Self-organization: What robotics can learn from amoebae
Researchers have developed a new model to describe how biological or technical systems form complex structures without external guidance.
Quantum algorithms save time in the calculation of electron dynamics
Quantum computers promise significantly shorter computing times for complex problems. But there are still only a few quantum computers worldwide with a limited number of so-called qubits. However, quantum computer algorithms can already run on conventional servers that simulate a quantum computer. A team has succeeded in calculating the electron orbitals and their dynamic development …
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New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution
Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works.
A simpler path to better computer vision
Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model millions of example images gathered into a massive dataset.
Meta team builds AI that plays ‘Diplomacy’ at very high level
A group of researchers on the Meta Fundamental AI Research Diplomacy Team (FAIR), affiliated with multiple institutions in the U.S., has added a negotiation component to its Diplomacy-playing AI system. In a paper published in the journal Science, the team describes the work that went into building the system and its performance when pitted against …
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An optical chip that can train machine learning hardware
A multi-institution research team has developed an optical chip that can train machine learning hardware. Their research is published today in Optica.
Understanding our Work with the NHS
Since 2020, NHS England’s use of Palantir software has become an area of increasing interest. While we have shared some of the highlights of our collaboration, such as the development of Purpose-based Access Controls (PBAC), some inaccuracies persist in the discourse surrounding it. In this post, we set out the key facts. We are proud of …
Identifying landmarks with Amazon Rekognition Custom Labels
Amazon Rekognition is a computer vision service that makes it simple to add image and video analysis to your applications using proven, highly scalable, deep learning technology that does not require machine learning (ML) expertise. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos and detect inappropriate content. …
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Implementing Amazon Forecast in the retail industry: A journey from POC to production
Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time-series forecasts. Recently, based on Amazon Forecast, we helped one of our retail customers achieve accurate demand forecasting, within 8 weeks. The solution improved the manual forecast by an average of 10% in regards to the …
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Accelerate multilingual workflows with a customizable translation solution built with Amazon Translate
Enterprises often need to communicate effectively to a large base of customers, partners, and stakeholders across several different languages. They need to translate and localize content such as marketing materials, product content assets, operational manuals, and legal documents. Each business unit in the enterprise has different translation workloads and often manages their own translation requirements …