Once again, this has been an exciting month in AI research. This month, I’m covering two new openly available LLMs, insights into small finetuned LLMs, and a new parameter-efficient LLM finetuning technique. The two LLMs mentioned above stand out for…
Method overview The flowchart of the ResGCN-A is shown in Fig. 1, which can be divided into five steps. The first step is to construct the similarity feature matrices, which include the lncRNA similarity feature matrix and the disease similarity…
Bring this project to life In 1996, NVIDIA entered the 3D accelerator market initially behind the competition. However, through constant learning and improvement, they achieved major success in 1999 with the introduction of the GeForce 256, recognized as the first…
TLDR; Design biases in NLP systems, such as performance differences for different populations, often stem from their creator’s positionality, i.e., views and lived experiences shaped by identity and background. Despite the prevalence and risks of design biases, they are hard…
Tamara Broderick first set foot on MIT’s campus when she was a high school student, as a participant in the inaugural Women’s Technology Program. The monthlong summer academic experience gives young women a hands-on introduction to engineering and computer science.…
Our ability to cram ever-smaller transistors onto a chip has enabled today’s age of ubiquitous computing. But that approach is finally running into limits, with some experts declaring an end to Moore’s Law and a related principle, known as Dennard’s…
Molecular geometry modeling is a powerful tool for understanding the intricate relationships between molecular structure and biological activity – a field known as structure-activity relationships (SAR). The main premise of SAR is that the biological activity of a molecule is…
LEV TANKELEVITCH: Thanks for having me. HUIZINGA: So in just a couple sentences—a metacognitive elevator pitch, if you will—tell us about the issue or problem your paper addresses and, more importantly, why we should care about it. TANKELEVITCH: Sure. So…
The pace of foundation model releases and progress has continued to grow rapidly over the past few years, with many new models released from organizations of all kinds worldwide. In addition to releasing models themselves, it’s also important to make…
Introduction Instruction tuning is a method for enhancing language models’ functionality in NLP applications. Instead of training it to tackle a single task, the language model is fine-tuned on a set of tasks defined by instructions. The purpose of instruction…
Peddie, C. J. & Collinson, L. M. Exploring the third dimension: volume electron microscopy comes of age. Micron 61, 9–19 (2014). PubMed Google Scholar Peddie, C. J. et al. Volume electron microscopy. Nat. Rev. Methods Prim. 2, 51 (2022). CAS …
This research paper was presented at the 38th Annual AAAI Conference on Artificial Intelligence (opens in new tab) (AAAI-24), the premier forum for advancing understanding of intelligence and its implementation in machines. We’re seeing remarkable abilities from visual language models…