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AAAI Announces New President-Elect and New Executive Council Members for 2022

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PALO ALTO, Calif., July 28, 2022 (GLOBE NEWSWIRE) — AAAI is pleased to announce that Stephen Smith (Carnegie Mellon University, USA) has been elected to serve as the next President-Elect. He will serve in that role for two years, beginning in July, and will then serve as President for two years, followed by two years as Past President.

When notified of his election, Smith commented, “It is a great honor for me to serve as AAAI’s next President-Elect. I’m excited for the opportunity to help AAAI steer the AI research enterprise forward and looking forward to the challenge.”

Francesca Rossi, who took over as President in July, noted, “I am very happy that the AAAI community has chosen Stephen as the next president. His experience on AI publications and his long service to AAAI will facilitate, support, and accelerate AAAI’s activities towards a more impactful association. Looking forward to working with him!”

AAAI established the three stages of Executive leadership to ensure continuity and support, even as the role of the President changes every two years. The President acts as the principal executive officer of AAAI, with assistance from the Past President, President-Elect, and Secretary-Treasurer. The Past President also presides over the Nominating Committee, the Fellows Committee, and several Awards Committees.

Smith joins the AAAI Presidency with significant leadership experience at both AAAI and other AI organizations. He is a Research Professor of Robotics at Carnegie Mellon University. He received a BS Degree in Mathematics from Westminster College, and MS and Ph.D. Degrees in Computer Science from the University of Pittsburgh. Prof. Smith’s research focuses broadly on the theory and practice of next-generation technologies for automated planning, scheduling, and control of large multi-actor systems. He pioneered the development and use of constraint-based search and optimization models for solving planning and scheduling problems and has successfully fielded AI-based planning and scheduling systems in a range of application domains. He is an AAAI Fellow, has several best paper awards and received the 2018 Robert S. Engelmore Memorial Lecture Award. Prof. Smith has a long record of service to the AI research community. He was a founding member of the executive council of ICAPS, served as program chair for ICAPS-06 and general chair of ICAPS-17, and he has served on the PC, SPC, as Area Chair and on conference organizing committees for AAAI, IJCAI, ICAPS, AAMAS, and NeurIPS. He was a AAAI Councilor from 2014-2017 and has since continued as a member of the AAAI Executive Council, where he has overseen the transition of AAAI Press to a new set of publishers as Chair of the Publications Committee.

AAAI would also like to thank Yolanda Gil – AAAI President 2018-2020 and Past President 2020-2022 – for their tremendous donation of time and energy during the last six years of service as an officer on the Executive Committee. 

Gil said, “It has been my privilege to serve the AI community and work with AAAI members to create a 20-year roadmap for AI research, establishing strong initiatives for broadening participation in AI, and increasing the visibility and reach of AI education activities.”

Regarding Smith’s election, Gil added, “After collaborating with Steve on planning research for many years, I had a chance to work with him on the AAAI Council and eventually I asked him to lead the AAAI Publications Committee to oversee the transition of AAAI Press. He brings incredible creativity and energy to all endeavors. AAAI is in great hands.”

In addition to the new President-Elect, AAAI is pleased to announce the four incoming Councilors elected to three-year terms:

Maria Chang (IBM Research, USA)
Kristian Kersting (Technical University of Darmstadt, Germany)
Jihie Kim (Dongguk University, South Korea)
Anita Raja (The City University of New York, USA)

Bart Selman, who has served as AAAI’s President since 2020 and who will now be transitioning to the role of Past President, commented on the new Executive Council, saying: “We are excited to welcome our new council members. They represent a broad range of expertise and will push us into new directions.”

The new President-Elect and Councilors were installed at the July meeting of the Executive Council. AAAI congratulates all the new members of the AAAI Executive Council.

Finally, we thank the four retiring Councilors for their dedicated service and generous donations of time: Yiling Chen (Harvard University, UDA), Judy Goldsmith (University of Kentucky, USA), Odest Chadwicke Jenkins (University of Michigan, USA), Brian Scassellati (Yale University, USA).

The eight councilors elected in 2020 and 2021 will continue their terms of service during the coming year. For a complete list of current officers and councilors, please refer to http://www.aaai.org/Organization/officers.php

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About the Association for the Advancement of Artificial Intelligence

Founded in 1979, the Association for the Advancement of Artificial Intelligence (AAAI) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI aims to promote research in and responsible use of artificial intelligence and increase public understanding of the field. For more information, see www.aaai.org.

