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Only 0.001% of the Deep Seafloor Visually Observed in Seventy Years, Revealing Gaps and Bias in Ocean Exploration

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SAUNDERSTOWN, R.I., May 7, 2025 /PRNewswire/ — In a groundbreaking study published today in Science Advances, researchers from Ocean Discovery League reveal that only a minuscule fraction of the deep seafloor has been imaged. Despite covering 66% of Earth’s surface, the deep ocean remains largely unexplored. The study, “How Little We’ve Seen: A Visual Coverage Estimate of the Deep Seafloor,” is the first to document that, in decades of deep-sea exploration, humans have observed less than 0.001% of the deep seafloor. This total area is roughly the size of Rhode Island or one-tenth the size of Belgium.

In a groundbreaking study, researchers reveal that only a minuscule fraction of the deep seafloor has been imaged.

The deep ocean, defined as being deeper than 200 meters, sustains diverse ecosystems and provides essential services, including oxygen production, climate regulation, and crucial pharmaceutical discoveries, and plays a critical role in maintaining the health of our planet. Yet, despite its importance, research into this immense ecosystem is severely limited, with visual surveys primarily focused on just a few regions and countries. Visual imaging is one of the most critical methods to study the deep seafloor and is one of the three key pillars of ocean exploration, alongside mapping and sampling.

“As we face accelerated threats to the deep ocean—from climate change to potential mining and resource exploitation—this limited exploration of such a vast region becomes a critical problem for both science and policy,” said Dr. Katy Croff Bell, President of Ocean Discovery League, National Geographic Explorer, and lead author of the study. “We need a much better understanding of the deep ocean’s ecosystems and processes to make informed decisions about resource management and conservation.”

Using data from approximately 44,000 deep-sea dives with observations conducted since 1958, across the waters of 120 different countries, the study is the most comprehensive global estimate of deep-sea benthic observations to date and highlights the disparity in global exploration efforts. Given that not all dive records are public, the researchers assert that even if these estimates are off by a full order of magnitude, less than one-hundredth of 1% of the seafloor would have any visual records.

Remarkably, a majority of the visual observations have occurred within 200 nautical miles of just three countries: the United States, Japan, and New Zealand. Due to the high cost of ocean exploration, a mere handful of nations dominate deep-sea exploration, with five countries— the United States, Japan, New Zealand, France, and Germany—responsible for 97% of all deep-sea submergence observations. This bias in geographic coverage and operator representation has led the oceanographic community to base much of its characterization of the deep ocean ecosystem on this incredibly small and unrepresentative sample.

These findings underscore the urgent need for a more comprehensive and global effort to explore the deep ocean, ensuring that scientific research and conservation efforts accurately reflect the true extent of the seafloor. As noted in the study, if the scientific community were to make all assumptions about terrestrial ecosystems from observations of only 0.001% of that total area, they would be basing their assessments of all land-based life on Earth on an area roughly the size of Houston, Texas.

“There is so much of our ocean that remains a mystery,” says Dr. Ian Miller, Chief Science and Innovation Officer at the National Geographic Society, which contributed funding for this work. “Deep-sea exploration led by scientists and local communities is crucial to better understanding the planet’s largest ecosystem. Dr. Bell’s goals to equip global coastal communities with cutting-edge research and technology will ensure a more representative analysis of the deep sea. If we have a better understanding of our ocean, we are better able to conserve and protect it.”

To address these challenges, the researchers call for expanding exploration efforts and utilizing advancements in smaller, more affordable deep-sea tools to increase access to the deep ocean.

Funding for this study was provided in part by the National Geographic Society and Rolex Perpetual Planet Expeditions program, Lyda Hill Philanthropies, and the Cabot Family Charitable Trust.

