Search results for: 'Learning Expert-Level Racing Strategies Via Scheduled Cost Functions in Model Predictive Control'

The residential battery storage market is being spurred on by feed-in tariff and net metering revisions in residential PV hotspots, subsidies and tax incentives, rapid reductions in lithium-ion battery prices, and rising electricity tariffs. This is resulting in a shift from policy-driven markets for solar power grid trade to self-consumption-drive...

As enterprises increase their use of both cloud and physical infrastructures to support a digital business, they require tools that enable easy, efficient, and consistent management of all environments. As such, hybrid cloud management platforms have evolved to provide common functionality across infrastructures, architectures, and vendors. For pla...

After experiencing growth in 2024, the video conferencing devices market slowed in H1 2025. Unit shipments for the total market declined by 0.4 percent in H1 2025, over the same period prior year, even though revenue grew at 8.2 percent, driven by higher prices resulting from tariff impacts. The slowdown in H1 2025 was concentrated in the USB camer...

The growing multipolar world, types of threats and distances from which such threats can emanate, contested waters, and maritime zones of control of various nations necessitate greater and constant vigilance of oceans through maritime surveillance. Maritime surveillance is conducted using terrestrial radars, automatic identification systems (AIS...

The oil and gas industry has seen by many as major source of pollution in the world. Chemicals such as carbon dioxide and methane have been released to the atmosphere. The cumulative volume of both gasses, along with other harmful substances are massive. Decades of harmful emission has led to serious consequence, particularly on the deteriorating a...

Neural networks is an advanced computational technology that is designed and built to work much like neurons in the human brain. This technology uses various optimization algorithms that recognizes hidden patterns of raw data to correlate, classify, and give desired output through continuously learning and improving approach. Neural networks improv...

This study examines the North American mobile situational awareness solutions market. Profiles of two leading provider are presented, including an examination of their product portfolios and strategies. Market trends, adoption drivers and barriers, competitive innovations, and potential growth opportunities are also defined and discussed. The m...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Zero-trust and Secure Remote Access , Asset Intelligence and Protection, Advanced Threat Protection, Cloud Security, Security Pentesting. Cyber Security TOE’s mission is to investigate new and emerging developments that aim to protect the network...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to Innovations in AI-Enabled Data Security, Attack Surface Management, Threat Detection and Response, AI Security, Cloud Security, Identity and Access Management (IAM), Mobile Security, Anti-Phishing Platform, Endpoint Security, Email Security, and ...