The 2018 technology breakthroughs worth remembering, from 3-D metal printing reshaping manufacturing costs to sensing cities built around urban traffic data.
Eight ways the Internet of Things will change how we live and work, from home appliances that track and reorder to offices controlling climate and access.
Is the Facebook 10-year challenge a facial recognition dataset? What side-by-side photos offer AI training on age progression, and why experts are uneasy.
Third-party Instagram apps that beat the built-in filters, starting with BLACK and Camera Noir, and why an algorithmic feed makes better photos matter more.
What IBM Cloud Kubernetes Service offers: Docker containers, built-in security, automated deployment and scaling, and how containers move legacy apps over.
The programming languages to know in 2019, based on the TIOBE community index rankings, including Java, C, Python and the surprise rise of Visual Basic .NET.
Popular Android apps that make daily tasks easier, including Evernote for cloud-based notes and Any.do for task lists, calendars and deadline reminders.
How AI, machine learning and deep learning actually differ, starting from what an algorithm is and how the three nest inside one another in real systems.
Microsoft ends all Windows 7 support in January 2020, cutting security patches and Internet Explorer. What the deadline means for machines still running it.
Researchers at Drexel built spray-on antennas from MXene powder and water that match metal antennas, opening faster, cheaper IoT deployment on any surface.
Five practical steps to protect your business from cybercrime, from cloud backup systems to defending against ransomware, phishing and denial-of-service.
Why AI systems fail without good data management: how retrieval, context, metadata and unstructured data shape whether an AI model makes useful decisions.
Twitter is bringing the chronological timeline back to Android, letting users switch between top tweets and most recent posts. How the new option works.
The technology startups are using to disrupt brick and mortar retail, from automated checkout and smart carts to digital displays and inventory management.
How marketers use artificial intelligence to track buying decisions across channels, target audiences with less bias and personalize the shopping experience.
A practical look at building an AI strategy: assess readiness, pick the problems worth solving, understand your customers and read the industry trends first.
What AWS IoT Core offers a business: connecting devices at scale with little human involvement, and turning the data they generate into operational advantage.
Mobile pay, in-store pickup and price comparison on the shop floor pushed Cyber Monday to record spending. How technology is reshaping e-commerce and retail.
Why dark web mystery boxes took over unboxing videos, how anonymous sellers use cryptocurrency to stay untraceable, and the risks buyers accept to film them.
Choosing the right platform for your mobile app: how iOS and Android differ on target audience, regional reach and the design guidelines each vendor sets out.
What separates SaaS, PaaS and IaaS as cloud computing models, what each one takes off your plate, and which type of business is the right fit for each model.
Inside Ping An's move from insurance into banking, healthcare, smart cities and housing, and the innovate-and-fail-fast culture funding its tech investment.
Smart doorbells, cameras and connected refrigerators are changing the home. How the Internet of Things turns everyday appliances into sources of useful data.
A guide to planning cloud infrastructure and architecture design: matching resource usage to availability, sizing for real demand and handling app licensing.
Ten cloud computing trends worth tracking, including growth in IaaS, PaaS and SaaS, rising storage capacity, hybrid cloud, automation, GDPR and security.
iOS or Android for your mobile app? The factors that decide it: where your audience lives, how much each user base spends and how apps get monetized on each.
Microfinance carries high transaction costs and slow documentation. How blockchain could cut both and get credit to small businesses with far fewer hurdles.