The International Conference on Machine Learning (ICML) stands as one of the premier gatherings, bringing together the brightest minds from academia, industry, and research institutions. The 2024 edition is set to start in a few days in Vienna and as always our team is gearing up to attend with 7 accepted papers and 2 spotlight… Read more »
InstaDeep maintains its strong commitment to open research with six papers accepted for presentation at the 2024 ICLR conference being held in Vienna this week. The accepted papers cover a diverse range of subjects including Decision-making AI and Machine Learning for biology. Detailed summaries of each paper and their respective presentation slots are provided below…. Read more »
The human genome, containing the entirety of our genetic blueprint, holds the keys to understand the intricate workings of our cells and bodies. How our cells respond to signals, build proteins, and fight off diseases, is determined by instructions encoded within our DNA. While scientists have made tremendous progress in deciphering this code, especially since… Read more »
Two InstaDeep Tunis-based AI researchers will present at NeurIPS 2023 NAML: North African Machine Learning workshop on multi-script handwriting recognition and what happens Multi agent Reinforcement Learning is built on economic theories. The pair’s different research interests illustrate the breadth of AI research happening in North Africa. Oussama Mahfoudhi looks at the logic of language… Read more »
“It became essential for me to enter AI, not just as a career choice, but as a commitment to contribute to making the field more gender-balanced. I believe that a diverse and inclusive AI community fosters innovation and ensures a broader spectrum of perspectives in addressing global challenges.”
This year’s submissions reflect the depth and breadth of InstaDeep’s research efforts, ranging from groundbreaking developments in Decision-Making AI to breakthroughs in Machine Learning for Biology.
Instadeep used reinforcement learning on Cloud TPUs to improve DeepPCB, its AI-driven Printed Circuit Board (PCB) design product. Authors: Armand Picard, Software Engineer Donal Byrne, Senior Research Engineer Alexandre Laterre, Research Lead Vaibhav Singh, Product Manager, Google Cloud TPU The long-term goal of Artificial Intelligence (AI) is to solve complex real-life problems. On the path… Read more »
InstaDeep Research is pleased to announce the open-sourcing of its Nucleotide Transformer on the HuggingFace platform. The Nucleotide Transformer project introduces a collection of four DNA large language models, with parameter counts ranging between 500M and 2.5B, which were developed in collaboration with NVIDIA and the Technical University of Munich. As part of this work,… Read more »
InstaDeep’s research team is off to a great start in 2023 with a new record of four confirmed papers: two papers on the main track, including a spotlight; and two workshop papers, including an oral presentation. ICLR, the globally respected International Conference on Learning Representations, is being held at the Kigali Convention Centre in Rwanda… Read more »
InstaDeep is pleased to announce a new collaboration with the Technical University of Munich and NVIDIA, using the UK-based Cambridge-1 supercomputer to train large language models (LLMs) on diverse genomic datasets to examine the impact of model scale and data diversity on downstream task performance. As part of the work, multiple foundation models for genomics… Read more »
