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Artificial Intelligence

DIGITAL ENGINEERING FOR SPACE DEMO DAY BRINGS TO LIGHT THE ART OF THE POSSIBLE

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COLORADO SPRINGS, COLORADO, Dec. 06, 2021 (GLOBE NEWSWIRE) — On November 18, 2021, eight companies concluded their 3-month Accelerator with an on-site demonstration day at Catalyst Campus for Technology and Innovation. In attendance were Air Force, Space Force, and other Government personnel, subject matter experts from industry leaders, investors assessing the potential of cohort company technologies, and those curious about where the U.S. is heading with space technology. “Fielding an interoperable Modeling and Simulation framework is key to the USSF’s ability to deliver superior space capabilities and to provide robust realistic training environments necessary to prepare our Guardians to decisively win anywhere, anytime. The Government can’t do that alone. It’ll take strong partnerships between government, industry and academia to deliver innovative warfighting capabilities that keep the USSF ahead of any emerging threat,” says Tim LeRoy, Technical Director at STARCOM, when speaking about the importance of partnerships and Modeling and Simulation for the United States Space Force during Demo Day.

The Digital Engineering/Modeling and Simulation Accelerator was the eighth accelerator facilitated by Catalyst. The cohort was chosen for their technology and business readiness, from a pool of 22 companies. The problem statement was framed around how the United States Space Force might leverage modeling and simulation to improve operator training, system design, acquisition, architecture resilience, and operations. Technologies provided by cohort companies included gaming technologies, no-code digital infrastructure, automation, AR, XR, and AI.

Over the course of the Accelerator, the companies were guided by the following subject matter experts: Government Sherpas and end-users, enabling them to better understand Government space needs; business experts, helping them pivot their technology and corporate posture to position themselves well in the Government market; and Commercial Sherpas (Lockheed Martin, LinQuest Corporation, Deloitte, Ball Aerospace, Microsoft, Leidos, Delta Solutions and Strategies, and ManTech), helping them step into the Government arena with advice, consulting, and key contact introductions within the Government and Commercial sectors. Jonathan Torkelson from the cohort company, Embeddetech, explained, “The Catalyst Accelerator provided world-class training on the functioning of the DoD from every perspective, including talking to contracting officers and understanding their role, talking to operators, and understanding their pain points, as well as talking to the primes and understanding where we can fit in. The Accelerator provided clear insight into the diverse contracting opportunities available well beyond SBIRs. The Catalyst Accelerator easily represents hundreds of thousands of dollars of value that most startups with technology useful to the DoD could never afford.” 

Demo Day was the culmination of the Digital Engineering/Modeling and Simulation Accelerator, which began on August 23, 2021. It was the final product of the cohort’s diligence, the re-imagining of their technology, the shifting of their business model to fit the new customer – Space for the U.S. Government. Each company then provided a brief pitch on their tech before attendees had the opportunity to follow-up individually with the small businesses. “Demo Day accomplished what we had hoped it would.  After a short capabilities presentation, our eight cohort companies spent the next two hours talking to interested, relevant attendees from DoD and industry, along with investors in space technologies.  This offered a great opportunity for cohort companies to make the connections they need to accelerate their businesses and advance their capabilities,” says KiMar Gartman, Catalyst Accelerator Program Director. 

Cohort companies included:

Awayr AIhttps://awayrai.com/ – Awayr AI combines expertise in machine learning, human factors, and cyber security, to solve difficult problems at the frontier of human ma­chine interaction, cyber security and human machine interface design and optimization. For human machine interface design and performance, they provide quantitative analysis of operator efficiency and quality of operator – HMI interaction. For HMI design and optimization, they develop predictive AI that can run simulations for operator – interface interaction, to understand the efficacy of designs and updates prior to fielding. In their cyber division, they are working with NIST to implement a new standard in security awareness testing and training, with implica­tions for the implementation of CMMC.

