The AI era isn’t just changing software—it’s complicating it. As systems grow more autonomous and interconnected, traditional monitoring tools are buckling under the weight of “agentic AI” architectures—where multiple AI agents work together, pulling data, invoking tools, and reacting in real time.
At Embedded World North America, BrainChip Holdings (ASX: BRN) unveiled its latest innovation—the AKD1500, a neuromorphic Edge AI accelerator designed to deliver 800 giga operations per second (GOPS) while sipping less than 300 milliwatts of power. For context, that’s an order of magnitude more efficient than typical edge AI chips—and a clear signal that BrainChip is betting big on the future of event-based, brain-inspired computing.
In a move set to reshape the UAE’s digital transformation landscape, Dubai Holding and Palantir Technologies have announced a landmark joint venture named Aither—Palantir’s first UAE-based partnership and one of the most ambitious AI collaborations in the region to date.
When tech investors talk about “AI transformation,” they usually mean sleek startups or cutting-edge models. Beacon Software is taking a different route—by quietly wiring artificial intelligence into the companies that make daily life run.
Lambda, the company behind the Superintelligence Cloud, today announced a multibillion-dollar strategic agreement with Microsoft to deploy large-scale AI infrastructure powered by tens of thousands of NVIDIA GPUs, including NVIDIA GB300 NVL72 systems.
Colt Data Centre Services (Colt DCS) has received planning approval from Hillingdon Council to expand its Hayes Digital Park campus in West London — a £2.5 billion investment that marks one of the UK’s most ambitious data infrastructure projects to date.
Advantech (2395.TW) is doubling down on edge AI innovation through a new collaboration with Qualcomm Technologies, Inc. and Edge Impulse, a Qualcomm company. The goal: to accelerate the deployment of next-generation edge AI solutions powered by the Qualcomm Dragonwing™ IQ-9075 processor.
Cognizant is going all-in on Anthropic’s Claude, the family of large language models that’s been quietly challenging OpenAI’s dominance in enterprise AI. The company announced that it’s embedding Claude — along with Anthropic’s agentic tooling — across its engineering platforms and client services to help businesses move from AI pilots to large-scale deployments.
A startup building its own language model uses a large language model (LLM) to power its support platform. Cloud GPUs consume the budget, and optimization cycles drag on with limited returns. Tech giants are facing similar challenges when scaling or retraining large language models (LLMs). One approach to this problem is the use of evolutionary…
