Technology

Amelia Earhart’s Aircraft Believed to be Found by Unconventional Team of Experts

Published

2 years ago

January 29, 2024

Deep Sea Vision Sonar Image May Unlock One of the Greatest Mysteries in Aviation History

CHARLESTON, S.C., Jan. 29, 2024 /PRNewswire/ — After an extensive deep-water search, a talented group of underwater archaeologists and marine robotics experts have unveiled a sonar image that may answer the greatest modern mystery – the disappearance of Amelia Earhart.

Amelia Earhart’s aircraft believed to be found, potentially solving the great mystery in aviation history

Captured westward of Earhart’s projected landing point, in a swath of the Pacific untouched by known wrecks, the image reveals contours that mirror the unique dual tails and scale of her storied aircraft. Deep Sea Vision (DSV), a Charleston, South Carolina-based marine robotics company led by CEO Tony Romeo, was pursuing the missing aircraft using the “Date Line theory” of her disappearance nearly 87 years ago. Originally theorized in 2010 by Liz Smith, a former NASA employee and amateur pilot, the Date Line theory attributes Earhart’s disappearance to simply forgetting to turn the calendar back one day as she flew over the International Date Line. Smith suggested that Amelia’s navigator, Fred Noonan, miscalculated his celestial star navigation by simply forgetting to turn back the date from July 3 to July 2 as they flew across the Date Line, creating a westward navigational error of 60 miles.

As a private pilot, DSV’s CEO Tony Romeo and his brother Lloyd Romeo believed the idea had merit and began digging deeper into the celestial math Smith had laid out. The Romeos came to believe that after 17 hours of exhausting flying it was quite plausible that Earhart’s navigator Fred Noonan could have made such an error. The theory and area described by Smith had never been searched – until now.

Romeo was not surprised to find the aircraft intact, saying, “We always felt that she [Earhart] would have made every attempt to land the aircraft gently on the water, and the aircraft signature that we see in the sonar image suggests that may be the case.” Romeo hopes they can answer that question very soon. “We’re thrilled to have made this discovery at the tail end of our expedition, and we plan to bring closure to a great American story.”

The Deep Sea Vision team, a diverse group of experts, proved that diligent efforts and next-generation technology could take on the monumental task of finding Earhart’s Lockheed Electra. For 90 days, the DSV team searched across 5,200 square miles of the Pacific Ocean floor, more than all previous searches combined. Their secret weapon, the HUGIN 6000, is an autonomous underwater marvel, modified by their own hands to outperform any underwater submersible used before. It is the most capable system available in the world, able to reach full ocean depth. DSV further improved the equipment by modifying the side scan sonar to search nearly 1,600-meter-wide swaths instead of the normal 450 meters. The changes were made possible by DSV President of Operations, Craig Wallace, who Romeo recruited directly from the sonar manufacturer to help put the expedition together.

The team launched the expedition out of a tiny island in the Pacific Ocean about a four-day cruise from where the discovery was made. Each dive of the sonar equipment lasted nearly two days and collected several terabytes of data scanning the sea floor. The international team worked around the clock, analyzing the imagery using cutting edge software that was being written as the mission went along. Their discovery, made at the conclusion of the expedition, was a testament to technological triumph and the unyielding pursuit of closure for an American icon.

Earhart’s fate has been the source of speculation and conspiracy theories since her mysterious disappearance in 1937. She remains a defining icon of her generation, women’s rights and a pioneering spirit of early aviation. DSV believes they are one step away from closure to this great mystery and will be keeping all other information, including the exact location, strictly confidential. While Romeo is very optimistic about their find, he acknowledges that there was a great deal of internal debate about whether to release the sonar image publicly. Many prominent authorities have been working to validate DSV’s findings, including Dorothy Cochrane, Aeronautics Curator at the Smithsonian’s National Air and Space Museum, who stated, “We are intrigued with DSV’s initial imagery and believe it merits another expedition in the continuing search for Amelia Earhart’s aircraft near Howland Island.”

Unlocking the mystery of Earhart’s whereabouts is one of several projects for Romeo and Deep Sea Vision. The investment they spent to launch the company is already leading to more exciting projects. DSV has already concluded a yet to be announced project in the Pacific and is currently providing their technology for a longer-term project in Australia.

About Deep Sea Vision

Deep Sea Vision is a marine robotics company specializing in deep ocean exploration and survey. With the latest variant of the HUGIN 6000, Deep Sea Vision owns the most advanced autonomous underwater vehicle (AUV) commercially available. Deep Sea Vision was founded by Tony Romeo, a graduate of the United States Air Force Academy, and led by Operations Chief, Craig Wallace, who was the former HUGIN product manager at Kongsberg Maritime. Deep Sea Vision is aiming to become the market leader in mineral exploration and habitat mapping over the next decade.

