Autoomous Vehicles (AVS) such as Zoox-Special-built Robotaxi take a new era in human mobility, but the implementation of AVS comes with many challenges. It is important to perform extensive safety test simulation, which requires the creation of synthetic driving scenarios on scale. Particularly important is to generate realistic safety -critical road scenarios, to test how … Read more
Large machine learning models based on the transformer architecture have recently demonstrated extraordinary results about the range of vision and language tasks. But so large models are often too slow for real -time use, so practical systems are often dependent on knowledgeillation to distill large models’ knowledge to slimmer, faster models. The defining characteristic of … Read more
One of the most exciting challenges in computer vision is to understand dynamic scenes through snapshots of a single moving camera. Imagine trying to digitally Remplacer a 3D scene with a lively street scene or the subtle movements of a full flow dancer, all from a video or a series of snapshots taken from different … Read more
As climate change intensive, our ability to predict and respond to cascading and compound disasters increasingly critical. Floods, droughts, fires and extreme storms are no longer isolated events; They interact with ways that defy traditional prediction systems. One way to tackle this challenge is to exploit artificial intelligence (AI) to create integrated, impact -focused early … Read more
Amazon delivers billions of each year packages, and for these Deliverries we love to use the little extra packaging as possible while still coming to products that arrive safely. When additional packaging is needed, the majority of the packaging material we use is made of paper. This included boxes, paper records and in some boxes, … Read more
The risk that a quantum computer may break cryptographic standard, which is currently used today, has ignited several efforts to standardize quantum -resistant algorithms and introduce them to transport encryption protocols such as TLS 1.3. The choice of post-quantum algorithm will of course affect TLS 1.3’s performance. So far, studies of these effects have focused … Read more
In the digital era where documents are generated and distributed to hanged speeds, it is crucial to understand them automatically. Consider the tasks by extracting payment information from invoices or digitizing historical items where layouts and handwritten notes play an important role in understanding context. These scenarios emphasize the complexity of document understanding, which not … Read more
Anomali detection is the identification of data that differs significantly from established norms, which may indicate damage activity. It is a particularly tough challenge in the case of graph -based data, where anomalid detection is not only based on data values, but on topological conditions with the graph. Becuse anomalies tend to be rare, it … Read more
Amazon and Max Planck Society (also known as Max-Planck-Gesellschaft or MPG) announced the formation of a science node in May 2022. The collaboration marked the first Amazon Science Hub outside the United States. Huben’s goal is to promote research into AI, computer vision and machine learning, the benefits of which are widely shared across all … Read more
Forecasts for time series are important for decision -making across industries such as retail, energy, finances and health care. However, the development of accurate machine learning-based prognosis models has traditionally demanded significant data set-style and model adjustment. Related content Time series forecasts enable up-to-the-minute trend recognition, while the new two-step training process improves prognosis accuracy. … Read more