Scientists have discovered two species of wasps which grow up to four inches (10cm) long and lay their eggs inside other insects. The wasps were found in the jungle in Uganda's Kibale National Park and are among some of the only ones of their type ever discovered. Named Epirhyssa quagga and Epirhyssa johanna, the creatures are part of the rhyssine family, which cannot sting and are harmless to humans. But they are less harmless in their own habitat – their larvae develop inside the offspring of beetles and other wasps and eat them from the inside out. Discoveries of these disconcertingly large wasps are generally rare, but scientists this time found large numbers of both males and females of new types in the forest.

Read on to discover how this definitive report can transform your research and save you time. The use of artificial intelligence based industrial and personal-service robots is on the rise and has led Visiongain to publish this timely report. The USD 2.3 billion Artificial Intelligence Robotics Market is expected to flourish in the next few years because of advances in specific areas of AI such as machine learning methods. The continuous advancements in computer power have enabled the development of more intelligent and stronger AI systems and this is expected to feed through in the latter part of the decade driving growth to new heights. If you want to be part of this growing industry, then read on to discover how you can maximise your investment potential.

The explosion of artificial intelligence (AI) is not just a boon for business. It is also helping solve some of the world's biggest social problems, from reducing crime to eradicating disease and tackling climate change. The amount of available data and technology that can process it intelligently has snowballed as the internet has increasingly integrated with our lives through tablets, phones and wearables. The advent of the internet of things – the extension of internet connectivity into everyday objects – has taken this even further. These advances have enabled a wide range of bodies, including companies, governments and non-governmental organisations, to start working together to use AI for social good and has already produced some groundbreaking results in vital areas.

Over the next decade, innovative technologies such as edge computing, 5G, artificial intelligence (AI), extended reality and Internet of things will combine to create deeply connected relationships between people and computers, resulting in fully augmented human beings. This is according to the Future of Connected Living report commissioned by Dell Technologies and conducted by Vanson Bourne. The research firm surveyed 4 600 director- to C-suite-level business leaders across four countries, including SA, to uncover their views on the impact of emerging technologies. The research found the gap between human and machines is shrinking, presenting a new era of human-machine alliances on the horizon. Over the next decade, it says, everything around us will become more intelligent, communicative and connected, with new kinds of networks, devices, interfaces and AI expected to help people augment, enhance and optimise their personal lives and working environment.

This week, we have launched the first in a series of reports on artificial intelligence (AI) and its potential impact in driving the digital transformation of biopharma. This overview report, Intelligent biopharma: Forging the links across the value chain, explores the challenges and opportunities in AI adoption and the potential ways that AI might impact the different segments of the biopharma value chain (see Figure 1).1 The pace and scale of medical and scientific innovation, together with increasing competition, lengthening R&D cycle times, shorter time in market, expiring patents, declining peak sales, pressure around reimbursement and mounting regulatory scrutiny are challenging the existing biopharma business and operating models. These challenges have also had a massively negative impact on the expected return on investment that large biopharma companies expect to achieve from their late-stage pipelines. Consequently, companies are looking to digital transformation as a key differentiator and essential part of their change management strategy. AI technologies are some of the most anticipated of these digital technologies.

GNW The global artificial intelligence (AI) in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019–2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision. When technology is considered, the AI in retail market is divided into computer vision, NLP, machine learning, and others (which include gesture recognition and analytics). Machine learning generated the highest revenue during the historical period (2014–2018) and is expected to dominate the market during the forecast period as well.

Text to Image Synthesis refers to the process of automatic generation of a photo-realistic image starting from a given text and is revolutionizing many real-world applications. In order to perform such process it is necessary to exploit datasets containing captioned images, meaning that each image is associated with one (or more) captions describing it. Despite the abundance of uncaptioned images datasets, the number of captioned datasets is limited. To address this issue, in this paper we propose an approach capable of generating images starting from a given text using conditional GANs trained on uncaptioned images dataset. In particular, uncaptioned images are fed to an Image Captioning Module to generate the descriptions. Then, the GAN Module is trained on both the input image and the machine-generated caption. To evaluate the results, the performance of our solution is compared with the results obtained by the unconditional GAN. For the experiments, we chose to use the uncaptioned dataset LSUN bedroom. The results obtained in our study are preliminary but still promising.

O LIVE, is focusing on the innovative potential of Artificial Intelligence (AI) to impact everyday lives in the MENA region. At GITEX 2019, BIGO will be demonstrating its use of AI-enabled processes across applications such as its facial detection and recognition system as well as its content management system to ensure high levels of quality content served to its millions of users across the region. AI is one of the mega-trends at GITEX 2019, the region's leading technology event. Under the theme, 'Synergising the mind and technology economy', the 2019 edition of the technology showcase will spotlight the wide impact of AI across every sphere, calling it'the brain at the core of all emerging technology'. Offering a suite of entertaining and interactive video applications that are popular across the MENA region, BIGO has built AI into core areas of its technology portfolio.

Founded in 1990, the Martin Luther King Jr. (MLK) Visiting Professors and Scholars Program honors the life and legacy of Martin Luther King by increasing the presence of, and recognizing the contributions of, underrepresented minority scholars at MIT. MLK Visiting Professors and Scholars enhance their scholarship through intellectual engagement with the MIT community and enrich the cultural, academic, and professional experience of students. Six scholars are visiting MIT this academic year as part of the program. Kasso Okoudjou is returning for a second year as an MLK Visiting Professor in the Department of Mathematics. Originally from Benin, he moved to the United States in 1998 and earned a PhD in mathematics from Georgia Tech. Okoudjou joins MIT from the University of Maryland College Park, where he is a professor.

GNW The global artificial intelligence (AI) in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019–2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision. When technology is considered, the AI in retail market is divided into computer vision, NLP, machine learning, and others (which include gesture recognition and analytics). Machine learning generated the highest revenue during the historical period (2014–2018) and is expected to dominate the market during the forecast period as well.