Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
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.
Chief national security correspondent Jennifer Griffin reports that the U.S. will only shoot down the Chinese spy balloon if officials can assure zero civilian casualties. U.S. investors were involved in at least 37% of all investment transactions in China's artificial intelligence, or AI, sector between 2015 and 2021, according to a new report. Georgetown University's Center for Security and Emerging Technology found that $40.2 billion of the total money raised by all Chinese AI companies over this time period had U.S. backing. However, the center couldn't determine what percentage of that amount came from U.S. investors or investors abroad. The money went to 251 Chinese AI companies, and 91% of the U.S. investment came as venture capital to earlier-stage businesses.
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.
The AI startup culture in China has expanded quickly in recent years due to vast amounts of data and an abundance of people with technical skills. A wide spectrum of technology, including computer vision, natural language processing, and self-driving automobiles, has been developed by Chinese firms in the AI domain. Many of these firms have also successfully obtained sizable funding from investors, domestically and abroad. Let's check out a few of the most cutting-edge AI startups based in China. Horizon Robotics is focused on developing energy-efficient solutions for the Internet of Things (IoT) and smart vehicles.
In this article, Alastair Lowe provides an overview of the background and technical requirements of AI accelerators – data processors that are specifically designed to perform hardware-accelerated AI tasks. Artificial Intelligence (AI) and Machine Learning (ML) are booming technology areas that already impact our daily lives in many ways. For example, AI is already used in diverse applications such as facial and number plate recognition software, self-organising communication networks, speech recognition, navigation, self-driving vehicles, and even visual artistry and music. Increasing AI workloads in these and other areas has led to a huge increase in interest in hardware acceleration of AI-related tasks. Processors that are specifically designed to perform AI-related tasks are not new.
Machine learning can be considered a component of artificial intelligence and involves training the machine to be more intelligent in its operations. AI technology focuses on incorporating human intelligence while machine learning is focused on making the machines learn faster. So we can say that machine learning engineers can provide faster and better optimizations to AI solutions. AI technology has had a massive impact on society and has transformed almost every industrial sector from planning to production. Thus machine learning engineers and experts are also of great value to this growing industry.
Officials had to close Mullaloo Beach in Perth, Western Australia, for the second time in a week on Monday, January 9, after a tiger shark was spotted swimming close to the shore. Check out this video, taken from a drone. A 16-year-old girl died after a shark mauled her while swimming in the Swan River in Australia, with only a teen diving in to save her as others watched in horror. "A female received injuries after being bitten by an unknown species of shark at approximately 3.35pm on Feb. 4 2023," the Department of Primary Industries and Regional Development (DPIRD) said of the incident. "DPIRD is working with WA Police and local authorities to coordinate responses. A DPIRD Fisheries vessel is on the water monitoring the area, and DPIRD officers are conducting land-based patrols."
In late January, the world of artificial intelligence went mainstream when popular online media company BuzzFeed announced it was planning to use artificial intelligence software called API to help it generate content. OpenAI, the company that created API, also made the more popular ChatGPT, released in November of 2022. API and ChatGPT have been used to write emails and create quizzes and listicles. It has even been used to write reports on popular books and other essay-style assignments for high school and college students. While we have all heard about the potential of artificial intelligence for years, BuzzFeed taking the plunge and using it to create content is a big deal.
While the furor around robots taking our jobs has largely died down in recent years (not least due to the lack of any real evidence that it's happening), it remains inevitable that the introduction of new technologies will cause disruption in the labor market. "Throughout history the introduction of new technologies has had an inevitable impact on the labour market, whether through displacing jobs, creating new ones, or significantly altering those that already exist," Alexander Dick, Executive Chairman of cloud technology firm VeUP says. "Technologies like AI and robotics are not going to be any different and we're already seeing this across the economy at the moment, with some new jobs being created, some being displaced, and many being altered by the introduction of these new technologies." Research from the Kellogg School explores historical periods of technology-driven disruption to see if there are any patterns around the kinds of workers that get disrupted, and indeed how that disruption affected their current and future income. The researchers developed an approach to gauge the exposure of workers to new technology.
Put this lovely dog out of work? Humanity is the architect of its own downfall. We're doomed because we're good at dooming ourselves, and we're really good at not anticipating the consequences of our actions. We're already benignly accepting that robots will put us out of work, but do we really, really have to do the same to our dearest, most beloved friend -- the dog? I'm only asking because I've nuzzled up to a YouTube video that made me fear for the better beings of this Earth.