Link: https://www.science.org/doi/10.1126/sciadv.adp8602

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SOURCE Ocean Discovery League

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Baidu to Report First Quarter 2026 Financial Results on May 18, 2026

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BEIJING, April 23, 2026 /PRNewswire/ — Baidu, Inc. (Nasdaq: BIDU; HKEX: 9888 (HKD Counter) and 89888 (RMB Counter)) (“Baidu” or the “Company”), a leading AI company with strong Internet foundation, today announced that it will report its financial results for the First Quarter 2026 ended March 31, 2026, before the U.S. market opens on May 18, 2026. Baidu’s management will hold an earnings conference call at 8:00 AM on May 18, 2026, U.S. Eastern Time (8:00 PM on May 18, 2026, Beijing Time).

Please register in advance of the conference call using the link provided below. It will automatically direct you to the registration page of “Baidu Inc. Q1 2026 Earnings Conference Call”. Please follow the steps to enter your registration details, then click “Register”. Upon registering, you will then be provided with the dial-in number, the passcode, and your unique access PIN. This information will also be emailed to you as a calendar invite.

For pre-registration, please click:
https://s1.c-conf.com/diamondpass/10054331-iu876y.html

In the 10 minutes prior to the call start time, you may use the conference access information (including dial-in number(s), the passcode and unique access PIN) provided in the calendar invite that you have received following your pre-registration.

Additionally, a live and archived webcast of this conference call will be available at https://ir.baidu.com.

A replay of the conference call may be accessed by phone at the following number until May 25, 2026:
US: 1 855 883 1031
Reply PIN: 10054331

About Baidu

Founded in 2000, Baidu’s mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong Internet foundation, trading on Nasdaq under “BIDU” and the HKEX under “9888.” One Baidu ADS represents eight Class A ordinary shares.

View original content:https://www.prnewswire.com/news-releases/baidu-to-report-first-quarter-2026-financial-results-on-may-18-2026-302751204.html

SOURCE Baidu, Inc.

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Phase 1 of 139th Canton Fair Introduces New Dedicated Product Zones as Emerging Technologies Take Center Stage

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GUANGZHOU, China, April 23, 2026 /PRNewswire/ — The 139th China Import and Export Fair (Canton Fair) has further optimized its exhibition landscape with nine new dedicated product zones, reflecting ongoing structural shifts in global trade and the continued upgrading of China’s export portfolio.

Among the most closely watched additions in Phase 1 are the consumer and agricultural drone zones, both making their debut at the Canton Fair and offering a focused showcase of applications in the low‑altitude economy. The consumer drone zone showcases progress in flight control, AI‑based obstacle avoidance and energy efficiency across imaging, tourism, emergency response and patrol. The agricultural drone zone highlights precision farming, with spraying, seeding and field‑management demonstrations showing terrain‑following, intelligent route planning, and precise payload control.

On day one, a Shandong‑based drone manufacturer welcomed buyers from 30+ countries, with over 50 strong leads. One buyer, after seeing load and wind‑resistance demonstrations, immediately confirmed three sample units and even proposed becoming a regional distributor.

Display technology is another focal point of Phase 1, highlighting advances in color accuracy, energy efficiency, and overall visual performance. Developments in fine‑grained control, expanded color gamut, and reduced power consumption point to a clear trend toward immersive viewing experiences combined with sustainability gains.

The smart wearables zone underscores how intelligent devices are becoming key interfaces for human‑machine interaction. From real‑time language translation and adaptive noise cancellation to long‑term health monitoring and AI‑enabled eyewear, wearables are evolving from standalone products into integrated systems that support communication, well‑being, and productivity across daily and professional settings.

The service robots zone further illustrates how artificial intelligence is moving from conceptual exploration to large‑scale deployment. Advanced robots showcased across industrial, commercial, medical, and public‑service scenarios demonstrate growing autonomy, multi‑sensory perception, and closer human-robot collaboration.

By bringing emerging technologies into clearer focus through dedicated zones, the 139th Canton Fair is reinforcing its function as a platform where trade trends take shape, innovation meets application, and global buyers gain early insights into cutting-edge technologies.

