The Trump administration is prioritizing the critical role of artificial intelligence in creating and upholding freedom. Just three weeks in, Vice President JD Vance declared at a global AI summit in Paris that AI "will make people more productive, more prosperous, and more free. The United States of America is the leader in AI, and our administration plans to keep it that way." To achieve this, the White House is working toward an AI action plan and calling on leading American AI companies to submit our best ideas. OpenAI is pleased to submit proposals today on a range of important considerations for AI from national security, to infrastructure and energy, to the federal government's own use of AI.

The integration of artificial intelligence, especially large language models in robotics, has led to rapid advancements in the field. We are now observing an unprecedented surge in the use of robots in our daily lives. The development and continual improvements of robots are moving at an astonishing pace. Although these remarkable improvements facilitate and enhance our lives, several security and privacy concerns have not been resolved yet. Therefore, it has become crucial to address the privacy and security threats of robotic systems while improving our experiences. In this paper, we aim to present existing applications and threats of robotics, anticipated future evolution, and the security and privacy issues they may imply. We present a series of open questions for researchers and practitioners to explore further.

CEO of Codeproof, a cybersecurity firm that specializes in providing easy-to-use, modern mobile device management software to businesses. As 2023 begins, businesses must anticipate and prepare for evolving cybersecurity trends and threats. The increase in remote work, cloud usage, AI and the IoT expands the attack surface, making it imperative to stay alert. They should also educate employees on identifying risks and cybersecurity practices, as well as maintaining strong password hygiene. Phishing uses fake websites to obtain personal information.

The accelerated pace of digital transformation during the pandemic shows no signs of abating, with organisations racing to get ahead of the game Time has shown the companies who embraced and took advantage of the digital opportunities of the changing world succeeded, and those who couldn’t were often left to flounder.   Scaling digital operations to work faster and more efficiently has gone far past the point of relying on humans: we’re slow, and costly to run. Instead, automation is leading the way to delivering better outcomes for customers, and better workplaces for employees. Robotic Process Automation (RPA) in particular

Companies are pursuing digital transformation at an unprecedented rate, propelled often by the innovation enabled by edge computing. Aware of the limitations of legacy systems and cloud computing, businesses are looking to leverage edge devices to harness data, streamline operations, and run complex workloads in a flexible, fast and resilient way. The data reflects this story. Recent estimates forecast that there will be 27 billion connected IoT devices by 2025 (IoT Analytics 2022). Demand is being driven by strong appetite from particular sectors, such as automotive, telco, manufacturing and retail, where optimized supply chains and advanced automation have outsized impact.

The world is experiencing interesting times with connected devices redefining how human beings interact with the ecosystem. In this context, innovation in the automotive industry is particularly noteworthy, with connected vehicles becoming equipped for varying degrees of autonomous driving. Their popularity will only continue to grow in the near future with an expected market size of $469 billion (Rs 36,61,952 crore) in 2030. To deliver the expected quality of service, modern connected vehicles mostly rely on cloud-based architecture built on 5G technology. Vehicular communication is enabled by Vehicle-to-Everything (V2X) technologies such as Cellular Vehicle-to-Everything (C-V2X) and Dedicated Short-Range Communication (DSRC) based on the IEEE 802.11p system, which aggregate information across network drop points.

In early 2021, Americans living on the East Coast got a sharp lesson on the growing importance of cybersecurity in the energy industry. A ransomware attack hit the company that operates the Colonial Pipeline--the major infrastructure artery that carries almost half of all liquid fuels from the Gulf Coast to the eastern United States. Knowing that at least some of their computer systems had been compromised, and unable to be certain about the extent of their problems, the company was forced to resort to a brute-force solution: shut down the whole pipeline. Leo Simonovich is vice president and global head of industrial cyber and digital security at Siemens Energy. The interruption of fuel delivery had huge consequences.

Many organizations are experimenting with IoT deployments, ranging from automation systems and sensor networks to critical connected healthcare solutions, connected vehicles, and industrial robotics. Such deployment scenarios can automate device management, improve efficiencies and reduce operational costs, while improving the customer experience. Opportunities exist in every business sector, and early adopters are racing to secure a first-move advantage. However, IoT brings several security challenges with far-reaching consequences. These challenges differ from those present in more conventional technology infrastructures.

Investing in new digital technology to drive healthcare transformation is big business these days and much of this effort is being directed toward artificial intelligence (AI) platforms. One industry analysis suggests a 40% annual global growth rate in AI investment through to 2021 and the number of companies offering healthcare-specific applications is growing by the day. However, even with these impressive predictions, you can't discuss digital investment without also considering how it will deliver value in various forms (cost, productivity, outcomes, etc.) and for various audiences (patients, care providers, insurers, etc.) In fact, the health and life sciences industry is undergoing a radical shift towards value-based outcomes – maximizing patient health outcomes per dollar spent. This begs a vital question: How do we ensure that any investment in healthcare AI provides the best possible value?

In the past few years, developments in technology have brought us closer to the hyper-connected world that futurologists imagined in the 1950s. Self-driving cars, computers that can converse in real-time and hyperloop transportation are among the developments that will shape our future beyond what we thought possible. Of all the major trends, the Internet-of-Things (IoT) is making the most visible and immediate impact and will be worth $270 bln by 2020. Connected devices, homes and vehicles are just around the corner, and as anyone with experience in the technology industry knows, this means a lot of second-order complexity will have to be solved. Economies, platforms and payment systems will have to be integrated.