This paper was accepted at Generative AI and Biology workshop at NeurIPS 2023. In this paper we tackle the problem of generating a molecule conformation in 3D space given its 2D structure. We approach this problem through the lens of a diffusion model for functions in Riemannian Manifolds. Our approach is simple and scalable, and …
Read more “Generating Molecular Conformers with Manifold Diffusion Fields”
Streamlining Data Connectivity for Next-Gen AI Architectures At our most recent AIPCon, we announced the general availability of AIP Virtual Tables — a connectivity solution that makes it seamless to get started with AIP’s full spectrum capabilities, without requiring any data replication or duplication. Simply connect your existing data investments and go. This blog post discusses why this …
By implementing Oracle, one of the world’s leading enterprise resource planning (ERP) tools, organizations can transform their business processes and significantly increase operational efficiency. Companies large and small are increasingly digitizing and managing vast troves of data. ERP systems like Oracle’s streamline business processes and reduce costs, leveraging information to help organizations make better decisions …
Posted by Robin Kothari and Rolando Somma, Research Scientists, Google Research, Quantum AI Team Quantum computers promise to solve some problems exponentially faster than classical computers, but there are only a handful of examples with such a dramatic speedup, such as Shor’s factoring algorithm and quantum simulation. Of those few examples, the majority of them …
Read more “A new quantum algorithm for classical mechanics with an exponential speedup”
This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir. Established in 2015, Getir has positioned itself as the trailblazer in the sphere of ultrafast grocery delivery. This innovative tech company has revolutionized the last-mile delivery segment with its compelling offering of “groceries in minutes.” With a …
Read more “How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch”
Camanchaca, a Chilean seafood exporter with a rich 58-year heritage, is renowned for its commitment to sustainable sourcing and exporting of salmon, jack mackerel, and shellfish. With a workforce of 3,800 employees, Camanchaca continuously cultivates a culture of innovation that touches every aspect of its business. This forward-thinking philosophy led to the recognition of the …
Read more “Camanchaca innovates its employee experience with real-time generative agents”
The holiday season is upon us and 2024 is just around the corner. Generative AI has been a hot topic of conversation this year, so throughout December join us for 12 days of no-cost generative AI training to build your skills and knowledge. Give yourself the gift of learning. Check out our featured gen AI …
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Amazon Web Services and NVIDIA will bring the latest generative AI technologies to enterprises worldwide. Combining AI and cloud computing, NVIDIA founder and CEO Jensen Huang joined AWS CEO Adam Selipsky Tuesday on stage at AWS re:Invent 2023 at the Venetian Expo Center in Las Vegas. Selipsky said he was “thrilled” to announce the expansion …
Posted by Eliya Nachmani, Research Scientist, and Michelle Tadmor Ramanovich, Software Engineer, Google Research Speech-to-speech translation (S2ST) is a type of machine translation that converts spoken language from one language to another. This technology has the potential to break down language barriers and facilitate communication between people from different cultures and backgrounds. Previously, we introduced …
Read more “Unsupervised speech-to-speech translation from monolingual data”
Large Language Models (LLMs) with billions of parameters have drastically transformed AI applications. However, their demanding computation during inference has raised significant challenges for deployment on resource-constrained devices. Despite recent trends favoring alternative activation functions such as GELU or SiLU, known for increased computation, this study strongly advocates for reinstating ReLU activation in LLMs. We …
Read more “ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models”