Making AI smarter without more training data | UCR News

A study by UC Riverside researchers offers a practical solution to one of artificial intelligence’s toughest challenges by enabling AI systems to reason more like humans, without requiring new training data beyond testing questions. In a preprint paper entitled “Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models”, assistant professor Yinglun Zhu and students introduce a…

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Building Trust in Agentic AI

From principles to practice As artificial intelligence systems become more agentic and capable of multi-step reasoning and autonomous action, the issue of trust moves from theory to practice. These challenges are the focus of the Trust in AI Alliance, a new forum hosted by Thomson Reuters Labs that brings together leading AI researchers and engineers…

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Beyond IVR: How Kapture CX is building AI voice agents that act, not just talk

As voice becomes the fastest growing customer support interface in India, businesses are moving beyond IVRs to AI agents that can understand, act and resolve at scale. Kapture CX is at the forefront of this change by creating multilingual, code-combination-enabled AI voice bots that deliver consistent experiences across geographies while executing real workflows securely. In…

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