Collaborating Authors

AI and Machine Learning Algorithms are Increasingly being Used to Identify Fraudulent Transactions, Cybersecurity Professional Explains


The retail banking sector has been hit with numerous scams during the past few years. Cybercriminals are now also beginning to increasingly go after much larger corporate accounts by launching sophisticated malware and phishing attacks, according to Beate Zwijnenberg, chief information security officer at ING Group. Zwijnenberg recommends using advanced AI defense systems to identify potentially fraudulent transactions which may not be immediately recognizable by human analysts. Financial institutions across the globe have been spending a lot of money to deal with serious cybersecurity threats. They've been using static, rules-based verification processes to identify suspicious activity.

How Data and AI are Redefining Living Process


Today's billion-dollar unicorn start-ups have the advantage of building these capabilities into their process design at the outset. In contrast, businesses running on more-established processes may find themselves encumbered by inefficient legacy systems, rigid silos and fixed schedules. Most were designed and built decades ago to solve for specific needs, with a premium placed on consistency and simplicity rather than on speed, scale and agility. Fortunately, the evolution of technology has lifted a lot of the constraints facing seasoned enterprises, so the past doesn't have to dictate the future. Mature companies can incorporate today's rapidly advancing and increasingly accessible tech enablers to create Living Process.

Boswin Robotics – STEAM and Collaboration


At Boswin Robotics , we support the philosophy of mind and physical building! We offer a wide variety of robotics training programs, including primary robotics, junior robotics programs and competitive robotics program, in Mississauga, Oakville and the Brampton area.

ReverseAds Announces The World's First True Alternative To Search Advertising


ReverseAds announced the launch of its reverse-engineered search advertising solution that uses Big Data, A.I., and predictive modeling to help brands serve intuitive ads everywhere buyers go online after their initial search. ReverseAds addresses the need for predictive multi-channel ad campaigns that provide total visibility of the buyer's journey, allowing brands to move beyond underperforming search ads. This approach to digital advertising prioritizes ROI and CPA compared to the CPC bidding model provided by Google. With ReverseAds, considered purchase brands gain access to unprecedented amounts of intent data and a USPTO provisional patent-approved Assignment Algorithm. The algorithm uses predictive learning A.I. to determine which keywords will drive a business's highest total conversion.

Proximity matters: Using machine learning and geospatial analytics to reduce COVID-19 exposure risk


Since the earliest days of the COVID-19 pandemic, one of the biggest challenges for health systems has been to gain an understanding of the community spread of this virus and to determine how likely is it that a person walking through the doors of a facility is at a higher risk of being COVID-19 positive. Without adequate access to testing data, health systems early-on were often forced to rely on individuals to answer questions such as whether they had traveled to certain high-risk regions. Even that unreliable method of assessing risk started becoming meaningless as local community spread took hold. Parkland Health & Hospital System, the safety net health system for Dallas County, Texas, and PCCI, a Dallas-based non-profit with expertise in the practical applications of advanced data science and social determinants of health, had a better idea. Community spread of an infectious disease is made possible through physical proximity and density of active carriers and non-infected individuals.

I'm a Data Scientist, Not Just The Tiny Hands that Crunch your Data - KDnuggets


This comes out as a personal observation, but I'm sure that many of you will share the same feeling upon reading this post. I'm a data scientist, and I like my job because I think it covers various interdependent domains that make it rich and stimulating. However, I sometimes have to deal with people who don't exactly understand this role in the organization nor the field in general. This, quite frankly, is what makes things a little bit frustrating for me and also for a lot of people I know. Before you keep reading, I should mention that I don't aim to discourage anyone from aspiring to this role.

3D-printed brain implant 'could be used to treat human patients with paralysis'

Daily Mail - Science & tech

Scientists are creating 3D-printed brain chips which could be used to treat nervous system conditions, including paralysis, by detecting and firing electrical signals. The chip has been developed and successfully tested on animals, and researchers are now hopeful it can be adapted for use in humans. It will also be able to connect to a computer and offer a host of next-generation medical benefits, scientists say. Linking the human brain to a computer is usually the work of science fiction writers and filmmakers, but moves are underway to make the technology a reality. Last month, Elon Musk hosted a high-profile event where he spoke about the developments with his own version of brain chip technology, Neuralink.

What's inside Gewirtz's home office? 20 years of refinement and evolution


Welcome to my home office tour. This is actually just one of four areas in the house where I regularly work. The tour you'll see in the video above shows you where I do most of my serious writing, video editing, and research. I also use it as a talking head studio for interviews and Zoom meetings. Many of you have seen my workshop and fab lab spaces in previous videos. Those are where I do most of the DIY IT projects for ZDNet. I also work by our living room TV.

Before pre-orders open, an Xbox mic drop: Microsoft acquires Bethesda Softworks


If you were on the fence about which new video game console to pre-order, maybe this will push you over the edge. Microsoft is acquiring ZeniMax media in a $7.5 billion cash deal that brings Bethesda Softworks into the Xbox family. Even if you're not familiar with Bethesda by name, you probably know some of the big series it publishes, like Doom, Fallout, Wolfenstein, and Elder Scrolls. Microsoft confirmed the acquisition in a Monday morning announcement, with just over 24 hours to go until the Sept. 22 start of Xbox Series S and X pre-orders. There's no other way to characterize it: This is a power move. As Microsoft and Sony line up and make their case to games-loving consumers on which console to buy in 2020, the Bethesda acquisition amounts to a mic drop.

Playing With CrowdStrike Machine Learning Detection


Recently one of my clients received a well-performed phishing attack with an "invoice", that like a lot of attachments was malware. Everything seemed to be legit except that the invoice ended in one of my honeypot inboxes. I usually deploy some email addresses, not in use active use by the company, that I monitor in order to catch attacks. The malware seems to be a trojan focused on stealing information. Furthermore being a fresh sample at the beginning is was only detected by six detection engines in VirusTotal, right now it detected by 18 over the 60 available on VirusTotal.