The idea of a robot taking your job might sound like science fiction. But a new study suggests it could soon become a reality for many Britons. The study, by the Department for Education, has revealed the jobs most likely to be taken by robots. However, there's sports players, roofers, and steel erectors can all rest easy, with the study suggesting these professions are the safest from the advance of AI technology. The idea of a robot taking your job might sound like science fiction.

We study the problem of multi-agent coordination in unpredictable and partially-observable environments with untrustworthy external commands. The commands are actions suggested to the robots, and are untrustworthy in that their performance guarantees, if any, are unknown. Such commands may be generated by human operators or machine learning algorithms and, although untrustworthy, can often increase the robots' performance in complex multi-robot tasks. We are motivated by complex multi-robot tasks such as target tracking, environmental mapping, and area monitoring. Such tasks are often modeled as submodular maximization problems due to the information overlap among the robots. We provide an algorithm, Meta Bandit Sequential Greedy (MetaBSG), which enjoys performance guarantees even when the external commands are arbitrarily bad. MetaBSG leverages a meta-algorithm to learn whether the robots should follow the commands or a recently developed submodular coordination algorithm, Bandit Sequential Greedy (BSG) [1], which has performance guarantees even in unpredictable and partially-observable environments. Particularly, MetaBSG asymptotically can achieve the better performance out of the commands and the BSG algorithm, quantifying its suboptimality against the optimal time-varying multi-robot actions in hindsight. Thus, MetaBSG can be interpreted as robustifying the untrustworthy commands. We validate our algorithm in simulated scenarios of multi-target tracking.

Puffins use wooden sticks as tools to scratch, groom themselves and possibly dislodge ticks -- suggesting that the seabirds may be smarter than was thought. Tool use is rare behaviour for animals -- an activity largely confined to primates and perching birds when engaging in complex, often feeding-related, tasks. However, zoologists led from the University of Oxford have reported two sightings of puffin tool-use, one from Iceland and the other from Pembrokeshire, Wales. Puffins use wooden sticks as tools to scratch, groom themselves and possibly dislodge ticks -- suggesting that the seabirds may be smarter than was thought. Tool use is rare behaviour for animals.

The rise of the machines could leave a third of the population out of work. That's according to Dr Subhash Kak, a computing expert at Oklahoma University, who claims AI and self-driving cars will lead to mass unemployment. He also warns that as robots take control of the world, humans will slip into a life of'meaningless' misery. A report in November suggested that physical jobs in predictable environments – including machine-operators and fast-food worker – are the most likely to be replaced by robots. But it added: 'Collecting and processing data are two other categories of activities that increasingly can be done better and faster with machines.

As the capabilities of robots and AI continues to grow, a leading scientist has warned that the machine takeover will lead mankind into a'hellish dystopia'. Dr Subhash Kak, a computing expert at Oklahoma University, says employment provides people with a sense of self-worth and value. He believes this self-worth will be lost as robots take control, leading humans into a life of'meaningless' misery. He claims the US opioid addiction and the rise of extremist groups are an early omen of a dystopian future. As our world becomes more and more technology-driven, robots could replace workers in a huge number of jobs, which could lead to a dystopian future where human life in'meaningless, a leading scientist says (stock image) A report in November suggested that physical jobs in predictable environments – including machine-operators and fast-food worker – are the most likely to be replaced by robots.

As our world becomes more and more technology-driven, robots could replace workers in a huge number of jobs, a new report has warned. The report claims that as many as 800 million workers could be replaced by machines in just 13 years. Jobs most likely to be taken include fast-food workers and machine-operators, while gardeners, plumbers and childcare workers are the least likely to be replaced by bots, according to the report. In terms of jobs, the report suggests that physical jobs in predictable environments – including machine-operators and fast-food worker – are the most likely to be replaced by robots. But it added: 'Collecting and processing data are two other categories of activities that increasingly can be done better and faster with machines.

The technical potential for automation differs dramatically across sectors and activities. As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The discussion tends toward a Manichean guessing game: which jobs will or won't be replaced by machines? In fact, as our research has begun to show, the story is more nuanced. While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail. Automation, now going beyond routine manufacturing activities, has the potential, as least with regard to its technical feasibility, to transform sectors such as healthcare and finance, which involve a substantial share of knowledge work. McKinsey's Michael Chui explains how automation is transforming work. These conclusions rest on our detailed analysis of 2,000-plus work activities for more than 800 occupations.

The technical potential for automation differs dramatically across sectors and activities. As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The discussion tends toward a Manichean guessing game: which jobs will or won't be replaced by machines? In fact, as our research has begun to show, the story is more nuanced. While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail. Automation, now going beyond routine manufacturing activities, has the potential, as least with regard to its technical feasibility, to transform sectors such as healthcare and finance, which involve a substantial share of knowledge work. These conclusions rest on our detailed analysis of 2,000-plus work activities for more than 800 occupations.

The technical potential for automation differs dramatically across sectors and activities. As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The discussion tends toward a Manichean guessing game: which jobs will or won't be replaced by machines? In fact, as our research has begun to show, the story is more nuanced. While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail. Automation, now going beyond routine manufacturing activities, has the potential, as least with regard to its technical feasibility, to transform sectors such as healthcare and finance, which involve a substantial share of knowledge work. These conclusions rest on our detailed analysis of 2,000-plus work activities for more than 800 occupations.