patil
AI text-to-speech programs could "unlearn" how to imitate certain people
AI companies generally keep a tight grip on their models to discourage misuse. For example, if you ask ChatGPT to give you someone's phone number or instructions for doing something illegal, it will likely just tell you it cannot help. However, as many examples over time have shown, clever prompt engineering or model fine-tuning can sometimes get these models to say things they otherwise wouldn't. The unwanted information may still be hiding somewhere inside the model so that it can be accessed with the right techniques. At present, companies tend to deal with this issue by applying guardrails; the idea is to check whether the prompts or the AI's responses contain disallowed material.
Bringing AI to the Edge
This year, U.S. rail carrier Amtrak will be installing two novel inspection gateways from Duos Technologies along its busy Northeast Corridor. The barn-like Duos structures straddle railway tracks; as passenger trains speed through at up to 125 miles per hour, 97 cameras and dozens of LED lights arrayed around the sides, top, and bottom of the tracks will capture thousands of high-resolution images of the railcars. These images are aggregated and processed on site in real time to present a complete, 360-degree, highly detailed view of the train. Artificial intelligence (AI) algorithms running on Nvidia GPUs will analyze the images locally; if the model flags a potential structural or mechanical flaw, train personnel will be notified in less than a minute. The Duos portal is one of many new examples of what is loosely categorized as edge AI, or the deployment and operation of AI models outside of massive cloud datacenters.
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The Combination of Metal Oxides as Oxide Layers for RRAM and Artificial Intelligence
Resistive random-access memory (RRAM) is a promising candidate for next-generation memory devices due to its high speed, low power consumption, and excellent scalability. Metal oxides are commonly used as the oxide layer in RRAM devices due to their high dielectric constant and stability. However, to further improve the performance of RRAM devices, recent research has focused on integrating artificial intelligence (AI). AI can be used to optimize the performance of RRAM devices, while RRAM can also power AI as a hardware accelerator and in neuromorphic computing. This review paper provides an overview of the combination of metal oxides-based RRAM and AI, highlighting recent advances in these two directions. We discuss the use of AI to improve the performance of RRAM devices and the use of RRAM to power AI. Additionally, we address key challenges in the field and provide insights into future research directions
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Generative Adversarial Networks and Deep Learning: Theory and Applications: Raut, Roshani, D Pathak, Pranav, R Sakhare, Sachin, Patil, Sonali: 9781032068107: Amazon.com: Books
Dr. Sachin R Sakhare is working as a Professor in the Department of Computer Engineering of Vishwakarma Institute of Information Technology, Pune, India. He has 26 Years of experience in engineering education. He is recognised as PhD guide by Savitribai Phule Pune University and currently guiding 7 PhD scholars. He is a life member of CSI, ISTE and IAEngg. He has Published 39 research communications in national, international journals and conferences, with around 248 citations and H-index 6.
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'Rayat' should increase artificial intelligence - Sharad Pawar - Marathi News
Satara: Rayat Shikshan Sanstha has kept the tradition of recognizing the steps of time and moving forward. Considering the continued use of Artificial Intelligence around the world and the manpower required for it, Rayat Shikshan Sanstha is expected to launch a separate course on Artificial Intelligence in his engineering colleges. At this time, Pawar said, Rayat Shikshan Sanstha is credited with being an important factor in uplifting the common man by giving him education. Recognizing the footsteps of the time, Rayat has done an admirable job nationally in adopting new courses. Thakur's generosity in donating over Rs 70 million is unmatched.
Startup mantra: Artificial intelligence in medical space
PUNE AI-enabled radiology platform DeepTek is playing an important role in precise diagnosis of diseases like TB and Covid-19. The Pune-based startup has received strategic investment from a clutch of investors so far, and is eying another VC round in next six months. Patil completed his schooling from SSPMS school and engineering from COEP in 1992. He has a Master's degree from IIT-Kharagpur in Industrial Engineering and Operations Research. Amit Kharat, with a DNB and PhD in Radiology, has been engaged in the radiology space for the last 17 years.
