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Artificial intelligence gives auto manufacturing a boost


The auto industry has had a challenging couple of years. Demand is shifting, key components have been hard to get and workers are leaving the sector. Thankfully, AI in car manufacturing could provide a solution to all of these problems. AI has been steadily rising in manufacturing -- and after recent disruptions, it'll likely grow even faster. Here's a look at some of the ways this technology is improving auto manufacturing today and tomorrow.

Hitting the Books: How much that insurance monitoring discount might really be costing you


Machine learning systems have for years now been besting their human counterparts at everything from Go and Jeopardy! to drug discovery and cancer detection. With all the advances that the field has made, it's not unheard of for people to be wary of robots replacing them in tomorrow's workforce. These concerns are misplaced, argues Gerd Gigerenzer argues in his new book How to Stay Smart in a Smart World, if for no other reason than uncertainty itself. AIs are phenomenally capable machines, but only if given sufficient data to act on. Introduce the acutely fickle precariousness of human nature into their algorithms and watch their predictive accuracy plummet -- otherwise, we'd never have need to swipe left. In the excerpt below, Gigerenzer discusses the hidden privacy costs of sharing your vehicle's telematics with the insurance company.

Industrial Robots Vs (or With?) Cobots


Apart from being unsafe for workers, and thus requiring specific safety measures within their working area, industrial robots are also exceedingly expensive and difficult to set up and redeploy. Since the early 60s, manufacturers have been using industrial robots to automate their manufacturing processes. Nevertheless, along the way, while providing an undoubted productivity boost, industrial robots have also gradually shown several limitations and pain points. Apart from being unsafe for workers, and thus requiring specific safety measures within their working area, industrial robots are also exceedingly expensive and difficult to set up and redeploy, which often make them a burdensome investment, especially for SMEs. Thus, the cobots, a new generation of robots, have rapidly made its way into the manufacturing industry and reshaped the whole robotics world.

Why AI-Fueled Manufacturing Will Become a Major Trend


In the fight to stay competitive, manufacturers will look to AI technologies to fuel a successful operational transformation. With industry 4.0 in full force, manufacturers are pressured to stay competitive. Over the past year, there has been a massive industry-wide shift in the adoption of AI technology to keep up with the demand from customers. We've already seen one-third of IT professionals surveyed globally say their business is now using AI, with 43% saying their company accelerated their AI rollout. By utilizing AI, manufacturers can achieve greater operational efficiency and resilience – while generating cost savings and aiding customer growth, retention, and acquisition.

Overcoming the barriers of AI-led digitization with human intelligence


Implementing AI on the road to Fourth Industrial Revolution (4IR)-readiness offers unprecedented opportunities for manufacturers. Manufacturing lighthouses are the trailblazing businesses adopting 4IR technologies at scale in their plants. These industries are already sustainably capitalizing on AI's ability to enable manufacturing lighthouses to make predictions and decisions, realizing many competitive, financial and operational advantages and efficiencies. Predictive maintenance, for example, already makes possible increases in asset productivity of up to 20%. With AI offering so much scope for growth in manufacturing, what is holding businesses back from adopting the Industrial Internet of Things (IIoT)?

AI Holds the Key to Automation in the Food Industry


Automation technology has been on a path of steady growth for years. Having been one of the top industry trends in 2022 based on extensive data evidencing its increasing importance in the food sector, it is safe to assume that these newfound solutions are here to stay, and for a reason. The future of manufacturing revolves around Industry 4.0, and AI is an intrinsic part of how product distribution practices are morphing to make room for machine learning and smart solutions. With this new era fast approaching, it is critical that manufacturers turn to automation and AI to deal with emerging trends within the food and beverage industry. The Covid-19 pandemic has accelerated the rise of new digital technologies, and as we emerge from the earlier, more challenging stages of the pandemic, we are faced with a world that relies even more extensively on automation.

How Modern Technology is Driving the Future of Manufacturing


The manufacturing industry includes a broad range of businesses varying in size, from small manufacturers producing limited quantities of items to multi-national organisations involved in the large-scale production of manufactured goods. This industry encompasses manufacturers of food and beverages to textiles, chemical manufacturing and even heavy machinery. As an industry, manufacturing contributes around $100 billion to the Australian GDP annually (ABS, 2020). Thus, an industry with such varying degrees of complexity, breadth and scale is one that seeks to maximise the broad benefits of cloud technologies. Regardless of the end product, commonly faced challenges experienced within the manufacturing industry include innovation, risk management, operational efficiency and cost optimisation, remaining sustainable and time to market.

'Killer robots': Will they be banned?


These aren't the drones that deliver your online order. Loaded with cameras, sensors, and explosives, their mission is to drive themselves to a target with an algorithm in the driver's seat. They destroy themselves along with the target, leaving behind just a pile of electronic detritus. Increasingly, these sorts of weapons are the stuff of a manufacturer's promotional materials rather than science fiction movies. From today, a United Nations conference of 80 countries gathers in Geneva to debate whether to ban them or at least regulate them more strictly.

Advanced Manufacturing 50: The most promising advanced manufacturing startups of 2022 - CB Insights Research


The Advanced Manufacturing 50 is CB Insights' annual list of the 50 most promising private advanced manufacturing companies in the world. This year's inaugural winners cover everything from factory analytics & artificial intelligence (AI) to industrial internet of things (IIoT) cybersecurity. CB Insights has unveiled the winners of the first annual Advanced Manufacturing 50 -- a list of the top private advanced manufacturing companies working to promote faster, safer, more efficient, and more sustainable R&D and production. Some of this year's winners aim to provide robotic systems to help manufacturers increase productivity and reduce labor costs. Others are developing advanced analytics that will allow manufacturers to maximize the efficiency and quality of their processes, systems, equipment, and more.

Will 'connected cars' persuade drivers to pay for a high-spec ride?

The Guardian

When a customer said they had driven across three US states, from Texas to North Carolina, to get their car fixed, Tesla servicer Jason Hughes knew something must be up. It turned out to be an unusual problem: the Model S had lost a third of its battery range in an instant, while it was parked on a driveway. One of the US electric carmaker's big selling points is that it is constantly connected to its vehicles via mobile networks, offering software updates and entertainment downloads "over the air", or OTA. That remote connection could be revolutionary for the industry, opening the door for self-driving features to be downloaded and TV shows to be livestreamed in high definition. But the connected car is having teething problems.