Media Contact
(for press inquiries only)

Meredith Ellison
AAAI
1900 Embarcadero Road, Suite 101
Palo Alto, CA 94303, USA
[email protected]

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Artificial Intelligence

Borderless AI and Nium Transform Employer of Record Business with Real-Time Cross-Border Payments

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Strategic alliance will allow for employers to seamlessly pay employees and contractors in 100 currencies across more than 190 countries
TORONTO, May 1, 2024 /PRNewswire/ — Today, Borderless AI, a leading Employer of Record (EOR) services provider, announced its strategic partnership with Nium, the global leader in real-time, cross-border payments, aiming to revolutionize cross-border payments in the EOR industry. This collaboration marks a significant milestone in enhancing efficiency, transparency, and speed in global employment and payroll solutions.

The traditional EOR process often faces delays and inefficiencies in cross-border payments, leading to administrative bottlenecks and hindered business operations. With Nium’s cutting-edge technology integration, Borderless AI is able to streamline operations, offering faster, more efficient, and secure payment solutions. This enables organizations to confidently navigate international complexities, seamlessly pay employees and contractors, and manage remote teams more efficiently.
Nium’s advanced payment infrastructure and global network facilitate seamless fund transfers across borders, eliminating intermediaries and significantly reducing transaction times. Borderless AI can now provide clients with instant transfer of funds through Nium’s platform, enabling efficient management of payroll, taxes, expenses, and financial obligations across more than 190 countries.
“Our collaboration with Nium represents a significant leap in delivering multi-country payroll and unmatched value to our customers,” said Willson Cross, CEO of Borderless AI. “By leveraging Nium’s innovative technology, we empower businesses to efficiently manage their global workforce while ensuring timely and secure cross-border payments.”
Some benefits derived by organizations like Affiniti Finance and MG2 Corporation include:
Faster and more affordable cross-border payments.Worldwide access to 190+ countries and 100 currencies, with funds available real-time in 100 markets.Helps scale globally in a compliant manner, by adhering to local regulations and maintaining robust security measures.”Borderless AI is contributing to the changing Employer of Record industry and we are excited to be a part of their journey,” said Prajit Nanu, CEO and Co-founder of Nium. “By integrating our real-time cross-border payment solutions with Borderless AI’s EOR expertise, we empower businesses to transcend geographical barriers and unlock new opportunities for growth.”
In conjunction with this partnership and to strengthen its industry expertise, Borderless AI is officially announcing the addition of Rajesh Venkatesh as Chief Payments Officer and Umesh Maini as Chief Product Officer to its executive team. Both leaders bring invaluable experience from the global payments space. Venkatesh previously served as Chief Product Officer at Nium and worked as a payments executive for a combined 15 years at PayPal and eBay. Maini previously served as Chief Product Officer at Buckzy  – a cross-border payments network and embedded finance platform – and has worked as a payments executive at Western Union and TD Bank.
This strategic alliance underscores Borderless AI and Nium’s shared commitment to innovation and excellence in global employment solutions, paving the way for businesses to navigate cross-border operations efficiently and unlock new growth possibilities. For more information, visit us here.
About Borderless AI:Borderless AI is a global payroll solution that leverages the power of generative AI to automate and speed up the process of onboarding, managing, and paying international team members. With Borderless AI, businesses can compliantly hire and manage talent worldwide without establishing a foreign entity while alleviating the complexities and risks associated with hiring global employees. With a focus on innovation and customer service, Borderless AI developed Alberni, the world’s first AI agent for global HR. Alberni uses conversational AI to simplify global employment tasks from contract creation to expense management. The company is headquartered in Toronto, Canada, and has raised $27 million in seed funding to date, backed by Susquehanna and Aglaé Ventures.
About Nium:Nium, the leader in real-time, cross-border payments, was founded on the mission to deliver the global payments infrastructure of tomorrow, today. With the onset of the global economy, its payments infrastructure is shaping how banks, fintechs, and businesses everywhere collect, convert, and disburse funds instantly across borders. Its payout network supports 100 currencies and spans 190+ countries, 100 of which in real-time. Funds can be disbursed to accounts, wallets, and cards and collected locally in 35 markets. Nium’s growing card issuance business is already available in 34 countries. Nium holds regulatory licenses and authorisations in more than 40 countries, enabling seamless onboarding, rapid integration, and compliance – independent of geography. The company is co-headquartered in San Francisco and Singapore.
Media ContactInkhouse for Borderless [email protected]
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Appdome Unveils World’s First Agentless Mobile EDR & MTD

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Appdome MobileEDR™ removes complexity and friction with new unified Enterprise Mobile Endpoint Detection and Response and Mobile Threat Defense Solution
REDWOOD CITY, Calif., May 1, 2024 /PRNewswire/ — Appdome, the mobile app economy’s one-stop shop for mobile app defense, today announced Appdome MobileEDR™, a new enterprise mobile app protection service that consolidates Mobile Threat Defense (MTD) and Endpoint Detection & Response (EDR) capabilities into a single agentless product offering. MobileEDR leverages the 300+ defenses of the Appdome platform and provides real-time mobile threat and attack detection, deep mobile device inspection and anywhere enforcement to keep enterprise networks and resources safe from malware, supply chain and other attacks.

