"My fascination with AI began when I first heard about IBM's supercomputer Deep Blue defeating Garry Kasparov." For this week's ML practitioner's series, Analytics India Magazine (AIM) got in touch with Hamsa Buvaraghan. Hamsa currently leads Google Cloud's Data Science and MLOps Solution team, building revolutionary software solutions for business problems using Google's Data Analytics and AI/ML products. She has an Engineering degree in Computer Science from Mysore University and an MBA, Honors from Saint Mary's College of California. Hamsa: My fascination with AI began when I was in India, back in 1997, when I heard about IBM's supercomputer Deep Blue defeating Garry Kasparov.
Wind farms are now a reality in the U.S., heralding a new chapter in the country's sustainable energy production ambitions. But new technologies come with new challenges, and for offshore wind generation, inspection is one of the biggest. In much the same way as energy companies operate and maintain oil and gas subsea assets, wind farm cables, structural foundations, and all other components of the turbines need continuous monitoring and maintenance. That's dangerous work for humans, but it's a job tailor made for underwater robots and smart AI-powered analytics. Given the bright future and growing (albeit still small) footprint of offshore wind in the nation's energy power generation infrastructure, I reached out to Harry Turner, a machine learning specialist for Vaarst, a business driving the future of marine robotics, to discuss how robots and machine learning are changing the game for energy creation.
Market valuation experts assigned the global artificial intelligence market a value of $39.9 billion in 2019 with a projected Compound Annual Growth Rate (CAGR) of 42 percent from 2020 to 2027. The world is constantly evolving with many technological developments in Artificial Intelligence (AI). AI has a massive impact on several machines from the android system in phones to web indexes and self-driving vehicles to other various electronic devices, the impact of AI is growing exponentially, it is estimated that AI will provide more than 2 million job opportunities within the next couple of years. With the increase in interest in the field of AI, the demand for AI engineers has increased immensely. In this article, let's understand what an artificial intelligence engineer does, what prerequisites are, and what skills are required to be an artificial intelligence engineer, top U.S. states for AI jobs, which is the best artificial intelligence certification.
NASA's latest Mars rover is done with its testing and is ready to embark upon its first scientific mission. After landing on the planet in February, the Perseverance rover has been busy trying out its many instruments--converting atmospheric carbon dioxide into oxygen that would be needed for manned missions, flying a helicopter and taking photos. Now, it will begin its mission: looking for evidence of life. Over the coming months, it will use a variety of sophisticated instruments to scan the planet's Jezero Crater for places of interest, drill into rocks and soil, and collect specimens to be retrieved and brought to Earth by future spacecraft. The rover is packed with 23 cameras, sensors, a laser and a drill-equipped robotic arm.
Recently, I've been discussing Professor John Lennox's book entitled 2084, which is all about the development and production of artificial intelligence. As an Atheist, I clearly have many differences with his Christian perspective. Wherever you sit with regard to the God question, Christianity, or the ethical concerns that are raised with the advancement of AI, you have to give varying perspectives their due. Today, I wanted to spend a moment chatting about how artificial intelligence is impacting the advertising world and the serious ethical questions that are raised by that. So let's begin with a couple of points from that book Professor Lennox wrote.
Back in 2014, Amazon turned to artificial intelligence (AI) to streamline its recruitment process, using a machine-learning algorithm to review résumés and automate its search for talent. Three years later it abandoned the programme after it became apparent it was biased against female candidates. Because it relied on historical hiring patterns -- mostly of men -- it built in a preference for male hires. Last year, researchers in the US claimed they could predict criminality by running profile pictures through an AI algorithm. The project was roundly condemned, with scientists pointing out that it simply replicated existing racial biases in the criminal justice system, according to a report by tech magazine Wired...
Marc Andreessen should need no introduction, but I'll do one anyway. He helped code the first widely used graphical web browser, Mosaic, which as I see it makes him one of the inventors of the internet. He co-founded Netscape and various other companies. He also co-founded the venture capital firm Andreessen Horowitz (with Ben Horowitz), also known as A16Z, one of the country's largest VC firms. Recently he has launched a media publication called Future, where he occasionally writes his thoughts. Marc has been a sort of hero of mine ever since I was a teenager, when Netscape Navigator felt like it opened up the world. I came out to California in part to meet people like him. Now we know each other well, and he's a subscriber to my blog! The thing I always like about talking to Marc is how he combines relentless optimism with the concrete knowledge to back up that optimism -- both knowledge of specific details and a broad understanding of various schools of thought. Lots of people will tell you the future holds amazing possibilities; Marc will tell you exactly what those possibilities are, and why they're possible.
OECD.AI is an inclusive hub for public policy on AI that helps countries encourage, nurture and monitor the development and use of trustworthy AI. From the measurement of AI trends and developments to the direction and impact of national and regional AI policies and initiatives, OECD.AI is a prime example of how to move the AI discussion from principles to practice. Its up-to-date repository of over 600 AI policy initiatives from 60 countries enables the comparison of key elements of national AI policies in an interactive manner. Its work and indicators have informed and enhanced national and international analysis such as Pan Canadian AI Strategy Impact Assessment, the German AI Observatory, the G20 background paper on Trustworthy AI in Health multiple G20 reports and the recent EC Proposal for AI Regulation. Armando Guio, CAF Consultant at the Presidency of the Republic of Colombia believes that "the Observatory has rapidly become one of the most important sources of data and knowledge for AI governance."
Organizations around the globe are becoming more aware of the risks artificial intelligence (AI) may pose, including bias and potential job loss due to automation. At the same time, AI is providing many tangible benefits for organizations and society. For organization, this is creating a fine line between the potential harm AI might cause and the costs of not adopting the technology. Three emerging practices can help organizations navigate the complex world of moral dilemmas created by autonomous and intelligent systems. AI risks continue to grow, but so does the number of public and private organizations that are releasing ethical principles to guide the development and use of AI.