UiPath came into being in the year 2005. And the people behind this company were Marius Tirca and Daniel Dines, two Romanian entrepreneurs. Today, UiPath has a global reach and is famous for the platform it has created for Robotic Process Automation (RPA). Although it began operating from Romania, it opened its branches in Tokyo, Singapore, Bengaluru, New York, and London soon. This company, headquartered in New York, has a wide loyal client base today.

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Here's what AI can learn from biology. In building the world's first airplane at the dawn of the 20th century, the Wright Brothers took inspiration from the "insightful" movements of birds. They observed and reverse-engineered aspects of the wing in nature, which in turn helped them make important discoveries about aerodynamics and propulsion. Similarly, to build machines that think, why not seek inspiration from the three pounds of matter that operates between our ears? Geoffrey Hinton, a pioneer of artificial intelligence and winner of the Turing Award, seemed to agree: "I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain."

We think of AI as an arbiter of neutrality, but when fed biased data it churns out biased results. At the beginning of 2017, Amazon's machine learning division shuttered an artificial intelligence (AI) project it had been working on for the past three years. A team in its machine learning wing had been building computer programmes designed to review job applicants' resumes, giving them star-ratings from one to five – not unlike the way shoppers can rate products purchased from Amazon online. However, within a year of the project beginning, the company realised its system was biased against female applicants. The software was trained to vet applicants by observing patterns in resumes submitted to the company over a ten-year period, the majority of which – due to the male-dominance of the tech industry – came from men.

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As the internet weaves its tentacles more and more into the lives and homes of people around the world and artificial intelligence (AI) becomes more mainstream, does this put more and more people at risk at the hands of the international scamming organizations? In the past few weeks, a number of scams have been reported involving both small and large sums of money. In one, a Canadian retiree purchased a California condo. He had his bank wire a deposit to the sellers California bank account and waited for instructions on paying the outstanding balance of $820,000 Cdn. An email supposedly from the realtor handling the sale advised the balance should be wired to a different bank than the one the seller paid the deposit to.

The Internet & Television Association (formerly the National Cable & Telecommunications Association, and commonly known as the NCTA) estimates that 80% of residences in the United States have access to gigabit speeds from cable companies via HFC and FTTH. Cable operators seek to solidify their position within consumer markets for broadband services as wireless carriers seek to leverage the enhanced mobile broadband (eMBB) component of 5G to gain a foothold for indoor residential and small business services. With little competition in the consumer in-home segment, certain wireless carriers see fixed wireless as a pathway to early revenue as their vendors work diligently to ensure eMBB services may be provided on a mobility basis rather than simply portable or fixed wireless solutions, which shall be predominate initially. A battleground is emerging for consumer broadband between cable companies espousing 10G (meaning symmetrical 10 Gbps speeds delivered over hybrid fiber-coaxial networks and not tenth generation) versus wireless carriers such as Verizon Wireless who will pursue the residential and small business market with fixed wireless 5G. Earlier this year, AT&T likewise stated that 5G will be a substitution for fixed-line broadband within the next three to five years. However, we see the consumer segment as a major challenge area for mobile communications service providers due to a few key factors including market inertia and deployment of WiFi6 devices.

"AI will fundamentally change the way we live and work. Therefore, we need to get it right and develop this technology in a way, which ensures the trust and security of our citizens while benefitting our economy," a commission spokesperson told EUobserver. In the EU, the largest and most well-established companies are likely to become first adopters of AI technologies, such as automotive companies in Germany or finance firms in the UK. However, the LinkedIn findings suggest that the current market ecosystem for AI in Europe is uneven across both gender and demographic lines. The EU Commission president-elect Ursula von der Leyen has promised that during the first three months in office, the college of commissioners will put forward legislation for a "coordinated approach on the human and ethical implication of AI".

Artificial intelligence has moved into the commercial mainstream thanks to the growing prowess of machine learning algorithms that enable computers to train themselves to do things like drive cars, control robots or automate decision-making. But as AI starts handling sensitive tasks, such as helping pick which prisoners get bail, policy makers are insisting that computer scientists offer assurances that automated systems have been designed to minimize, if not completely avoid, unwanted outcomes such as excessive risk or racial and gender bias. A team led by researchers at Stanford and the University of Massachusetts Amherst published a paper Nov. 22 in Science suggesting how to provide such assurances. The paper outlines a new technique that translates a fuzzy goal, such as avoiding gender bias, into the precise mathematical criteria that would allow a machine-learning algorithm to train an AI application to avoid that behavior. "We want to advance AI that respects the values of its human users and justifies the trust we place in autonomous systems," said Emma Brunskill, an assistant professor of computer science at Stanford and senior author of the paper.

Rotterdam.AI organizes quarterly gatherings for Artificial Intelligence practitioners focusing on lessons learned from applying AI. Discover: 15 min applied AI talks of industry peers sharing insights and actionable advice based on hands-on experiences applying AI. Check out our applied AI talks below! Share: AI Clinic session for practitioners in the audience to share their specific challenge applying AI and gather initial feedback from industry peers and fellow practitioners. Connect: Peer-to-Peer networking sessions on Machine Learning, Natural Language Processing and Computer Vision to connect with new and leading practitioners in your technology realm.