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SOURCE Deep Sea Vision

Technology

Bloomberg Introduces Spread-to-Benchmark Quoting for EUR and GBP Portfolio Trading Baskets

Published

16 hours ago

June 2, 2026

LONDON, June 2, 2026 /PRNewswire/ — Bloomberg today announced the launch of Spread-to-Benchmark quoting and trading for Euro (EUR) and Sterling (GBP) denominated portfolio trades through its Portfolio Trading Basket Builder (PTBB). The new functionality expands the range of quoting protocols available for European credit portfolio trading and reflects growing client demand for spread-based execution workflows, alongside increased dealer support for the convention across EUR and GBP markets.

Spread-to-Benchmark quoting is a well-established protocol for USD credit portfolio trades and is used by market participants to evaluate and execute portfolio trades. By extending this workflow to EUR and GBP portfolio trades, Bloomberg enables clients and dealers to transact using a familiar spread-based methodology across additional credit markets.

The introduction of Spread-to-Benchmark quoting for EUR and GBP baskets reflects increased client interest in evaluating portfolio trades through a spread-based lens and the growing adoption of spread-based execution workflows in European credit markets. The workflow provides market participants with an additional framework for assessing the relationship between credit spread risk and underlying government bond yields when pricing and executing portfolio trades.

Additional Workflow Flexibility 
The workflow complements Bloomberg’s existing portfolio trading capabilities, which support the full range of market-standard quoting conventions, including Price, Yield, Spread-to-Benchmark and Spread based workflows that reference Bloomberg’s evaluated pricing service (BVAL). This gives clients flexibility to compare and execute portfolio trades using the quoting methodology that best aligns with their investment objectives, execution preferences and internal risk management processes.

“European credit clients continue to look for execution workflows that reflect how they evaluate risk and monitor portfolio trading outcomes,” said Harry Street, Global Head of Credit and Equities Trading Product at Bloomberg. “By expanding dealer support for Spread-to-Benchmark quoting for EUR and GBP baskets, Bloomberg is broadening the range of workflow options available to clients trading European credit portfolios.”

“Portfolio trading workflows in fixed income continue to become more sophisticated as institutional investors look for ways to evaluate execution quality in changing market conditions,” said Kevin McPartland, Head of Market Structure & Technology Research at Crisil Coalition Greenwich. “Spread-based quoting helps market participants more clearly distinguish between the impacts of credit spread and underlying rates movements when determining how best to execute a portfolio trade.”

Bloomberg’s Electronic Markets solutions are used by leading financial institutions to trade efficiently in over 175 markets around the world. More than 9,000 client firms use Bloomberg Electronic Markets to access industry-leading depth and breadth of liquidity across asset classes from over 800 dealers globally. Bloomberg Electronic Markets provides market participants with comprehensive solutions across the trading lifecycle, including robust price transparency, analytics, automation and execution, powered by Bloomberg’s high-quality, multi-asset class data and tools.

About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.

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SOURCE Bloomberg L.P.

Technology

Dr. Sunho Kang, a senior battery-technology executive with leadership experience at major global battery and EV manufacturers, joins TeraWatt Technology as Head of Product and Technology

Published

16 hours ago

June 2, 2026

SAN FRANCISCO, June 2, 2026 /PRNewswire/ — TeraWatt Technology Inc. (Headquartered in California, USA) is pleased to announce that Dr. Sunho Kang has joined the company as Head of Product and Technology.

Dr. Kang is a globally recognized battery-technology executive with more than 25 years of leadership experience spanning the United States, Asia, and Europe, and a distinguished track record of advancing innovations from laboratory research through gigafactory-scale production. He has held senior executive positions at world-leading organizations including Samsung SDI, Apple, and Volkswagen Group of America, and brings deep expertise in lithium-ion battery materials, cell engineering, and product industrialization across a broad range of applications, including electric vehicles and energy storage systems.

At TeraWatt, Dr. Kang will lead global product development and the commercialization of TeraWatt’s battery technology platform, aiming to accelerate the delivery of TeraWatt’s competitive products as well as the technology and commercialization roadmap including manufacturing scale-up.

Dr. Kang commented:

“I am thrilled to join TeraWatt Technology as Head of Product and Technology. TeraWatt’s innovative battery platform presents a tremendous opportunity to push the boundaries of lithium-ion technology, and I look forward to working with the team to accelerate product development and commercialization to deliver meaningful impact.”

