Alif Semiconductor is targeting one of the biggest barriers to embedded AI adoption: the cost and complexity of getting started. The semiconductor company has introduced two low-cost evaluation boards, the SK-B1 and SK-E1C StartKits, designed to help developers test on-device AI and machine learning workloads on its Balletto and Ensemble microcontrollers. The boards bring dedicated…
Function Health is expanding its network of AI integrations by allowing members to connect their health data with Muse, Meta’s new personal AI agent. The integration gives Muse access to Function’s lab results and clinician-reviewed health summaries, allowing users to bring personal health context into AI-assisted planning and tracking while retaining control over the connection….
Enterprise AI has a deployment problem that increasingly sits beyond model performance. A widely cited industry estimate suggests that about 95% of enterprise AI pilots fail to reach production, highlighting the difficult transition from a successful demonstration to a system that can operate inside legacy infrastructure, security controls and complex business processes. Think41 is betting…
Singaporean enterprises are moving into a more demanding phase of AI adoption: proving that deployments can deliver measurable returns while meeting security, compliance and infrastructure requirements. A new Dell Technologies study suggests the biggest obstacles are no longer enthusiasm for artificial intelligence, but data access, legacy systems, energy constraints and the lack of coordinated AI,…
ModelBest and the OpenBMB open-source community have released MiniCPM5-2B, a compact language model designed to bring reasoning, tool use and coding capabilities to PCs, smartphones, robotics and other resource-constrained devices. The 2.5-billion-parameter model is accompanied by training data, recipes and infrastructure, making the release as much about reproducible AI development as the model itself. ModelBest…
