Search results for: 'c2 from comput'

The demand for chips has experienced exponential growth in recent decades. Presently, the importance of these key hardware components is even higher due to increasing workload demands from innovations like generative artificial intelligence (AI) and machine learning (ML), which are also driving up energy consumption and costs. However, pandemic-ind...

This study analyzes the global Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) market from 2025 to 2031, covering hyperscale cloud providers, AI-focused neoclouds, and regional and sovereign cloud operators across North America, Latin America, EMEA, and Asia-Pacific. It provides market size and growth forecasts, examines regiona...

25 Apr 2022  |  North America  |  Frost Radar

Frost Radar™: Artificial Intelligence-enabled Drug Discovery, 2022

A Benchmarking System to Spark Companies to Action - Innovation that Fuels New Deal Flow and Growth Pipelines

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Pharmaceutical drug discovery and development has been suffering from declining success rates with new molecules primarily because of poor external validity of preclinical models and lack of efficacy of the molecule in terms of the intended disease indication. Drug success rates continue to be in the range of only 1 in 10 that enters clinical phase...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights emerging cybersecurity innovations, focusing on AML, fraud prevention, runtime application security, and zero trust architecture. These solutions reduce manual threat management, enhance identity protection, and utilize machine learning for real-time detection and res...

This edition of the Cyber Security Technology Opportunity Engine (TOE) focuses on the critical shift towards Zero Trust frameworks that eliminate human oversight through automation, address the lateral movement of threats in distributed environments, and unify fragmented security stacks through intelligent orchestration. Notable developments includ...

This edition of the Cyber Security Technology Opportunity Engine (TOE) examines expanding prospects within cloud-based software protection solutions, highlighting systems for overseeing credibility and tools for monitoring and safeguarding machine learning environments. It covers strategies for spotting issues in virtual infrastructures, overall or...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores emerging growth opportunities in autonomous multi-agent security operations, agentic AI-driven threat investigation, AI-native data governance, infrastructure identity security, and Zero Trust network protection. It highlights innovations in AI-powered SOC platforms, de...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores AI Data Governance and Real-Time AI Interaction Monitoring enable secure LLM adoption, while Human Risk Management and Real-Time Risk Detection deliver contextual behavioral interventions. Web Exposure Management and Continuous Web Exposure Discovery provide agentless c...