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.
Tesla Powerwalls and Solar Roof, two of Elon Musk's innovative strategies to get consumers onto the solar grid, require waits of six months or longer. The company says customers are hungry, but it doesn't have the product yet. Tesla is cutting the price of the Model 3, as it aims to make its best-selling product more affordable, and is discontinuing versions of other vehicles. Tesla said on Monday that it's reducing the price of the Model 3 by $1,000 to $38,990. The company will no longer sell the standard range versions of the Model S and Model X, raising the minimum costs consumers will have to pay for those cars.
Artificial intelligence (AI) is rapidly finding applications in nearly every walk of life. Self-driving cars, social media networks, cybersecurity companies, and everything in between uses it. But a new report published by the SHERPA consortium – an EU project studying the impact of AI on ethics and human rights – finds that while human attackers have access to machine learning techniques, they currently focus most of their efforts on manipulating existing AI systems for malicious purposes instead of creating new attacks that would use machine learning. The study's primary focus is on how malicious actors can abuse AI, machine learning, and smart information systems. The researchers identify a variety of potentially malicious uses for AI that are well within reach of today's attackers, including the creation of sophisticated disinformation and social engineering campaigns.
As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data.
This AI, meanwhile, simulates day from a night picture. This is valuable, as creating self-driving cars that work and can locate themselves precisely in all conditions - day, night, fog, rain, snow and so on - requires a lot of data that covers all scenarios. Collecting large amounts of data in all conditions is practically very difficult, as certain conditions (such as snow) occur very rarely in some areas. Instead of collecting more data, scientists have come up with this night-to-day workaround. This could also lead to better night vision for the military, airplane pilots and human drivers.
Elon Musk's brain-computer interface company Neuralink has finally broken its silence. Since the company was formed in 2016, it has kept its plans secret, but in a presentation on Tuesday night it showed off its vision and explained what the firm has done so far. At the event, the company unveiled a brain-computer interface – a technology that allows machines to read brain activity. Neuralink says its device will have around 3000 surgically implanted electrodes, each of which will be able monitor around 1000 neurons at a time. The electrodes will be attached to around 100 extremely thin threads, between 4 and 6 micrometres wide, which is much less than the width of a hair.
Drone delivery service Wing is launching its own air-traffic control app to keep its craft safe in the skies. The company, owned by Google-parent Alphabet, recently started making deliveries in parts of Australia and Finland. Wing's new iOS and Android app aims to'help users comply with rules and plan flights more safely and effectively,' providing a rundown of airspace restrictions and hazards as well as events nearby that could interfere. The new app, Open Sky, is being released to drone flyers in Australia this month according to Wing. 'The design of our software has required a detailed understanding of flight rules -- along with buildings, roads, trees, and other terrain -- that allow aircraft to navigate safely at low altitudes, and we've used it to complete tens of thousands of flights on three continents,' Wing said in a blog post.
ANSYS and BMW have announced plans to create the first holistic simulation toolchain for developing autonomous vehicle (AV) technologies. The simulation tool chain will enable highly automated and autonomous driving (AD) with the first vehicle launch expected in just two years. BMW Group is leveraging ANSYS' engineering simulation solutions to speed up the development of a safety-focused solution for the validation of AD systems. The multi-year agreement drives the development of BMW Group's Level 3 offering and Level 4-5 technology, delivering high/full automation for the highly anticipated BMW iNEXT, expected to launch in 2021. The new automated simulation toolchain will make efficient use of BMW s large amount of sensor data through intelligent data analytics and the creation of scenarios according to statistical relevance and AD system sensitivity.
As a McKinsey report suggests, there's an estimated $766 billion total wages in the U.S. for predictable physical work, which is more likely to be automated by robots. The top 3 markets where the most predictable physical work resides are 1) accommodation and food, 2) manufacturing, 3) transportation and warehousing. We are facing a global problem of shrinking labor forces driving up needs for automation. Especially for countries like Japan, its population is expected to shrink by 24% by 2050, and its working-age population is set to decline at an even faster pace than the overall population. Labor shortages drive up salaries in industries like e-commerce fulfillment, where the tasks are highly repetitive and openings are hard to fill.
The field of Robotic Process Automation (RPA) has seen a major boom thanks to the use of AI tools that make it easier to streamline the development of software robots. At Transform 2019 this week, experts weighed in on what will be required to take RPA from a simple point solution to a robust digital factory. The goal is not so much to replace humans, but to find better ways to complement human workflows. Telecom giant CenturyLink discovered that scaling and managing a bot workforce required a thoughtful approach. Brian Bond, consumer vice president at CenturyLink, said things started changing when they got up to around 100 bots.
NASA introduced the term "digital twin" in a 2010 technology roadmap describing the tools of space travel. Almost a decade later, "digital twin" has emerged as a key tool. It enables a terrestrial space shot. We are being shown the global Industry 4.0's evolution of Digital Twin: from automation to autonomy. We talk about "digital transformation" in the Fourth Industrial Revolution, but "digital" has been around since the Third Revolution.