciences. The MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will welcome its first cohort of up to 10 postdocs…

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Envisioning the future of computing | MIT News

How will advances in computing transform human society? MIT students contemplated this impending question as part of the Envisioning the Future of Computing Prize — an essay contest in which they were challenged to imagine ways that computing technologies could improve our lives, as well as the pitfalls and dangers associated with them. Offered for…

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