For pre-registration, please click: https://buyer.cantonfair.org.cn/register/buyer/email?source_type=16

Photo – https://mma.prnewswire.com/media/2963958/1.jpg

View original content:https://www.prnewswire.co.uk/news-releases/phase-1-of-139th-canton-fair-introduces-new-dedicated-product-zones-as-emerging-technologies-take-center-stage-302751520.html

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OZMOSI Announces Strategic Partnership with Planview to Advance AI-Driven Planning in Pharmaceutical R&D

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By combining structured clinical intelligence with AI-driven portfolio planning, the partnership gives pharmaceutical teams a faster, clearer way to make high-stakes R&D decisions

SPRING LAKE HEIGHTS, N.J., April 23, 2026 /PRNewswire/ — OZMOSI, a leading provider of structured pharmaceutical development intelligence, today announced a strategic partnership with Planview, the leading AI-powered end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD).

By integrating OZMOSI’s machine-readable clinical datasets directly into Planview’s AI-driven portfolio planning platform, external scientific data is now connected to internal R&D planning in one system,  helping pharmaceutical organizations better predict market shifts, prioritize R&D investments, and make faster, more confident decisions.

This integration brings external clinical reality into internal R&D decision-making, so teams can plan based on what’s actually happening, not just on what they hope will happen.

The two organizations combine deep expertise in complementary areas, united by a shared focus on improving the quality and usability of data for strategic decision-making. OZMOSI provides structured, machine-readable intelligence across clinical trials, drug development programs, regulatory activity, and scientific literature, built on a consistent taxonomy that standardizes how data is connected and understood. Planview’s platform enables organizations to model complex investment scenarios, align initiatives with corporate strategy, and optimize resource allocation.

Together, these capabilities give teams a clearer, more complete view of the R&D landscape, grounded in clean, standardized data and strengthened by AI-driven analysis.

“AI is only as powerful as the data that fuels it,” said Beau Bush, President and Founder of OZMOSI. “Pharmaceutical organizations have no shortage of data, but too often it’s fragmented, inconsistent, and difficult to operationalize. By bringing OZMOSI’s structured data foundation together with Planview’s AI-driven planning capabilities, we’re enabling teams to move beyond disconnected analysis and toward truly integrated, forward-looking decision-making.”

“Strategic planning in pharmaceutical R&D is becoming increasingly dependent on advanced analytics and AI,” said  Louise Allen, Chief Product Officer at Planview. “Integrating OZMOSI’s clinical intelligence into Planview’s platform enables pharmaceutical leaders to make better decisions by combining trusted external data with AI-driven planning

OZMOSI’s dataset spans more than 800,000 clinical trials, over 35,000 drugs, and 4,000 diseases and conditions. It brings together insights from clinical trial registries, regulatory filings, scientific literature, company disclosures, and industry announcements into a unified, structured dataset.

When integrated into Planview’s platform, this intelligence enables pharmaceutical and biotech organizations to evaluate competitive landscapes, identify emerging clinical trends, and simulate portfolio outcomes with unprecedented precision.

Together, OZMOSI and Planview are redefining how pharmaceutical organizations approach R&D strategy, ensuring that investment decisions are guided by accurate, standardized, and AI-ready data. By combining internal portfolio visibility with a continuously updated external view of the market, the partnership helps leaders not only understand what they have, but what to do next.

About OZMOSI

Founded in 2013, OZMOSI specializes in transforming complex pharmaceutical R&D intelligence into structured, machine-readable data. The company provides the foundation needed for accurate competitive analysis, product forecasting, and portfolio strategy. Through its proprietary taxonomy and semantic layer, OZMOSI connects fragmented data across the pharmaceutical ecosystem, enabling faster, more confident decision-making for global pharma, biotech, and investment teams.

Based in Spring Lake Heights, New Jersey, OZMOSI is focused on making pharmaceutical intelligence clear, usable, and ready for the future of AI-driven strategy. Learn more at www.ozmosi.com.

About Planview

Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD), powered by advanced AI capabilities that give business and technology leaders the strategic foresight to prioritize investments and initiatives, make plans real within constraints, and pivot with certainty when things change. Our AI-driven connected platform of solutions underpins the business and digital transformations of more than 3,000 customers and 3.1 million users globally. Headquartered in Austin, Texas, Planview has over 1,500 employees worldwide. Learn more at www.planview.com.

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SOURCE Ozmosi Company

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