Latest news with #SVM
Yahoo
27-05-2025
- Business
- Yahoo
Singapore's EPS selects Avikus for AI navigation retrofit on two vessels
Singapore-based shipowner Eastern Pacific Shipping (EPS) has awarded a retrofit contract to Avikus, a subsidiary of HD Hyundai, to deliver an AI-based autonomous navigation system for two EPS-managed vessels. The deal involves the installation of Avikus' HiNAS Control, SVM, and HiNAS Cloud systems on two vessels, including a bulk carrier and a Suezmax tanker. As part of the agreement, Avikus will deploy its AI-based HiNAS Control system, comprising both hardware and software components, along with HiNAS Cloud, an advanced analytics platform. The scope of the contract also includes full system commissioning and a comprehensive training programme for crew, incorporating both onboard instruction and continued online education. Avikus CEO Dohyeong Lim said: 'This agreement validates the strength of our autonomous technology and its ability to deliver tangible fuel savings and safety improvements. We are excited to expand our international retrofit footprint through this milestone collaboration.' The HiNAS Control system uses real-time sensor integration and machine learning to assist in autonomous navigation and optimise routing decisions. It is designed to lower fuel consumption by enabling more precise vessel control in varying maritime conditions. The HiNAS Cloud component supports shore-based operations through detailed voyage analytics and decision-making tools, contributing to overall operational efficiency and emissions reduction. EPS technical director Sachin Saharawat said: 'This partnership with Avikus will enable us to accelerate our digital transformation while delivering measurable performance and sustainability gains across our fleet.' The contract with EPS marks Avikus' inaugural commercial retrofit contract outside of Korea. The company has successfully outfitted more than 350 vessels with its navigation assistance systems, encompassing both new builds and retrofits. The contract highlights the increasing worldwide demand for AI-driven maritime solutions that improve safety and fuel efficiency, according to Avikus. As global regulations become stricter and stakeholder expectations rise, the maritime industry is increasingly adopting autonomous technologies to move towards safer and sustainable operations, the company added. Last year, EPS selected bound4blue, an automated wind-assisted propulsion systems developer, to deliver three 22m high eSAIL suction sails for installation on a newbuild medium range (MR) tanker. "Singapore's EPS selects Avikus for AI navigation retrofit on two vessels" was originally created and published by Ship Technology, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Yahoo
23-05-2025
- Business
- Yahoo
Silvercorp: Fiscal Q4 Earnings Snapshot
VANCOUVER, British Columbia (AP) — VANCOUVER, British Columbia (AP) — Silvercorp Metals Inc. (SVM) on Thursday reported a loss of $7.6 million in its fiscal fourth quarter. On a per-share basis, the Vancouver, British Columbia-based company said it had a loss of 3 cents. Earnings, adjusted for non-recurring costs, were 7 cents per share. The mineral miner posted revenue of $75.1 million in the period. For the year, the company reported profit of $58.2 million, or 29 cents per share. Revenue was reported as $298.9 million. _____ This story was generated by Automated Insights ( using data from Zacks Investment Research. Access a Zacks stock report on SVM at
Washington Post
22-05-2025
- Business
- Washington Post
Silvercorp: Fiscal Q4 Earnings Snapshot
VANCOUVER, British Columbia — VANCOUVER, British Columbia — Silvercorp Metals Inc. (SVM) on Thursday reported a loss of $7.6 million in its fiscal fourth quarter. On a per-share basis, the Vancouver, British Columbia-based company said it had a loss of 3 cents. Earnings, adjusted for non-recurring costs, were 7 cents per share.
Yahoo
22-05-2025
- Business
- Yahoo
Silvercorp: Fiscal Q4 Earnings Snapshot
VANCOUVER, British Columbia (AP) — VANCOUVER, British Columbia (AP) — Silvercorp Metals Inc. (SVM) on Thursday reported a loss of $7.6 million in its fiscal fourth quarter. On a per-share basis, the Vancouver, British Columbia-based company said it had a loss of 3 cents. Earnings, adjusted for non-recurring costs, were 7 cents per share. The mineral miner posted revenue of $75.1 million in the period. For the year, the company reported profit of $58.2 million, or 29 cents per share. Revenue was reported as $298.9 million. _____ This story was generated by Automated Insights ( using data from Zacks Investment Research. Access a Zacks stock report on SVM at Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Time of India
20-05-2025
- Science
- Time of India
Himalayan river basins face escalating landslide threats, Jhelum most vulnerable, warns study
Dehradun: A comprehensive new study, led by researchers from Aligarh Muslim University (AMU), Jamia Millia Islamia, and King Saud University, reveals that vast areas of the Himalayan river basins are under serious threat from landslides, posing grave risks to both lives and livelihoods. The study identified the Jhelum river basin as the most vulnerable, with nearly 900,000 hectares of agricultural land and over 37,000 hectares of built-up areas at risk. The Kali and Ganga river basins were also found to be high-risk zones, with more than 287,000 hectares and 140,000 hectares of agricultural land exposed to potential landslides respectively. Published in the journal 'All Earth', the research was conducted using advanced machine learning techniques combined with geospatial data to map highly vulnerable zones across the region. Researchers used Support Vector Machine (SVM) models to predict landslide susceptibility based on a range of natural variables, including terrain, rainfall, vegetation cover, and forest fire activity. Led by AMU's Zainab Khan, the team also factored in population density, land use, and terrain features for a comprehensive risk assessment. "Policymakers now have a map of risk. What they need next is a roadmap of response," said Khan. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Giao dịch Bitcoin và Ethereum - Không cần ví! IC Markets BẮT ĐẦU NGAY Undo "This study not only identifies where the risks are greatest, but also why. That makes it a vital tool for proactive governance." In the Jhelum basin alone, over 2.3 million people are living in areas classified as "high" or "very high" risk. Similar patterns were observed across the Indus, Yamuna, and Ganga basins, highlighting the widespread nature of the threat, as per the study. Using a method called SHAP (Shapley Additive Explanations), the study identified runoff, forest fires, the number of nearby streams, and stream power index, which is a measure of the erosive power of flowing water, as the biggest contributors to landslide risk. These were followed by factors like steep slopes, how wet the ground tends to stay, and vegetation health and density. While factors like elevation and geology played a relatively minor role, the study emphasised the significant impact of forest fires on slope stability. Fires not only destroy the vegetation that binds the soil but also create a water-repellent layer that increases runoff, accelerating erosion and slope failure. The impact of landslides on infrastructure and agriculture are catastrophic as it can block roads, damage crops, and bury homes, hampering both local economies and emergency response efforts. In densely populated valleys and foothill zones, even moderate-risk areas can suffer devastating losses due to the concentration of people and assets. For instance, the Yamuna river basin has over 100,000 hectares of vulnerable agricultural land and more than 10,000 hectares of urban settlements at risk. The Sutlej and Giri basins also face high landslide risk, with thousands of hectares of land and tens of thousands of residents exposed to potential danger. The researchers recommend targeted mitigation measures, including afforestation, slope stabilisation, and restrictions on construction in high-risk areas. They stress that the integration of early warning systems and community-based disaster preparedness is critical to reducing the toll of landslides in the future.