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Role of AI soars in tackling Covid-19 pandemic
For the first time in a pandemic, Artificial Intelligence (AI) is playing a role like never before in areas ranging from diagnosing risk to doubt-clearing, from delivery of services to drug discovery in tackling the Covid-19 outbreak. While BlueDoT, a Canadian health monitoring firm that crunches flight data and news reports using AI, is being credited by international reports to be the first to warn its clients of an impending outbreak on December 31, beating countries and international developmental agencies, the Indian tech space too is buzzing with coronavirus cracking activities. CoRover, a start-up in the AI space that has earlier developed chatbots for railways ticketing platform, has now created a "video-bot" by collaborating with a doctor from Fortis Healthcare. In this platform, a real doctor from Fortis Healthcare -- not a cartoon or an invisible knowledge bank -- will take questions from people about Covid-19. Apollo Hospitals has come up with a risk assessment scanner for Covid-19, which is available in six languages and guides people about the potential risk of having the virus. The Jaipur-based Sawai Man Singh Hospital is trying out a robot, made by robot maker Club First, to serve food and medicines to patients to lower the exposure of health workers to coronavirus patients.
Role of AI soars in tackling Covid-19 pandemic
For the first time in a pandemic, Artificial Intelligence (AI) is playing a role like never before in areas ranging from diagnosing risk to doubt-clearing, from delivery of services to drug discovery in tackling the Covid-19 outbreak. While BlueDoT, a Canadian health monitoring firm that crunches flight data and news reports using AI, is being credited by international reports to be the first to warn its clients of an impending outbreak on December 31, beating countries and international developmental agencies, the Indian tech space too is buzzing with coronavirus cracking activities. CoRover, a start-up in the AI space that has earlier developed chatbots for railways ticketing platform, has now created a "video-bot" by collaborating with a doctor from Fortis Healthcare. In this platform, a real doctor from Fortis Healthcare -- not a cartoon or an invisible knowledge bank -- will take questions from people about Covid-19. Apollo Hospitals has come up with a risk assessment scanner for Covid-19, which is available in six languages and guides people about the potential risk of having the virus. The Jaipur-based Sawai Man Singh Hospital is trying out a robot, made by robot maker Club First, to serve food and medicines to patients to lower the exposure of health workers to coronavirus patients.
Code of Ethics Can Guide Responsible Data Use
There's untold opportunity in the mountains of data being amassed today but also the potential for harm, according to former U.S. Chief Data Scientist DJ Patil. Modern life has changed dramatically over the past decade, thanks in large part to new technologies and the ever-evolving business models they've enabled, but the fundamental transformative factor underlying it all is data. So contended DJ Patil, who served as the first chief data scientist for the United States, at the most recent Deloitte Analytics and AI Summit. Massive increases in computational power and storage are making it possible to collect, store, and analyze rapidly increasing volumes of data--currently some 2.5 quintillion bytes every day, by Patil's estimation--and the transformations that have resulted so far are just the beginning, he said. "We're about to go from sequencing the human genome to precision medicine. Autonomous vehicles have started to appear on our roads, and we'll soon see efforts to build self-driving cargo ships and airplanes as well."
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Japan's NTT invests in medical imaging AI start-up DeepTek - The Financial Express
Japanese IT service provider, NTT DATA has invested in medical imaging AI start-up company DeepTek. NTT has not disclosed the size of investment. Ajit Patil, co-founder, DeepTek, said this was a seed stage funding and NTT had picked up 10-15% stake in the company and they had formed a strategic equity partnership with NTT Data. This funding would take care of their need for around two and half years but they are looking at further global alliances and venture funding, he said. DeepTek is co-founded by Dr Amit Kharat a leading radiologist in the country, Aniruddha Pant an AI technology expert with a Berkeley University PhD, and Ajit Patil, a serial entrepreneur, whose earlier start-up exited to NTT DATA Corp.
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