Legacy MTD and mobile EDR solutions have failed to adequately protect against the growing proliferation of mobile threats. To work, these early offerings required user-dependent software agents, such as separate mobile apps or profiles, to be installed on the user’s mobile device(s). These added agents, apps and profiles raised privacy concerns among employees, slowed adoption and could be disabled by the mobile end user, leaving gaps in device inspection and mobile threat detection.  Likewise, these early offerings often impose a manual implementation burden and complex SDKs on resource constrained mobile development teams, leading most teams to shelve or abandon MTD and mobile EDR deployment. Appdome is eliminating this friction and delivering the world’s first agentless, no code, no server solution for enterprise mobile apps to ensure maximum enterprise adoption and protection.
“Mobile EDR and threat detection solutions have failed to gain wide adoption for several reasons – privacy concerns and compliance, implementation complexity of SDKs, and lack of mobile end-user trust with MTD apps and agents on their BYOD devices,” said Richard Stiennon Chief Research Analyst with IT-Harvest. “The Appdome approach gives organizations the full power of Mobile EDR and MTD, including protection, response, and visibility without the friction of SDK, server, and agent-based approaches.”
The Appdome MobileEDR is an in-app mobile EDR and MTD solution coded into enterprise mobile applications by Appdome’s patented no-code, unified mobile app defense platform. By delivering the needed device inspection, threat detection and telemetry capabilities in the mobile app itself, Appdome provides continuous and comprehensive monitoring of Android and iOS devices, including mobile smartphones, embedded apps, VR apps, and wearable apps. All mobile threat inspections are performed throughout the lifecycle of use for each mobile app, without any server, server call outs or other external attestation. This ensures full runtime protection, improves stability and responsiveness, and eliminates signal spoofing common with server attestation services. 
“We’ve built the first mobile EDR/MTD solution that addresses the reality of how organizations need to detect and respond to mobile threats in the enterprise,” said Tom Tovar, co-creator and CEO of Appdome. “SolarWinds taught all of us that malware on a mobile device can compromise an enterprise network and to protect the enterprise network, you need broad adoption and persistence in your mobile EDR/MTD solution. It does no good if it’s not used or it can be turned off.”
Key features of Appdome MobileEDR solution include:
In-App Enterprise Delivery: Appdome MobileEDR is the only solution that can be deployed in both internally developed and 3rd party mobile applications without any code, coding, SDKs or servers. All mobile EDR/MTD capability is added in the enterprise application and hardened against reverse engineering and attacks by design.In-Use Mobile Threat Inspection:  Once embedded in an enterprise mobile app, Appdome’s Threat-EKG feature functions as a persistent mobile EDR/MTD solution during the lifecycle of use for each mobile application. That means, it operates when the enterprise mobile application is in use (and does not operate when it’s not in use). This eliminates any privacy concerns and allows the mobile EDR/MTD to detects mobile threats relevant to the enterprise business in real time.Broadest Mobile Threat Detection: Appdome packs 300+ mobile app security, anti-malware, anti-spyware, anti-vishing, anti-fraud, social engineering, geo-compliance, and anti-bot defenses into MobileEDR to offer enterprises the most comprehensive mobile device inspection, EDR and MTD on the market. Anywhere Enforcement: The Appdome MobileEDR’s Anywhere Enforcement™ model allows enterprises to use mobile threat detection and defense data across the entire enterprise infrastructure, including the mobile app, mobile app server, IAM service layer, UEM/MAM/MDM, or firewall/WAF. This ensures that enterprises can get the full benefit of deep device inspection on managed and unmanaged mobile devices.Adaptive Mobile Trust: Appdome MobileEDR is the only mobile threat detection and defense system that empowers the enterprise to set the level of trust to use in evaluating on-device mobile threats. Enterprises can use either Zero-Trust, to ensure the device is free of any specific threat before allowing connection, login or activity in the mobile app. Or, Enterprises can use Dynamic Trust which evaluates the device state dynamically throughout the lifecycle of mobile app use.Appdome ThreatSource™: Appdome MobileEDR comes ready to use with application userID or sessionID to give enterprises even deeper investigation and telemetry on threats and attacks impacting their users and network.Appdome ThreatScope™ Mobile XDR: Telemetry data is visualized in ThreatScope, which provides instant visibility and rapid, agile response to any threat or attack against Android & iOS apps.”Enterprises need more flexible and agile ways to stay ahead of mobile threats, malware, NSOs, and protect their employees and networks effectively,” said Chris Roeckl, Chief Product Officer at Appdome. “MobileEDR is the only mobile EDR and MTD that goes beyond the basic device inspection to include geo-compliance, social engineering defenses and more. We can’t wait to get this product into the hands of enterprises everywhere.”
Appdome will be demonstrating the new Appdome MobileEDR solution at the RSA Conference 2024 in San Francisco May 6-9, 2024 in booth #2339. For more information about Appdome MobileEDR, please visit our web site at https://www.appdome.com/enterprise-mobile-app-security/mobile-endpoint-detection-and-response/.  
About AppdomeThe Appdome mission is to protect every mobile app and mobile user in the world. . Appdome provides the mobile industry’s only Unified Mobile App Defense platform, powered by a patented mobile coding engine, Threat-Events™ Threat-Aware UX/UI Control, and ThreatScope™ Mobile XDR. Using Appdome, mobile brands eliminate complexity, ship faster and save money by delivering 300+ Certified Secure™ mobile app security, anti-malware, anti-fraud, mobile anti-bot, anti-cheat, geo compliance, MiTM attack prevention, code obfuscation, social engineering and other protections in Android and iOS apps with ease, inside the mobile DevOps and CI/CD pipeline. Leading financial, healthcare, government and m-commerce brands use Appdome to protect Android and iOS apps, mobile customers and mobile businesses globally. Appdome holds several patents including U.S. Patents 9,934,017 B2, 10,310,870 B2, 10,606,582 B2, 11,243,748 B2 and 11,294,663 B2. Additional patents pending.
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Artificial Intelligence