TeraWatt Technology founder CEO Ken Ogata, Ph.D. commented:

“We are thrilled to welcome Dr. Kang as our Head of Product and Technology. His deep expertise in battery materials, cell engineering, and productization will be instrumental in accelerating TeraWatt’s product roadmap and technology leadership. Together with Dr. Kang, we will continue to drive our mission forward.”

About TeraWatt Technology Inc.
TeraWatt Technology Inc. is a California-based company that produces lightweight, high-power, and safe next-generation lithium-ion batteries.

Company Overview
Name: TeraWatt Technology Inc.
Representative: Co-founder and CEO Ken Ogata
Headquarters: 28 Geary St, Suite 650, San Francisco, CA 94108, United States
Founded: January 2020
Established: December 2019
URL: https://www.terawatt-technology.com/

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SOURCE TeraWatt Technology Inc.

Technology

Tencent Cloud and Soniox Announce Strategic Partnership: Combining Advanced Speech-to-Text (STT) Technology with Global Real-Time Infrastructure

Published

16 hours ago

June 2, 2026

HONG KONG, June 2, 2026 /PRNewswire/ — Tencent Cloud, the cloud business of global technology company Tencent, today announced a strategic partnership with Soniox, a San Francisco-based speech AI company that specializes in developing high-accuracy, low-latency speech AI solutions. The collaboration integrates Soniox’s speech-to-text (STT) technology with Tencent Cloud’s Real-Time Communication (TRTC) enterprise-grade global infrastructure, enabling enterprises to build and deploy multilingual voice AI applications across 200+ countries and regions.

Elevating Enterprise Voice AI at a Global Scale

In enterprise voice AI deployments, latency directly affects user experience and application reliability. The integration of Soniox’s high-accuracy, low-latency STT with TRTC’s global transmission infrastructure reduces latency across the entire pipeline, creating a comprehensive end-to-end solution for enterprises deploying conversational AI applications worldwide.

Soniox is the voice platform for every language. Unlike legacy speech AI, which was built primarily for English-speakers, Soniox delivers native-speaker accuracy across 60+ languages. Its technology can handle mid-sentence language switching — a user can switch between English and Chinese in a single utterance, and Soniox will capture every word with complete accuracy. All of this works through a single API that works for both speech-to-text and text-to-speech.

By integrating TRTC, the partnership leverages an enterprise-grade real-time communication backbone featuring more than 3,200 global nodes, sub-300 ms worldwide latency, and advanced capabilities such as AI noise suppression and weak-network resilience. These capabilities enable conversational AI applications to operate reliably across diverse network environments, including regions such as Southeast Asia and Africa.

With the roll out of this partnership, developers can integrate the Soniox STT API directly within the Tencent Cloud console. Whether targeting English-speaking markets or supporting languages such as Arabic, Hindi, and Malay, enterprises can build global voice applications — including intelligent customer service, voice assistants, real-time translation, and meeting transcription — to address the demands of expansion into emerging markets and multilingual scenarios.

Wison Xie, Head of Product at Tencent RTC, stated: “Tencent RTC has always been committed to providing reliable real-time communication infrastructure for global enterprises. Our partnership with Soniox brings together our strengths in enterprise-grade audio transmission and Soniox’s advanced speech recognition technology. Together, we are making it easier for businesses to deploy accurate, low-latency voice AI applications across any language and any market.”

Klemen Simonic, CEO at Soniox Inc., stated “At Soniox, our mission is to help businesses understand every word, in any language, with native speaker accuracy and exceptional speed. Partnering with Tencent Cloud combines our speech AI with world-class real-time infrastructure, enabling enterprises to build voice AI experiences that scale globally with low latency and reliability.”

About Tencent Cloud:

Tencent Cloud, one of the world’s leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

About Tencent RTC:

Tencent RTC provides real-time communication solutions, including audio/video calling, live streaming, and in-game voice. With enterprise-grade security, AI-powered enhancements, and a global network of over 3,200 nodes, Tencent RTC powers mission-critical communication for customers worldwide.

About Soniox:

Soniox is a next-generation voice AI company bringing about the end of English-first speech AI. Most people on the planet did not grow up speaking English and often mix languages mid-sentence; and yet legacy speech AI was built for just English. Soniox is different: native-speaker accuracy across 60+ languages, true mid-sentence language switching, and flawless alphanumeric recognition that legacy providers still can’t match. For developers building global apps, Soniox is the only option. Try it for yourself at soniox.com.

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SOURCE Tencent Cloud