Embeddetechhttps://www.virtuoso-software.com/ – Virtuoso and Montage provide no-code and digital economy infrastruc­ture, respectively, creating a momentous leap forward in composable software development workflows. These platforms provide superior benefits to a wide range of diverse markets and technology categories, including modeling & simulation, digital twin, digital transformation, DevSecOps, RPA, IoT and Enterprise Integration, and much more. Virtu­oso and Montage create a completely new paradigm for how software solutions with complex requirements can be effortlessly composed.

GridRaster, Inc. – https://gridraster.com/ – GridRaster Inc. is building the most advanced open, modular, scalable, vendor agnostic cloud based XR infrastructure for ultra-realistic simu­lations and training on commercially available devices. It combines the best of gaming technologies/concepts with traditional simulator capabil­ities in XR by leveraging distributed cloud computing, 3D Artificial intel­ligence and DevSecOps based agile deployment and operation to deliver a ubiquitous, on-demand and immersive training system for agile joint multi-mission aviation operations.

Improbablehttps://defense.improbable.io/ – Improbable is a software company born of and powered by commercial gaming technologies. Improbable leverages their synthetic environment platform to deliver composable and scalable virtual environments that transform defense simulations surface deeper insights, with applications ranging from analytic wargames to immersive training.

ISSAC Corphttps://www.issaccorp.com/ – ISSAC Corp is focused on finding the hidden stories in complex datasets and creating automation to allow analyst to optimize the use of stream­ing and historic data. ISSAC provides advanced system of systems engi­neering solutions and are developing a life cycle Digital Engineering tool to enable data sharing and engineering design refinement for the entirety of a platforms life cycle. In addition, their modular approach to Artificial Intelligence solutions enables rapid workflow tailoring, customer flexibil­ity as needs evolves, and a smart process for advancing the art of knowl­edge discovery as technology advances.

Kayhan Spacehttps://www.kayhan.space/ – Kayhan Space is a software analytics platform focused on satellite con­junction assessment, collision avoidance, and space object tracking and navigation. Kayhan brings together an incredible team of astrodynamics and software engineers with many years of experience supporting NASA and JPL missions, as well as building enterprise software. They also bring automation to an otherwise manual and time-consuming process. By do­ing so, they save time and money for satellite operators, and most impor­tantly ensure mission safety.

Synaptechhttps://www.synaptech-usa.com/ – Synaptech has quickly become a leading small business provider of mod­eling, simulation, and analysis (MS&A) expertise and a developer of inno­vative software and analytical solutions for the Space Defense Industry. Synaptech operates with speed and agility to quickly integrate people, processes, and technologies to solve their customer’s most challenging problems on an operationally relevant timeline. Synaptech’s multi-disci­plinary team of engineers, scientists, analysts, mathematicians, and de­signers are committed to protecting the freedom that our nation enjoys and creating a better tomorrow for future generations.

Vermeerhttps://www.getvermeer.com/ – Vermeer specializes in a leading-edge suite of AR mission planning tools and autonomous sUAS mission execution for both DoD and commercial customers. From their expertise from years of piloting drones on the sets of blockbuster Hollywood films, they built Vermeer as an internal tool for pre-mission planning and visualization. Today, Vermeer is capable of integrating into any autonomous platform, from sUAS to satellites.

The Digital Engineering/Modeling and Simulation Accelerator was made possible with the support of AFRL/RV, the U.S. Space Force, and the generous support from Corporate Sponsor, Lockheed Martin, and Demo Day Sponsor, LinQuest Corporation.

About Catalyst Accelerator

The Air Force Research Laboratory Space Vehicles Directorate and United States Space Force’s Catalyst Accelerator is a NewSpace-focused defense and national security industry accelerator, headquartered on the Catalyst Campus for Technology and Innovation (CCTI) in Colorado Springs, Colorado. CCTI is a collaborative ecosystem where industry, small business, entrepreneurs, startups, government, academia, and investors intersect with Colorado’s aerospace and defense industry to create community, spark innovation, and stimulate business growth. The Catalyst Accelerator is a collaborative program hosted by Catalyst Campus for Technology and Innovation (CCTI, a Colorado 501(c)3) in partnership with the United States Space Force, and the Air Force Research Laboratory to provide a robust, mentor-driven curriculum for accelerator teams. 

