Controlling spacecraft near asteroids in deep space comes with many challenges. The delays involved necessitate heavy usage of limited onboard computation resources while fuel efficiency remains a priority to support the long loiter times needed for gathering data. Additionally, the difficulty of state determination due to the lack of traditional reference systems requires a guidance, navigation, and control (GNC) pipeline that ideally is both computationally and fuel-efficient, and that incorporates a robust state determination system. In this paper, we propose an end-to-end algorithm utilizing neural networks to generate near-optimal control commands from raw sensor data, as well as a hybrid model predictive control (MPC) guided imitation learning controller delivering improvements in computational efficiency over a traditional MPC controller.

Dr Pallavi Tiwari and her team at the Brain Image Computing Laboratory are using AI models to help move away from a one-size-fits-all approach to treating brain tumours. As technology continues to advance, its use within the healthcare sector is becoming more and more prominent. From remote healthcare to 3D printing, there are so many applications of technology that can pave the way for personalised medicine and better healthcare. One such application is the use of AI and machine learning in the treatment of brain tumours, something I spoke to Dr Pallavi Tiwari about. Tiwari is an assistant professor of biomedical engineering and the director of the Brain Image Computing Laboratory at Case Western Reserve University in Ohio.

COVID-19 has led to an increase in payer adoption of technology and innovation, according to Shreesh Tiwari, principal at ZS, speaking during the HIMSS State of Healthcare event. Sixty-four percent of health insurance executives report an accelerated adoption of digital health initiatives such as virtual health. Another 53% report an acceleration in adoption of artificial intelligence and machine learning practices, while 42% said COVID-19 has helped facilitate the adoption of value-based care arrangements, according to State of Healthcare research by HIMSS, the parent company of Healthcare Finance News. COVID-19 has helped to drive changes not just in technology, but in attitude, Tiwari said. The mental and cultural barriers in terms of adoption are no longer being seen as issues. Around half of payers have an innovation lab and believe AI and machine learning will drive innovation forward.

Case Western Reserve University researchers are investigating how artificial intelligence (AI) can improve cancer treatments. The technology could possibly cut down on the number of surgeries needed, said lead researchers Pallavi Tiwari and Satish Viswanath. Tiwari specializes in brain cancers, while Viswanath studies colorectal cancers. In both types of cancers, lesions or dead tissues often show up on MRI scans after a patient receives treatment, which can resemble recurring tumors, said Tiwari. "The only definitive diagnosis comes from a surgical resection, which means that they go in and do a biopsy, or they go in and take the whole thing out – only to later discover that it's a benign condition," she said.

As social media platforms move to crack down on deepfakes and misinformation in the US elections, an Indian politician has used artificial intelligence techniques to make it look like he said things he didn't say, Vice reports. In one version of a campaign video, Manoj Tiwari speaks in English; in the fabricated version, he "speaks" in Haryanvi, a dialect of Hindi. Political communications firm The Ideaz Factory told Vice it was working with Tiwari's Bharatiya Janata Party to create "positive campaigns" using the same technology used in deepfake videos, and dubbed in an actor's voice to read the script in Haryanvi. "We used a'lip-sync' deepfake algorithm and trained it with speeches of Manoj Tiwari to translate audio sounds into basic mouth shapes," Sagar Vishnoi of The Ideaz Factory said, adding that it allowed the candidate to target voters he might not have otherwise been able to reach as directly (while India has two official languages, Hindi and English, some Indian states have their own languages and there are hundreds of various dialects). The faked video reached about 15 million people in India, according to Vice.

Machine Learning has become very famous currently which assist in identifying the patterns from the raw data. Technological advancement has led to substantial improvement in Machine Learning which, thus helping to improve prediction. Current Machine Learning models are based on Classical Theory, which can be replaced by Quantum Theory to improve the effectiveness of the model. In the previous work, we developed binary classifier inspired by Quantum Detection Theory. In this extended abstract, our main goal is to develop multi-class classifier. We generally use the terminology multinomial classification or multi-class classification when we have a classification problem for classifying observations or instances into one of three or more classes.

You might think putting a helipad on Trump Tower would give the president's Manhattan residence an added veneer of affluence. After all, nothing conveys wealth and power quite like arriving at your own skyscraper aboard Marine One, right? Not according to Penny, an artificial intelligence that uses satellite imagery to predict income levels in the Big Apple and how they change as you tinker with the urban landscape. When I called up the president's Manhattan residence via Penny's clean, intuitive interface, it saw nothing but wealth. "PENNY is 100% confident that this is a HIGH median income area," it reported.

While artificial intelligence is making waves globally, Cognitive Business Intelligence (BI) is the next stage of machine learning to design and analyse unstructured data, video, images and human language, say experts. According to them, we are generating data but is this data being analysed to create insights which could help in running businesses more effectively is the real concern for businesses. "This potential can be leveraged using Business Intelligence. Using BI, we can understand what really the data means," said Nikhilesh Tiwari, Co-Founder, Helical Insight, the world's first open source Business Intelligence (BI) framework. At the moment, less than 0.5 per cent of all data is ever analysed and used globally.

While artificial intelligence is making waves globally, Cognitive Business Intelligence (BI) is the next stage of machine learning to design and analyze unstructured data, video, images and human language, say experts. According to them, we are generating data but is this data being analyzed to create insights which could help in running businesses more effectively is the real concern for businesses. "This potential can be leveraged using Business Intelligence. Using BI, we can understand what really the data means," said Nikhilesh Tiwari, Co-Founder, Helical Insight, the world's first open source Business Intelligence (BI) framework. At the moment, less than 0.5 percent of all data is ever analyzed and used globally.

New Delhi: While artificial intelligence is making waves globally, Cognitive Business Intelligence (BI) is the next stage of machine learning to design and analyse unstructured data, video, images and human language, say experts. According to them, we are generating data but is this data being analysed to create insights which could help in running businesses more effectively is the real concern for businesses. "This potential can be leveraged using Business Intelligence. Using BI, we can understand what really the data means," said Nikhilesh Tiwari, Co-Founder, Helical Insight, the world's first open source Business Intelligence (BI) framework. At the moment, less than 0.5 per cent of all data is ever analysed and used globally.