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Machine learning

The second batch of startup funds has been given to MIT researchers who are investigating the implications and uses of generative AI.

After a successful call for proposals on AI studies in the summer, MIT issued a second call for papers that resulted in 53 submissions. Subsequently, 16 of these were selected to receive exploratory funding. The selected proposals offer insights and perspectives on the potential impact of AI across various domains. The MIT President, Sally Kornbluth, and…

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Boost efficiency in handling scanned PDFs utilizing Amazon Q Business.

Amazon's new product, Amazon Q Business, is a robust, artificially intelligent assistant capable of analyzing various types of documents such as receipts, health plans, tax statements, and more from industries like finance, insurance, healthcare, and life sciences. Unlike other software, Amazon Q Business eliminates the need to extract text from scanned PDF documents before it…

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Comprehending the Constraints of Big Language Models (BLMs): Fresh Standards and Measures for Categorization Duties

Large Language Models (LLMs) have demonstrated impressive performances in numerous tasks, particularly classification tasks, in recent years. They exhibit a high degree of accuracy when provided with the correct answers or "gold labels". However, if the right answer is deliberately left out, these models tend to select an option from the available choices, even when…

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The second wave of seed funding has been given to MIT researchers examining the effects and uses of generative AI.

In light of the increased interest in the development of generative Artificial Intelligence (AI), MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers. They sought submissions that could provide effective roadmaps, policy recommendations, and action plans across the broad field of generative AI. The first call for papers received an enthusiastic…

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MIT researchers focused on generative AI impacts and uses have received their second installment of seed grant funding.

In response to a call for proposals issued by MIT President Sally Kornbluth and Provost Cynthia Barnhart that aimed at outlining efficient strategies, policies, and actions in the field of generative AI, the university received 75 submissions last summer. 27 of those submissions were selected for seed funding due to their exceptional potency. After such…

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The second set of seed grants has been given to MIT researchers examining the effects and uses of generative artificial intelligence.

In response to a call for papers by MIT President and Provost regarding generative AI, a massive interest resulted in the submission of 75 proposals. A second call for papers in the Fall resulted in an additional 53 submissions, leading to a total of 43 selected proposals receiving seed and exploratory funding. MIT President Sally…

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Pruner-Zero: An AI-based Infrastructure for Identifying Symbolic Pruning Metrics in Expansive Language Models

The world of computer vision and graphics is constantly seeking the perfection of 3D reconstruction from 2D image inputs. Neural Radiance Fields (NeRFs), while effective at rendering photorealistic views from new perspectives, fall short in reconstructing 3D scenes from 2D projections, an important feature for augmented reality (AR), virtual reality (VR) and robotic perception. Traditional…

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MIT researchers examining the implications and uses of generative AI have been granted a second wave of seed funding.

In response to a call for research proposals on generative AI issued last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart received an overwhelming response from the MIT research community. The initiative resulted in the submission of 75 proposals, with 27 receiving seed funding. Gaining significant insight from the quality of ideas received, they issued…

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MIT researchers studying the implications and uses of generative AI receive a second round of funding through seed grants.

Last year, MIT President Sally Kornbluth and Provost Cynthia Barnhart launched an initiative to compile and publish proposals on the subject of generative artificial intelligence (AI). They requested submissions of papers detailing effective roadmaps, policy recommendations, and calls for action to further develop and understand the field. The appeal for the first round of papers generated…

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