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Artificial Intelligence

PolyU research finds improving AI large language models helps better align with human brain activity

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HONG KONG, May 27, 2024 /PRNewswire/ — With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study by The Hong Kong Polytechnic University (PolyU) found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.

Current large language models (LLMs) mostly rely on a single type of pretraining – contextual word prediction. This simple learning strategy has achieved surprising success when combined with massive training data and model parameters, as shown by popular LLMs such as ChatGPT. Recent studies also suggest that word prediction in LLMs can serve as a plausible model for how humans process language. However, humans do not simply predict the next word but also integrate high-level information in natural language comprehension. 
A research team led by Prof. Li Ping, Dean of the Faculty of Humanities and Sin Wai Kin Foundation Professor in Humanities and Technology at PolyU, has investigated the next sentence prediction (NSP) task, which simulates one central process of discourse-level comprehension in the human brain to evaluate if a pair of sentences is coherent, into model pretraining and examined the correlation between the model’s data and brain activation. The study has been recently published in the academic journal Sciences Advances.
The research team trained two models, one with NSP enhancement and the other without, both also learned word prediction. Functional magnetic resonance imaging (fMRI) data were collected from people reading connected sentences or disconnected sentences. The research team examined how closely the patterns from each model matched up with the brain patterns from the fMRI brain data.
It was clear that training with NSP provided benefits. The model with NSP matched human brain activity in multiple areas much better than the model trained only on word prediction. Its mechanism also nicely maps onto established neural models of human discourse comprehension. The results gave new insights into how our brains process full discourse such as conversations. For example, parts of the right side of the brain, not just the left, helped understand longer discourse. The model trained with NSP could also better predict how fast someone read – showing that simulating discourse comprehension through NSP helped AI understand humans better.
Recent LLMs, including ChatGPT, have relied on vastly increasing the training data and model size to achieve better performance. Prof. Li Ping said, “There are limitations in just relying on such scaling. Advances should also be aimed at making the models more efficient, relying on less rather than more data. Our findings suggest that diverse learning tasks such as NSP can improve LLMs to be more human-like and potentially closer to human intelligence.”
He added, “More importantly, the findings show how neurocognitive researchers can leverage LLMs to study higher-level language mechanisms of our brain. They also promote interaction and collaboration between researchers in the fields of AI and neurocognition, which will lead to future studies on AI-informed brain studies as well as brain-inspired AI.”
Media ContactMs Annie WongSenior Manager, Public AffairsTel: +852 3400 3853Email: [email protected] 

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VivaTech 2024: a record-breaking event

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PARIS, May 27, 2024 /PRNewswire/ — VivaTech 2024 broke records with more than 165,000 visitors over four days, a 10% increase over 2023. The event welcomed 13,500 start-ups, a 20% increase over the previous year.

