A new deep learning method developed by a team of researchers at Chalmers can generate regulatory DNA sequences that control gene expression in a gene-specific manner. Despite significant sequence divergence from natural DNA, in vivo measurements reveal that 57% of the synthetic sequences with high expression levels outperform the expression levels of the correspondingly highly expressed natural controls. It will be possible to develop and produce vaccines, drugs against severe diseases, and alternative foods much more quickly and at a significantly lower cost with the help of this technology. The researchers investigated if de novo functional regulatory DNA, encompassing the whole gene regulatory structure and providing desired gene expression levels, can be produced simply from the information of natural regulatory sequences. The major goal is to directly correlate natural genomic data from Saccharomyces cerevisiae with the functional DNA regulatory sequence space, allowing for the controlled design of expression systems.

"We have stability in terms of policy framework, a huge startup ecosystem and a rebalancing of global value chain coming in over the last three years. India is lagging behind in the global robotics race and cannot afford to be left behind in terms of manufacturing. Speaking at the'Building Robotics Ecosystem for the Developing World: Challenges and Opportunities' at the Bengaluru Tech Summit 2022, Volvo Group India president Kamal Bali said that India is currently in its sweet spot to benefit majorly in the manufacturing sector. "We have stability in terms of policy framework, a huge startup ecosystem and a rebalancing of global value chain coming in over the last three years. India stands to gain the most.

India to take over Chair of Global Partnership on AI for 2022-23. India will take over the chair of the Global Partnership on Artificial Intelligence for 2022-23 at a meeting of the body in Tokyo on November 21, the Ministry of Electronics and IT said on Sunday. In the election to the Council Chair, India had received more than a two-thirds majority of first-preference votes while Canada and the United States of America ranked in the next two best places in the tally – so they were elected to the two additional government seats on the Steering Committee, the ministry said in a statement. Minister of State for Electronics and IT Rajeev Chandrasekhar will represent India at the handover ceremony in Tokyo. "Close on the heels of assuming the presidency of G20, a league of world's largest economies, India will take over the chair of the Global Partnership on Artificial Intelligence (GPAI), an international initiative to support responsible and human-centric development and use of Artificial Intelligence (AI)," the statement said.

From pop music to painting, the rapid rise of artificial intelligence and machine learning is transforming the way people create. But that’s not necessarily a good thing.

This is an opinion editorial by Sydney Bright, a professional science writer on the topic of health benefits from mindfulness-based practices. Where is technology taking us? Will robots surpass our intelligence and replace us altogether? Will we combine with machines in some symbiotic merge that creates a new super being? Or are machines merely tools that will allow our more fundamental nature to thrive? In this article, I will argue that technology is how human beings will be able to return to a more natural life that is devoid of the harsh realities that existed 10,000 years ago. Those who are aware of my work on the science of meditation ask me why there is also a discussion of economics and Bitcoin on my blog. First, I feel that any curious mind should be well-rounded: Multiple fields of study are worth pursuing, as they all compile a more complete understanding of reality. At first, I felt that they were simply separate interests of mine. However, now I have come to realize that they are partly connected and suggest an exciting forecast for humanity's future.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. It's free, we don't spam, and we never share your email address.

New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.

Holographic microwave imaging (HMI) has been proposed for early breast cancer diagnosis. Automatically classifying benign and malignant tumors in microwave images is challenging. Convolutional neural networks (CNN) have demonstrated excellent image classification and tumor detection performance. This study investigates the feasibility of using the CNN architecture to identify and classify HMI images. A modified AlexNet with transfer learning was investigated to automatically identify, classify, and quantify four and five different HMI breast images. Various pre-trained networks, including ResNet18, GoogLeNet, ResNet101, VGG19, ResNet50, DenseNet201, SqueezeNet, Inception v3, AlexNet, and Inception-ResNet-v2, were investigated to evaluate the proposed network. The proposed network achieved high classification accuracy using small training datasets (966 images) and fast training times.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. The model is able to transfer knowledge between a simulated environment and real-world settings.

Hi There! This is Joe, an undergraduate at Drexel University studying Data Science and doing research in the area of AI. More specifically, I do research under NLP/Computational Linguistics & Machine…