Large Language Models (LLMs) have shown remarkable performance improvements and are rapidly gaining adoption in industry. However, the methods for improving LLMs are still designed by humans, which restricts the invention of new model-improving algorithms to human expertise and imagination. To address this, we propose the Self-Developing framework, which enables LLMs to autonomously generate and learn model-improvement algorithms. In this framework, the seed model generates, applies, and learns model-improving algorithms, continuously improving both the seed model and the algorithms themselves. In mathematical reasoning tasks, Self-Developing not only creates models that surpass the seed model but also consistently outperforms models created using human-designed algorithms. Additionally, these LLM-discovered algorithms demonstrate strong effectiveness, including transferability to out-of-domain models.

The department "Robot and Assistive Systems" is concerned with the development of robot systems and automation solutions for industry and also for the services sector. The department develops and implements key technologies in innovative industrial robots, service robots and intelligent machines. Do you already use robot systems or do you plan to start using them in the future? We will help you develop and implement the automation solution you need. Are you a systems integrator or a components manufacturer?

In a recently released report, an independent federal commission on artificial intelligence -- National Security Commission on Artificial Intelligence mentioned that the US should build a formal tech alliance with India. This move has been called to help develop a comprehensive Indo-Pacific strategy that will be focused on emerging technologies. This newly-created US body in its report has clearly stated that the Department of State and the Department of Defence should negotiate formal cooperation agreements with countries like India, Australia, Japan, New Zealand, South Korea and Vietnam, with regards to artificial intelligence. The same report has been submitted to the Congress and President Donald Trump, where it has been underlined that the US must build on the strength of its allies and partners to win the global technology competition and preserve free and open societies. According to the Commission, it is required to grow support for the Quadrilateral Security Dialogue, which is a strategic forum among the US, Australia, India, and Japan, which will help in creating a formal relationship with nations in the Indo-Pacific region to concentrate on AI cooperation for defence and security purposes. The Commission further recommended that to achieve this goal, it is required to create a comprehensive strategic framework to marshal international multilateral and bilateral cooperation.

The AAAS Leshner Leadership Institute is an initiative of the AAAS Center for Public Engagement with Science and Technology, started in 2015 in honor of CEO Emeritus Alan I. Leshner, who founded the Center. Each year, a cohort of 15 AAAS Leshner Fellows from an area of research at the nexus of science and society will convene for a week of intensive public engagement and science communication training and public engagement plan development. AAAS Leshner Fellows will return to their institutions with a renewed commitment to develop and implement public engagement activities, train and mentor other scientists in their communities, and promote public engagement within their institutions. Artificial Intelligence is the topic for the 2020-2021 cohort of AAAS Leshner Fellows. Artificial intelligence (AI) is the attempt to have machines augment or mimic human abilities, learning from and adjusting to new situations and performing tasks such as responding to search requests, managing manufacturing processes, and assisting with the diagnosis and treatment of medical conditions.

Deep learning is the next big thing. Its favorable results in applications with huge and complex data is remarkable. R programming language is very popular among data miners and statisticians. Deep learning refers to artificial neural networks that are composed of many layers. Deep learning is a powerful set of techniques for finding accurate information from raw data.

Addressing human needs must be top priorities to design, develop and implement successful AI technology. With a rising amount of media attention and a sevenfold increase of investment, artificial intelligence (AI) is on the agenda of businesses in all industries, who are identifying the massive potential with this kind of technology. Design sits at the forefront of the drive to develop innovative everyday AI solutions that people find intuitive and easy to use. To pave the way for successful AI implementation, companies must consider creating experiences with AI that are less artificial and more intelligent, and most importantly, those that make AI more human-shaped. This is where design comes in. Designers possess the skills to create a world where everything is designed around real human needs.