Q2 (NYSE:QTWO) executives said artificial intelligence is creating new opportunities and risks for digital banking, with personal AI agents emerging as another channel through which consumers and businesses may interact with financial institutions.
CrowdStrike has identified a China-linked cyber campaign using agentic AI to conduct simultaneous intrusions against more than 200 organisations across at least 14 countries.
Alphabet Inc.'s new TPU 8t and 8i cut token costs and boost AI performance per dollar. Click to know more on the implications for GOOG shareholders and Nvidia.
We present, to the best of our knowledge, the first fully automated verification framework for QSP-based Hamiltonian simulation. Our framework exploits the structure of the simulation algorithm: Hamiltonians are given as weighted sums of Pauli strings, embedded into larger unitaries through block encodings, and transformed into time-evolution operators by quantum signal processing (QSP). Using a symbolic Pauli-sum semantics for ancilla-indexed circuit blocks, our verifier proves that the distinguished all-zero ancilla block is proportional to the target Hamiltonian and infers the subnormalization factor automatically. It then verifies the QSP layer by extracting the implemented polynomial transformation and certifying its approximation error. This structure-aware abstraction is essential for scalability. Composing our verified block encoding and QSP wrapper yields an estimated macro-expanded size of about 1.52 million gates. The verifier certifies the block encoding once and checks the QSP layer through its abstract interface, without expanding the oracle calls. Our implementation verifies block encodings of structured Pauli-sum Hamiltonians with up to 256 system qubits and…
In Nanbeige4.3, we take a foundational step toward pushing the boundaries of lightweight agents. Our strategy centers on building a high-capacity teacher agent first, which will subsequently anchor the distillation of advanced agentic capabilities into smaller models.
Speech-to-text engines are extremely needed nowadays for different applications, representing an essential enabler in human-robot interaction. Still, some languages suffer from the lack of labeled speech data, especially in the Arabic dialects or any low-resource languages. The…
Multi-task visual grounding requires models to jointly understand linguistic semantics and perform accurate visual localization and segmentation. Despite the success of multimodal large language models, effectively adapting them to multiple grounding objectives remains…
Biological visual systems achieve continuous, low-latency motion perception by processing sparse, asynchronous spiking signals, enabling real-time tracking under strict energy constraints. Event-based cameras, inspired by the mammalian retina, replicate this efficiency by…
Structured pruning is a model compression technique that is used to reduce the computational cost of deploying deep neural networks on resource-constrained devices. Popular methods of pruning rely on opaque heuristics or weight-based criteria that give no indication as to the…