Meta is upgrading its Muse Spark AI model to compete with Anthropic and OpenAI in the AI coding market, led by AI chief Alexandr Wang.…
A growing number of therapy patients are using AI chatbots between sessions, but a new survey reveals most psychologists feel unprepared to address this trend, raising concerns about clinical boundari…
Humanoid robots attract hype, but task-specific robots are poised to dominate the market due to recent advances in sensing and AI that enable machines to perceive and interpret the physical world with…
Manufacturers are rapidly adopting artificial intelligence, but many are failing to see significant returns due to weak procurement discipline rather than flawed technology, according to a Forbes anal…
Ryan Woodley argues that companies must cut through AI hype to build a pragmatic cybersecurity strategy, focusing on practical risk management rather than over-hyped solutions. The article emphasizes …
Enterprises are struggling with AI deployments that deliver incorrect answers, not due to data issues but because of flawed knowledge architecture, according to a Forbes article by Daniel Fallmann.…
Forward-deployed engineers (FDEs) are emerging as a key role in the AI-driven job market, according to a Forbes analysis. The piece examines how technical expertise remains crucial as AI reshapes empl…
David Henkin argues that faster access to critical information is now a key driver of innovation and competitive advantage, with AI playing a central role in enabling this shift.…
Data centers must be designed with flexibility and certainty to meet the demands of AI workloads, according to Abhilash Kunnatoor Margabandu in Forbes. The article emphasizes the need for infrastructu…
Lori Schafer writes in Forbes that the future competitive advantage will come from building organizations that know how to work with AI responsibly, operationally, and at scale, not from access to AI …
Forbes contributor Austin Berglas argues that human-led cybersecurity services are not being replaced by AI but are instead expanding in scope and importance, contrary to fears that AI would render su…
Forbes Councils member Vasudeva Akula identifies three AI implementation gaps that hinder subscription growth: lack of actionable insights, failure to scale personalization, and inadequate integration…
AI memory is emerging as a key competitive advantage in enterprise intelligence, transforming systems from one-time interactions into context-aware assistants that enable personalization, continuity, …
Tanmay Ratnaparkhe outlines strategies for building scalable AI infrastructure for social media platforms, emphasizing the need for robust data pipelines, real-time processing, and modular architectur…
Forbes Councils Member Riaz Raihan argues that artificial intelligence may save more energy than it consumes, positioning AI as a powerful ally for sustainability. The piece explores how AI can optimi…
Forbes contributor Iri Trashanski argues that the future of agentic AI lies at the edge, not solely in the cloud, as edge computing enables real-time decision-making and reduces latency for autonomous…
Data centers, which power AI and cloud computing, are being built at a record pace as companies race to meet surging demand for digital services. The facilities house servers and networking equipment …
Two major AI industry PACs are spending millions on elections to influence lawmakers crafting AI legislation, each pushing for their own version of regulation.…
Jamshir Qureshi writes in Forbes that AI hallucination attacks, including slopsquatting, pose a growing security risk, and recommends proactive trust verification for software dependencies to close th…
Memory-chip stocks including Samsung, SK Hynix, and Micron have entered bear-market territory, falling more than 20% from recent highs, as investors grow harder to impress despite record profits and g…