Lifeboat Foundation

Today, technical decision-makers at companies, whether big or small, try to look for flexible ways to speed up application development and ensure long-term scalability for their engineering teams. Configuring solutions such as AWS requires a team of in-house experts, which is expensive and takes time to build. In fact, more than 77% of all tech companies run into DevOps challenges across the board, including cost, risks, security, optimization of the deployment pipeline, and scaling.

San Francisco-based Zeet, a platform that solves DevOps challenges and accelerates application deployment for startups, has raised $2 million in a seed round of funding led by venture capital firm Race Capital. The company plans to use the funding, which also saw participation from GGV Capital, Founders Inc, and multiple engineering leaders, to build out its teams across areas ranging from engineering to marketing and meet growing demand from customers.

Founded in 2020 by Johnny Dallas and Zihao Zhang, Zeet strives to tackle these bottlenecks through automation. The solution connects to a cloud account and automates traditionally manual DevOps tasks, allowing a team to quickly go from code to a scalable application.

The integration of AI into devices will improve the efficiency, security, and speed of data analytics. Edge AI is the future of data.

A number of four-legged robot dogs made by companies like Boston Dynamics, Anybotics and Ghost Robotics have been deployed in the workforce already for applications like inspections, security and public safety among others. At their core, these four-legged robots are mobility platforms that can be equipped with different payloads depending on the type of information that companies want to gather.

Experts predict the insurance industry alone will spend $1.7 billion on robotics systems in 2025. And other industries may follow suit. Amid the pandemic, a tight job market is forcing many companies to turn to automation. A survey done in December of 2020 by McKinsey, showed that 51 percent of respondents in North America and Europe said they had increased investment in new technologies during 2020, not including remote-work technologies.

Continue reading “The Rise Of The Robotic Working Dog” »

A blog from the world class Intelligence Group, Talos, Cisco’s Intelligence Group.

Quantum effects in superconductors could give semiconductor technology a new twist. Researchers at the Paul Scherrer Institute PSI and Cornell University in New York State have identified a composite material that could integrate quantum devices into semiconductor technology, making electronic components significantly more powerful. They publish their findings today in the journal Science Advances.

Our current electronic infrastructure is based primarily on semiconductors. This class of materials emerged around the middle of the 20th century and has been improving ever since. Currently, the most important challenges in semiconductor electronics include further improvements that would increase the bandwidth of data transmission, energy efficiency and information security. Exploiting quantum effects is likely to be a breakthrough.

Quantum effects that can occur in superconducting materials are particularly worthy of consideration. Superconductors are materials in which the electrical resistance disappears when they are cooled below a certain temperature. The fact that quantum effects in superconductors can be utilized has already been demonstrated in first quantum computers.

While AI can provide real-time analysis of enormous amounts of data, an AI system coupled with blockchain technology can provide a transparent data governance model for quicker validation amongst various stakeholders through smart contracts and DAOs.

Blockchain benefits can address AI’s shortcomings

Applying the benefits of blockchain technology can help address various shortcomings of AI and help in increasing people’s trust in AI-based applications. With Blockchain, AI applications acquire the qualities of decentralization, distributed data governance, data immutability, transparency, security, and real-time accountability. Many AI-enabled intelligent systems are criticized for their lack of security and trust levels. Blockchain technology can essentially help in addressing the security and trust deficit issues to a significant extent. Enormous challenges remain for both blockchain technology and Artificial Intelligence. Still, when combined, they display tremendous potential and will complement each other to restore the trust factor and improve efficiency at large.

Italian company FlyingBasket has reached an important milestone for the future of urban air mobility (UAM), performing the first urban area flight operation in the Italian city of Torino (Turin). The flight was part of a logistic demonstration in collaboration with Leonardo, an Italian global high-technology company, among the top world players in Aerospace, Defense, and Security, and Poste Italiane, the Italian postal service provider.

FlyingBasket’s FB3 eVTOL cargo drone with 100 kg payload capability has been in commercial operation for a year now since it received the first operational authorization to perform complex logistic missions in sparsely populated areas. During the demonstration, two FB3 heavy lift drones transported delivery packages over the Stura di Lanzo river. One drone with a cargo compartment and another with a sling payload carried 26 Kg each over a 3.9 Km distance to the destination (total flight 7 Km).

The sling payload with a cargo hook makes convenient delivery possible without the need for landing infrastructure whereas, the cargo compartment is designed to facilitate easier cargo handling, keeping it more protected from the elements during the flight. The demonstration set out a compelling instance for beyond pilots’ visual line of sight, or BVLOS flights in the advanced air mobility (AAM) context. The objective of the operation was to demonstrate the fast, efficient, and safe use of heavy-lift UAVs for freight hauling – in this instance, above a major urban center for the first time ever in Italy.

SEOUL, South Korea — Malaysia is developing a national space blueprint to drive the growth of its space sector, particularly the manufacturing of remote-sensing satellites, satellite components and data-driven downstream services.

During a Dec. 13 parliamentary hearing, a deputy minister shared the latest update on the “Malaysia Space Exploration 2030” blueprint being fleshed out by Malaysia’s Ministry of Science, Technology and Innovation.

The deputy minister overseeing the effort, Datuk Ahmad Amzad Hashim, said the blueprint outlines a 10-year strategy in line with Malaysia’s National Space Policy 2030. The policy, adopted in 2017, recognizes the importance of space technologies for the country’s economic growth and national security.

The accelerated growth in ecommerce and online marketplaces has led to a surge in fraudulent behavior online perpetrated by bots and bad actors alike. A strategic and effective approach to online fraud detection will be needed in order to tackle increasingly sophisticated threats to online retailers.

These market shifts come at a time of significant regulatory change. Across the globe, new legislation is coming into force that alters the balance of responsibility in fraud prevention between users, brands, and the platforms that promote them digitally. For example, the EU Digital Services Act and US Shop Safe Act will require online platforms to take greater responsibility for the content on their websites, a responsibility that was traditionally the domain of brands and users to monitor and report.

Can AI find what’s hiding in your data? In the search for security vulnerabilities, behavioral analytics software provider Pasabi has seen a sharp rise in interest in its AI analytics platform for online fraud detection, with a number of key wins including the online reviews platform, Trustpilot. Pasabi maintains its AI models based on anonymised sets of data collected from multiple sources.

Continue reading “Why AI is the future of fraud detection” »