The mutual-exclusion property of locks stands in the way to scalability of parallel programs on many-core architectures. Locks do not allow progress guarantees, because a task may fail inside a critical section and keep holding a lock that blocks other tasks from accessing shared data. With non-blocking synchronization, the drawbacks of locks are avoided by synchronizing access to shared data by atomic read-modify-write operations. To incorporate non-blocking synchronization in Ada 202x, programmers must be able to reason about the behavior and performance of tasks in the absence of protected objects and rendezvous. We therefore extend Ada’s memory model by synchronized types, which support the expression of memory ordering operations at a sufficient level of detail. To mitigate the complexity associated with non-blocking synchronization, we propose concurrent objects as a novel high-level language construct. Entities of a concurrent object execute in parallel, due to a fine-grained, optimistic synchronization mechanism. Synchronization is framed by the semantics of concurrent entry execution. The programmer is only required to label shared data accesses in the code of concurrent entries. Labels constitute memory-ordering operations expressed through aspects and attributes. To the best of our knowledge, this is the first approach to provide a non-blocking synchronization construct as a first-class citizen of a high-level programming language. We illustrate the use of concurrent objects by several examples.