Author: Carter

Devices in a broad range of edge AI applications are increasingly at risk of hacking or tampering, with the stakes varying greatly depending on how much the device can impact and interact with human life. Design methods and protection techniques must now be included up front in the design cycle for optimal protection of consumers and companies as the quantum threat looms. In today’s factories, homes, and streets, AI-enabled, Wi-Fi-connected, and mobile devices are promising ever greater convenience and optimization of routine tasks. These edge devices include the Internet of Things (IoT), home appliances, industrial devices, robots, and vehicles. Wherever…

Advisors have been seeking ever greater efficiency and more seamless integration between their tools for all 19 of the years I’ve been covering advisor technology.I first explicitly touched on the availability of workflow automation back in 2011 and, two years later, quasi-defined the concept in another piece as the “modern-day convergence of repeatable processes meeting technology.”From that time onward, workflow creation was primarily a specialization often found in CRM platforms. However, what I heard from advisors back then and continue to hear today is how time-consuming and tedious it can be to create them.“They don’t like CRM workflows, they hate…

The promise of artificial intelligence was front and center at this year’s CES gadget show. But spicing up a simple machine like a refrigerator with unnecessary AI was also a surefire way to win the “Worst in Show.” The annual contest that no tech company wants to win announced its decisions Thursday. Among those getting the notorious “anti-awards” for invasive, wasteful or fragile products were an eye-tracking AI “soulmate” companion for combating loneliness, a musical lollipop and new AI features for Amazon’s widely used doorbell cameras.Shouting at a ‘bespoke AI’ fridge that also hawks grocery productsSamsung’s “Bespoke AI Family Hub”…

Over the past decade, the digital environment has experienced significant transformations. Developments such as cloud computing, social media, and mobile technology have become integral to daily operations. Additionally, the emergence of the Internet of Things (IoT), wearable technologies, and the expanded reach of technological solutions into previously inaccessible areas have further driven these advancements. Among these, cloud computing has emerged as a key driver, playing a particularly influential role in the evolution of digital business models. Rise of Cloud Computing Engineering Cloud computing engineering began to take form prior to the full development of mobile and social technologies. A key…

Getty Images/CNETNo matter where you hang out online, social media is riddled with scammers looking for targets to swindle or con you out of your cash. But on LinkedIn, it can be especially tricky to weed out wrongdoers because they can be disguised as career opportunities. I’ve had more than a few fake job recruiters contact me — some through LinkedIn, and some, I suspect, by finding me on LinkedIn and then reaching out to me over email.These days, scammers are using AI to write convincing and highly detailed business propositions. Sometimes, they’re very persuasive. But you can keep yourself safer if…

LOS ANGELES, Jan. 08, 2026 (GLOBE NEWSWIRE) — IoT Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Internet-of-Things (IoT) market, today announced that it has selected GE Appliances (GEA), a Haier company, as winner of the “Smart Appliance Company of the Year” award in the 10th annual IoT Breakthrough Awards program. This prestigious recognition marks the ninth consecutive year GE Appliances has earned this top honor, underscoring the company’s industry-leading achievements in smart and connected home technology. GE Appliances continues to redefine the way people live, cook, clean and interact with…

Image by Author   # Introduction  Learning AI today is not just about understanding machine learning models. It is about knowing how things fit together in practice, from math and fundamentals to building real applications, agents, and production systems. With so much content online, it is easy to feel lost or jump between random tutorials without a clear path. In this article, we will learn about the 10 of the most popular and genuinely useful GitHub repositories for learning AI. These repos cover the full spectrum, including generative AI, large language models, agentic systems, mathematics for ML, computer vision, real-world projects,…

New models and frameworks support simulation, training and deployment, with partners debuting humanoid and industrial robots built on the NVIDIA stack.Featured image courtesy of Caterpillar (top left), LEM Surgical (top right), AGIBOT (bottom left) and Franka Robotics (bottom right). NVIDIA announced new open models, frameworks and AI infrastructure aimed at physical AI, along with robots from partner companies. NVIDIA said the offerings support robot development workflows from training and simulation through deployment, including systems intended to help robots learn and perform a range of tasks. Global industry leaders including Boston Dynamics, Caterpillar, Franka Robotics, Humanoid, LG Electronics and NEURA Robotics are using the NVIDIA robotics…

Snowflake Announces Intent to Acquire Observe to Deliver AI-Powered Observability at Enterprise Scale The acquisition will expand Snowflake’s capabilities in a $50+ billion IT operations management software market1, positioning it to deliver next generation AI-powered observability based on open standards Observe’s leading observability platform will integrate directly into Snowflake, extending the value of the AI Data Cloud to allow enterprises to ingest and retain 100% of their telemetry data at lower cost. By combining Observe’s AI Site Reliability Engineer (SRE) with Snowflake’s high-fidelity data, teams can move from reactive monitoring to proactive, automated troubleshooting, resolving production issues up to 10x…

99% of Web3 projects earn no cash. Still, many firms spend large sums on marketing and events each month. This report looks at their survival code and the facts behind the burn.99% of Web3 projects lack cash flow, paying costs with tokens and funds, not sales.Early listings drive high marketing spend and kill the core product edge.Fair P/E of the top 1% proves the rest lack real value.Early TGEs let founders exit regardless of success, fueling a distorted loop.Survival of the 99% stems from a system flaw built on investor loss, not business gains.🇰🇷 한국어로 읽기 →“Survival requires proven revenue.”…