For five years or so, I have been running around as a pale imitation of Paul Revere, yelling, "The robots are coming! At schools, social settings, with family and friends, or even to complete strangers with whom I fell into conversations, I have uttered the same warning: "It's critical that you or your children identify a career -- now -- that won't be taken over by robots and artificial intelligence." My particular midnight ride started well before the pandemic reared its ugly head. But the pandemic may have planted a seed in the minds of certain CEOs that human beings are the weakest link on their chain to profit and prosperity. When the first "Terminator" movie was released -- eerily enough, in 1984 -- the world was introduced to Cyberdyne Systems and its "Skynet" artificial superintelligence system, which not only gained self-awareness but realized it could do everything infinitely faster and better than its human creators. Well, ever since that movie got people asking, "What if," the fictional theme -- and warnings about AI -- have been morphing into reality. The latest example of a technology poised to replace a human workforce is ChatGPT, the chatbot auto-generative system created by Open AI for online customer care. It is a pre-trained generative chat, which makes use of natural language processing, or NLP. The source of its data is textbooks, websites and various articles, which it uses to model its own language for responding to human interaction. It's certainly not a stretch to believe that any number of CEOs might think, "Interesting… A self-teaching artificial intelligence system that won't call in sick, doesn't need to be fed or to take bathroom breaks, does not require health care, but can and will work 24/7/365." Not shockingly, it has been reported that Microsoft, which is laying off 10,000 people, announced a "multiyear, multibillion-dollar investment" in this revolutionary technology, which apparently is growing smarter by the day. Pengcheng Shi, an associate dean in the Department of Computing and Information Sciences at Rochester Institute of Technology, warned in an interview with the New York Post: "AI is replacing the white-collar workers.
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew's pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)
A photograph of an eBiobot prototype, lit with blue microLEDs. Remotely controlled miniature biological robots have many potential applications in medicine, sensing and environmental monitoring. Then, they saw the light. Now, miniature biological robots have gained a new trick: remote control. The hybrid "eBiobots" are the first to combine soft materials, living muscle and microelectronics, said researchers at the University of Illinois Urbana-Champaign, Northwestern University and collaborating institutions.
A dangerous combination of record-setting cold temperatures and powerful winds have buffeted the northeastern United States. On Saturday, New Hampshire's Mount Washington recorded a wind chill, a measure of how the combined effect of air and wind feels to the skin, of -78 Celsius (-108 Fahrenheit), which appeared to be the lowest ever in the United States. The air temperature at the peak reached -44C (-47F), with winds gusting near 160km/h (100 mph), according to the Mount Washington Observatory. In Boston, where officials closed down the public school system on Friday due to the impending freeze, the low temperature hit -23C (-10 F), shattering the day's record set more than a century ago, the National Weather Service (NWS) said. In Providence, Rhode Island, the mercury dropped to -23C (-9F), well below the previous all-time low of -19C (-2F), set in 1918.
Originally published on Towards AI. Artificial Intelligence (AI) is a subject that has been discussed almost everywhere. It continuously gets so popular that it permeates practically every field, from the business world to the entertainment industry. This technology, however, is more than simply a fad; it's a serious means through which businesses may boost their productivity. As a result of the proliferation of use cases demonstrating how AI improved various operations, an increasing number of businesses have realized that AI and other forms of cutting-edge technology are the new arenas in which to compete.
Artificial intelligence (AI) has been making a lot of headlines lately, and with good reason. AI is quickly becoming more and more sophisticated, allowing it to be used in a variety of ways that can benefit both businesses and individuals alike. But while the potential benefits are clear, there's also some concern about how these powerful technologies may be misused or abused by those who don't have our best interests at heart. As such, many governments around the world are looking into various forms of regulation for AI technology as they seek to protect their citizens from any potentially negative consequences that could arise from its misuse. However, despite this increased focus on regulating AI technology for safety purposes – one thing remains unclear: How effective will this form of regulation really end up being?
According to the White House, the informal Quad alliance of Australia, India, Japan, and the United States has decided to deploy machine learning and other cutting-edge technology to improve cyber security. During a meeting of the Quad Senior Cyber Group on January 30 and 31, representatives from Australia, India, Japan, and the United States reaffirmed their commitment to advancing an inclusive, free, and open Indo-Pacific region, according to the statement. The Group pledged to use machine learning and related cutting-edge technologies in the long run to improve cyber security and create secure channels for private sector threat information sharing and Computer Emergency Response Teams (CERT), according to a statement released by the White House on Thursday. It added that these goals are a key component of the group's forward-thinking, cutting-edge work plan. The group also committed to developing a framework and methodology for ensuring supply chain security and resilience for information communication technologies (ICT) and operational technology (OT) systems of critical sectors.
ChatGPT, OpenAI's advanced chatbot developed from its language model GPT3, can do almost anything. From helping you to find love, draft cover letters and resumes to even writing poems in the voices of dead authors, ChatGPT has your back. The new fresh hell we find ourselves in now is ChatGPT has the ability to nail job interviews. Artificial intelligence may not be on the verge of replacing most jobs, but it's fascinating how easy it is for this simple chatbot to win over recruiters for some very high-paying positions. This recent trend of AI job-hunting shouldn't worry you yet, but we looked at some of the jobs ChatGPT is getting shortlisted for: According to PayScale, the average salary for a software engineer in the United States is around $90,000 a year.
Researchers who use ChatGPT risk being misled by false or biased information, and incorporating it into their thinking and papers. Inattentive reviewers might be hoodwinked into accepting an AI-written paper by its beautiful, authoritative prose owing to the halo effect, a tendency to over-generalize from a few salient positive impressions7. And, because this technology typically reproduces text without reliably citing the original sources or authors, researchers using it are at risk of not giving credit to earlier work, unwittingly plagiarizing a multitude of unknown texts and perhaps even giving away their own ideas. Information that researchers reveal to ChatGPT and other LLMs might be incorporated into the model, which the chatbot could serve up to others with no acknowledgement of the original source. Assuming that researchers use LLMs in their work, scholars need to remain vigilant.
The Department of Mechanical Engineering at the University of Maryland, College Park invites applications for exceptionally qualified candidates to apply for tenure-track faculty positions, with a target start date of August 2023 or later. Priority will be given to candidates with expertise in the Design and Industrial AI area. Exceptional candidates with expertise outside these areas are also welcome to apply. Qualifications: Candidates for the rank of Assistant Professor should have received or expect to receive their PhD in Mechanical Engineering or a related discipline prior to employment. Additionally, candidates should be creative and adaptable, and have a high potential for both research and teaching.