AI & RoboticsNews

Open vs. closed models: AI leaders from GM, Zoom and IBM weigh trade-offs for enterprise use

Deciding on AI models is as much of a technical decision and it is a strategic one. But choosing open, closed or hybrid models all have trade-offs. While speaking at this year’s VB Transform, model architecture experts from General Motors, Zoom and IBM discussed how their companies and customers consider AI model selection. Barak Turovsky, who in March became GM’s first chief AI officer, said…
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AI & RoboticsNews

Chinese researchers unveil MemOS, the first ‘memory operating system’ that gives AI human-like recall

A team of researchers from leading institutions including Shanghai Jiao Tong University and Zhejiang University has developed what they’re calling the first “memory operating system” for artificial intelligence, addressing a fundamental limitation that has hindered AI systems from achieving human-like persistent memory and learning. The system, called MemOS, treats memory as a core…
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AI & RoboticsNews

Why CISOs are making the SASE switch: Fewer vendors, smarter security, better AI guardrails

Investors, including venture capitalists (VCs), are betting $359 million that secure access service edge (SASE) will become a primary consolidator of enterprise security tech stacks. Cato Network’s oversubscribed Series G round last week demonstrates that investors view SASE as capable of driving significant consolidation across its core and adjacent markets. Now valued at $4.8 billion, Cato…
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AI & RoboticsNews

Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a “dream team” of AI agents. The method, called Multi-LLM AB-MCTS, enables models to perform trial-and-error and combine their unique strengths to solve problems that are too complex for any individual model. For enterprises, this…
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