A new AI capability that delivers analysis-ready Media Intelligence. More than just a product launch, this is a shift in how communications teams monitor, understand and act on media coverage.
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Bonds have long served a simple purpose in investment portfolios. They protect capital while generating predictable income. That formula worked well in an era of stable inflation and steadily declining interest rates. Today, however, the role of traditional bonds is being questioned. Inflation has eroded purchasing power, so real yields struggle to keep pace with the rising cost of living.
FORT LAUDERDALE, FL, April 1, 2026 Qubic’s DOGE mining integration launches today on ASICs, fully separate from the CPUs and GPUs powering Aigarth, Qubic’s AI engine. For the first time, the network mines at full power, while running AI at full power, simultaneously, with no compromise between the two.
Artificial intelligence is rapidly reshaping how businesses interact with data. The promise is simple: ask a question in plain language and get an instant answer. But for many organizations, that promise still falls short. Across marketing, sales, and finance, business data remains fragmented across dozens of platforms, from ad networks and CRMs to analytics tools and internal systems.
Sber has introduced a major update to its AI assistant GigaChat, which is now powered by the new flagship model GigaChat Ultra. The new version empowers the AI assistant to retain facts about users for more personalized communication and solutions, independently search for information online, and deliver text responses in half the time. The new model gives opportunities for both end users and developers—enabling developers to build applied AI products and services on GigaChat Ultra.
Tax refund identity theft is a growing threat in the United States. Last year, the IRS flagged nearly 3.5 million tax returns for potential identity theft, involving $26.9 billion in suspicious refund claims. When criminals use your Social Security number or other personal information to file a fraudulent return, recovery can take months or even years and create serious financial stress.
(Picture Above: Xenco Medical Founder and CEO Jason Haider illustrated above. Illustration by Claudia Emmaneul.) Between the thrum of live music, immersive tech showcases, and celebrity-packed panels, healthcare didn’t just quietly show up at SXSW 2026, it made waves in a way that felt both inevitable and entirely new.
By early 2026, crypto on corporate balance sheets is no longer an experiment but a strategic policy challenge. This transformation has driven the emergence of Digital Asset Treasury Companies (DATCOs): entities purpose-built to manage digital asset treasuries at institutional scale, combining balance sheet exposure with the infrastructure required to operate and deploy these assets effectively.
Many companies like to talk about purpose. And many companies also struggle to carry their values into everyday work. At Soft2Bet, responsibility isn’t treated as an occasional effort. It’s integrated into daily decisions, from how products are built to how the business plans for the future. That difference is something employees pick up on quickly. Not because anyone is asked to “care more,” but because the company’s actions don’t contradict its words.
As CTO of Prove AI, Greg Whalen operates at the sharp edge of one of technology’s most urgent challenges: transforming generative AI from impressive prototype to production-grade, trusted enterprise system. In a landscape defined by rapid model releases and relentless innovation cycles, Whalen’s focus is not on hype or novelty. It is on resilience, governance, and the operational backbone required to make AI systems dependable at scale.
Artificial intelligence has spent the last decade proving it can recognize patterns. It can classify images, translate languages, and predict consumer behavior at scale. But one domain has remained a persistent stress test for true machine intelligence: mathematics. Unlike many real-world tasks where approximation is acceptable, math demands precision. A solution is either correct or it is not. Each step must follow logically from the last.