A BUSINESS AND FINANCE ACCELERATOR
VivaTech has established itself as a key business event, generating more than 400,000 online business connections this year. Startups forged business relationships with companies from 25 sectors and met over 2,000 investors.
VIVA TECHNOLOGY CONFIRMS ITS INTERNATIONAL APPEAL
The event attracted representatives from more than 120 countries and 40 national pavilions. Japan, the country of the year, showcased its ecosystem with a ministerial delegation and more than 40 startups. Africa was also in the spotlight with the Africa Tech Lab and the AfricaTech Awards, honouring innovative startups such as Schoolz, Rology and Inclusivity Solutions.
AI AND SUSTAINABLE TECH AT THE HEART OF THE PROGRAMME
VivaTech 2024 showcased the latest advances in artificial intelligence, with nearly 40% of exhibitors dedicated to this technology. Sustainable tech was also in the spotlight, especially through the Impact Bridge, a space dedicated to initiatives for a sustainable future. VivaTech’s environmental efforts were rewarded with ISO 20-121 certification.
DIVERSITY MORE THAN EVER IN VIVATECH’S DNA 
Diversity took centre stage where over 40% of speakers were women. Among the most notable initiatives, the Female Founder Challenge rewarded Albane Dersy from Inbolt. At the same time, Femtech France took advantage of the event to launch its second Femtech industry barometer.
THE MEETING PLACE FOR REVEALS, EXCLUSIVITIES AND INNOVATIONS
For four days, VivaTech was the scene of numerous revelations, with some fifty worldwide or European exclusives unveiled. Among these, Tesla’s Cybertruck made its first appearance in France, marking a highlight of the event.
INTERNATIONAL SPEAKERS
VivaTech 2024 consolidated its position as the must-attend technology event with over 400 international speakers sharing their visions on AI and sustainable tech. Speakers included Elon Musk, John Kerry, Eric Schmidt, Arthur Mensch, Robin Li, Linda Yaccarino and Serena and Venus Williams. Institutional figures such as Fumio Kishida, Bruno Le Maire and Thierry Breton also took an active part in the debates.
WE LOOK FORWARD TO SEEING YOU FROM 11 TO 14 JUNE 2025 AT PARIS PORTE DE VERSAILLES!
Contact: [email protected]
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Only Much Louder’s AI-powered influencer marketing tech, Hypothesis, expands globally, to empower brands to connect with international creators

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OML Entertainment’s Hypothesis is targeting the Asia–Pacific Region, Middle East, Africa, and USA by 2025.Hypothesis will open borders for brands and agencies, facilitating a region-agnostic global platformMUMBAI, India, May 27, 2024 /PRNewswire/ — Only Much Louder’s AI-powered influencer marketing tech, Hypothesis, expands its global footprint, after revolutionizing the Indian influencer market. In the first phase, Hypothesis will be available in the Asia–Pacific region (Singapore, Australia, Malaysia, Philippines, Vietnam, Thailand), Middle Eastern countries (Abu Dhabi, GCC nations, Egypt, Lebanon, Saudi Arabia, Kuwait, Qatar) as well as in Africa (Kenya, Nigeria, South Africa) and the USA.

Himani Agrawal, Senior Vice President, Hypothesis-OML, said, “At Hypothesis, we’re proud to offer a comprehensive kit for creator evaluation using 100+ data points. We provide the ultimate tool for your marketing arsenal. This is made even more convenient with our self-serve mode, empowering brands to initiate impactful influencer campaigns independently.”
Hypothesis streamlines data-driven influencer marketing globally, after recognising a critical disconnect between creator technology and services. Hypothesis was created with an inherent potential to serve a global audience, by empowering brands and agencies to transcend geographical limitations and unite discovery, outreach, and analytics in a single, user-friendly platform. This will accelerate the growth of the creator economy, creating opportunities for creators and brands.
Gunjan Arya, CEO of OML Entertainment, said, “We will be closely monitoring the milestones of Hypothesis to infiltrate the markets at the rate of 5–10% in the first year. We will also keep an eye on the acquisition rate, which is aimed to rise by 15–20%. Besides, we seek to derive over 35% of revenue from our global expansion efforts.”
With Hypothesis, OML is strategizing to expand into markets like Australia, the Asia–Pacific, the Middle East, and Africa, due to the region’s influencer marketing industry, which stands at 33.4% CAGR. Regions like the USA and the MENA have emerged as key players that are driven by advanced technologies and demand for data analytics.
Leveraging OML’s successful presence in Southeast Asia, the Middle East, Africa, and Eastern Europe, Hypothesis is set for a smooth rollout. OML’s established network, combined with their in-house expertise, will provide a strong foundation for this endeavor.
For details, visit hyp.io
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