Cloud Orchestration and AI Innovation Fuel Asia Pacific’s Emergence as Premier Hub for Next-Generation Data Center Sites

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SINGAPORE, May 1, 2024 /PRNewswire/ — The acceleration of digital transformation initiatives such as hybrid cloud deployments, Artificial Intelligence (AI) and Machine Learning (ML) solutions, and the implementation of the Internet of Things (IoT) at the edge network continues to generate usage and demand for next-generation data centers. According to global technology intelligence firm ABI Research, next-generation colocation data centers will reach 7,640 sites by 2030, growing at a Compound Annual Growth Rate (CAGR) of 6.8%.

Data centers will continue playing an integral role in driving enterprises’ digital operations. “Deployment of cloud-based solutions remains a top agenda for many enterprises, necessitating the demand for data centers. The rise of edge-to-cloud data management orchestration solutions increases the benefits of running workloads through a robust and well-equipped data center,” says Yih-Khai Wong, Distributed and Edge Computing Senior Analyst at ABI Research.
Data centers are undergoing a transformation phase. “This is necessary as data and workloads are getting more complex, requiring higher processing capabilities. We are seeing an increasing demand for mega and large data center sites that can support AI/ML workloads, including generative AI,” Wong explains.
Asia Pacific (excluding China) will host the largest number of colocation sites by 2030, accounting for 28% of total colocation sites worldwide. Europe is the second largest region with 27%, while North America is third with 24%. This represents a shift compared to 2023, when Europe had the most colocation sites, with 31% of total sites, followed by North America with 27%, and the Asia Pacific (excluding China) with 22%.
“The emergence of generative AI has also boosted demand for next-generation data center capabilities. The processing of large language models (LLMs) will require a tremendous amount of data processing power and excellent network connectivity. Data center operators will have to ensure that current and future data center sites can meet the requirements generated from new technologies,” Wong concludes.
These findings are from ABI Research’s Next-Generation Data Center Forecasts market data report. This report is part of the company’s Distributed and Edge Computing research service, which includes research, data, and ABI Insights.
About ABI Research
ABI Research is a global technology intelligence firm delivering actionable research and strategic guidance to technology leaders, innovators, and decision makers around the world. Our research focuses on the transformative technologies that are dramatically reshaping industries, economies, and workforces today.
ABI Research是一家国际科技情报公司,为全球科技领袖、创新人士和决策者提供实用的市场研究和战略性指导。我们密切关注一切为各行各业、全球经济和劳动市场带来颠覆性变革的创新与技术。
For more information about ABI Research’s services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe, +65.6592.0290 in Asia-Pacific, or visit www.abiresearch.com.
Contact Info:GlobalDeborah Petrara Tel: [email protected] 
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