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Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

In computational complexity theory, P and NP are two classes of problems. P is the class of decision problems that a deterministic Turing machine can solve in polynomial time. In useful terms, any ...

Communication complexity examines the minimum volume of information exchange required among distributed agents to compute a function of their combined inputs. Established nearly four decades ago, this ...

Since the very first days of computer science — a field known for its methodical approach to problem-solving — randomness has played an important role. The first program to run on the world’s first ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...

SHENZHEN, China, May 04, 2026 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announces the launch of its latest core technology ...

We haven't exactly worked out all of AI's kinks yet. Just try asking ChatGPT to solve a basic math problem or tell you how many R's are in "strawberry." You'll get a different, probably unhinged, ...