Arthur Renowitzky can't help but command attention as he walks down the street on a sunny autumn morning. A driver lowers her window to flash a smile and a thumbs-up. "You got this," she says. Renowitzky has been paralyzed since 2007 after being shot in the chest for $20 and a fake gold chain. But he can stand and walk, using crutches for balance, when wearing an exoskeleton suit with motorized hips and knees powering his movements.

Nicola Mortimer, head of business products, marketing and operations at Three Ireland, on how machine learning can drive efficiency rather than drive people out of their jobs. Machine learning is predicted to be an integral part of more than 300m new smartphones sold this year. So, should we be excited or fearful for our jobs? It has been predicted that machine learning capabilities will be present in more than 20pc of smartphones sold globally in 2017. With few devices more ubiquitous in the developed world than the smartphone, machines that learn will now be at the fingertips of a large percentage of the population.

Artificial intelligence (AI) is seemingly everywhere today. Whether it's using a virtual assistant like Siri or Alexa, improving sales insights through analytics, or hiring the best talent with AI-based recruiting software, many businesses have already started incorporating this technology into their everyday processes. While you may not necessarily need to make artificial intelligence the core of your operations right now, most experts agree that AI's role and importance in business will only continue to grow. Nine members from Forbes Technology Council each shared a way that companies can begin preparing for AI right now. I think for smaller companies, it is too early to create a plan, but I do think it is important to stay updated on AI and how it is being implemented in an applicable industry.

Robotics and artificial intelligence could affect almost a third of UK jobs by the 2030s, according to a study. However, the report from accountancy firm PwC also predicted that the nature of some occupations would change rather than disappear. It added that automation could create more wealth and additional jobs elsewhere in the economy. Jobs in manufacturing and retail were among the most at risk from the new technologies, the report said. The study estimated that 30% of existing jobs in the UK were potentially at a high risk of automation, compared with 38% in the US, 35% in Germany and 21% in Japan.

His art practice follows two main paths. On one hand, Tresset presents theatrical installations in which robotic agents are actors. He also crafts the computational systems driving the robots so that their behavior can be perceived as artistic, expressive and even obsessive. These systems are influenced by research into actual human behavior--more specifically, how humans make marks or draw, how humans depict other humans, how humans perceive artwork, and how humans relate to robots. Originally a painter, Tresset is part of a generation of artists coming out of Goldsmiths College's computing department.

The guitarist of the band'Lightningfan' Wang Hongbin (C) creates lightning with a Tesla Coil in a village outside of Fuzhou in China's Fujian province in June 2013. The Tesla Coil invented by Nikola Tesla in 1891 is a transformer that produces vast amounts of voltage at high frequencies that creates long bolts of electricity like lightning. Nikola Tesla was one of America's greatest inventors and carries a mystique unlike any other immigrant to the United States. Before he became the name of a car company and a character in modern science fiction novels, Nikola Tesla immigrated to the United States and turned into an inventor extraordinaire. Tesla is credited with many important innovations and his ideas are still talked about today.

Artificial intelligence has been a dream in technology ever since Alan Turing first wrote his seminal paper, Computing Machinery and Intelligence, Now, thanks to advances in hardware power and algorithm design, AI is a growth industry – and it has no shortage of vocal advocates. These are some of the most vocal and influential leaders working on artificial intelligence, robotics, chat bots, virtual reality, the ethics of autonomous software and vehicles and more. Organizes the London AI meet up and the annual Research and Applied AI Summit. Thanks to all who kicked off discussion on the back of my piece on "6 areas of #AI/ML to watch closely" Keep going! She has expertise in designing intelligent systems into working AI systems to help understand natural intelligence.

Artificial intelligence (AI) is set to hit the road in an alternative fashion to driverless cars, thanks to an AI powered concept tyre from Goodyear. The tyre maker debuted the Eagle 360 Urban, a 3D printed sensor-leaden spherical tyre with feeds back road data into an AI'brain' allowing for the tyre to by dynamically adjusted to suit changing road conditions. Covered in a super-elastic polymer that acts as a form of bionic skin for the tyre, and a morphing tread, the Eagle 360 Urban can use actuators to dynamically change the tread design of the tyre without compromising its support of the vehicles it is connected to. This allows the tyre to be adjusted for different driving conditions on the fly, for example in wet conditions dimples can be added to the treads to provide extra grip, while in dry conditions the tyre can be smoothed out to allow for smoother driving. If the bionic skin is damaged, the tyre's sensors will detect the problem and prompt the tyre to rotate to avoid contact of the damaged section with the road, thereby reducing pressure on that section of the tyre and allowing a self-healing process to start through the use of material that react physically and chemically together to form monocular bonds to repair punctures.

Analysis Yahoo! last month married clustered compute to Google's machine learning. The firm's engineers released TensorFlowOnSpark (TFoS), getting the Google Brain Team's machine-learning framework up and running on Spark and Hadoop clusters. Spark is the open-source cluster framework overseen by Apache and employed by Yahoo!, Netflix and others processing petabytes of data across thousands of nodes. TFoS code is available on GitHub under an Apache licence and for use on Amazon's EC2. The idea of TFoS is deep learning on massively clustered systems – and all the benefits of processing and storage that entails – only in a Google-free setting and using an architecture that's "easy" to build and that also delivers fast throughput.

Military delegates arrive at the Great Hall of the People for a meeting ahead of Saturday's opening ceremony of the National People's Congress (NPC), in Beijing, China March 4, 2016. As Washington fiddles, China is investing billions in U.S. startups with cutting-edge products that could have military applications at the same time it is dialing back investments in less critical American industries such as entertainment. A New York Times story this week says that among the startups are companies working on artificial intelligence for military robots, rocket engines, ship sensors and printers that could produce high-tech components such as computer screens for military jets. Many of the firms making such investments are owned by companies controlled by the Chinese government or connected to its leaders. A blog post last December on the website of CB Insights, which tracks startup investments, says that China poured $9.9 billion into new Silicon Valley firms in 2015 and made an additional $3.5 billion in tech investments in the first nine months of last year.