Artificial Intelligence

Think of the Energy Meter as a virtual movement tracker. It combines AI technologies like Computer Vision and Deep Learning to understand how the user moves during the workout, how accurately he/she is performing the exercises. To run an ML model in real-time, we had to make sure that it processes one image frame before another one comes in. However, in our case, we had to hit a baseline performance where 10 images could be processed and scored in each second. This enabled the system to recognise the most common movements in workouts and assign an energy value and score to it.

New artificial intelligence systems can detect coronavirus infections far faster than human doctors and could help end the COVID-19 outbreak. Using 5,000 confirmed cases as their training data, scientists at the Alibaba DAMO Academy built an algorithm they claim can detect coronavirus infections in CT scans in just 20 seconds and with 96% accuracy.

Within the framework of the National Defense Strategy, US”s Department of Defense has come up with ethical AI guidelines: Responsible: DoD personnel will exercise appropriate levels of judgment and care, while remaining responsible for the development, deployment, and use of AI capabilities. Equitable: The Department will take deliberate steps to minimize unintended bias in AI capabilities. Traceable: The Department’s AI capabilities will be developed and deployed such that relevant personnel possess an appropriate understanding of the technology, development processes, and operational methods applicable to AI capabilities, including with transparent and auditable methodologies, data sources, and design procedure and documentation. Reliable: The Department’s AI capabilities will have explicit, well-defined uses, and the safety, security, and effectiveness of such capabilities will be subject to testing and assurance within those defined uses across their entire life-cycles. Governable: The Department will design and engineer AI capabilities to fulfill their intended functions while possessing the ability to detect and avoid unintended consequences, and the ability to disengage or deactivate deployed systems that demonstrate unintended behavior.

Bluedot, a Toronto based startup whose AI-driven health monitoring platform analyzes billions of data points. Launched in 2014, the venture alerted its clients to the outbreak on Dec. 31, well ahead of notifications from the World Health Organization and US Centers for Disease Control and Prevention.    Bluedot uses big data analytics to track and anticipate the spread of the world’s most dangerous infectious diseases.  Bluedot uses natural-language processing and machine-learning techniques to sift through global news reports, airline data, and reports of animal disease outbreaks, as described. Epidemiologists look over the automated results, and if everything checks out, the company sends alerts to its clients in the public and private sectors.

Google has introduced the Reformer, a Transformer model designed to handle context windows of up to 1 million words, all on a single accelerator and using only 16GB of memory. It combines two crucial techniques to solve the problems of attention and memory allocation that limit Transformer’s application to long context windows. Reformer uses locality-sensitive-hashing (LSH) to reduce the complexity of attending over long sequences and reversible residual layers to more efficiently use the memory available.

Telangana Police’s intelligence wing has tied up with Gurugram based startup Awiros to implement AI based crowd management solutions which will assist them in handling mega events like Samakka-Saralamma Jatara at Medaram, considered to be one of the biggest tribal fairs in Asia. The solution would entail the usage of CCTV footage to analyse crowd movements and size to assist police with regards to movement of personnel and other decisions in order to prevent stampedes and other dangerous situations.

Union Science Minister Harsh Vardhan has said that the central government is in the advanced stages of preparing and announcing a new policy on scientific social responsibility considering the latest developments in cyber physical systems, energy storage, quant systems, gene editing, AI and more. Speaking at the 107th Indian Science Congress, he said “At the 2015 ISC, PM Modi used the word ‘Scientific Social Responsibility’. At the moment, we are in the advanced stages of developing a policy on how we can fulfill SSR.”

Telangana Government has tied up with Intel, Adobe, Nvidia along with Public Health Foundation of India (PHFI) and IITs of Kharagpur and Hyderabad as part of its initiative of declaring 2020 as ‘year of artificial intelligence’. The government has said that it has set the target of attracting and enabling 200 AI innovators and startups, leading to a valuation of $3-4 billion to set up their base in Hyderabad. Nvidia also announced the setting up of a High Performance AI Computing Center (HPAIC) in Telangana.

In keeping with the AI driven initiatives being announced by state governments, the central government too has found its voice with five DRDO ‘Young Scientist Laboratories’ being announced by Prime Minister Modi in Bengaluru which will focus on AI, quantum and cognitive technologies. These laboratories are located in five major cities, namely Bengaluru (AI Research), Mumbai (Quantum Technology), Chennai (Cognitive Technology), Kolkata (Asymmetric Technologies) and Hyderabad (Smart Materials).

Over the last two years, we’ve been working with leading clinical research partners in the U.K. and U.S. to see if artificial intelligence could improve the detection of breast cancer. Today, we’re sharing our initial findings, which have been published in Nature. These findings show that our AI model spotted breast cancer in de-identified screening mammograms (where identifiable information has been removed) with greater accuracy, fewer false positives, and fewer false negatives than experts. This sets the stage for future applications where the model could potentially support radiologists performing breast cancer screenings.”

IBM Research has unveiled its annual five predictions for AI in 2020: – AI won’t take your job, but it will change how you work: AI will continue to impact…