How AI is Enabling Pervasive Biosensing
The post-pandemic “new normal” will see a proliferation of IoT-connected biosensors both in their traditional locations and in entirely new locations, such as government, enterprise, and consumer environments.
Artificial Intelligence
Posted by: Salvatore Salamone Editor in Chief Exploring Artificial Intelligence Variants and Their Uses Artificial intelligence (AI) refers to the simulation of human intelligence in systems that are programmed to think like humans and mimic their actions. AI includes a broad range of technologies including cognitive computing, deep learning, expert systems, machine learning, natural language […]
Honeywell Aligns with SAP to Optimize Building Management
Interest in using AI to manage buildings is on the rise because it can help lower costs during an economic downturn and reduce carbon emissions.
Why Hardware Must Speak Software and What It Looks Like in the Open Source World
Whether challenges concern security, observability, access to data, data flow, or multicloud, hardware must pay attention to the Open Source world.
Advanced NLU: Why You Need to Understand People to Help Them
Where conversational AI shines is in adding proprietary language understanding algorithms on top of commonly used ones.
Real-time Analytics News Roundup for Week Ending May 23
In the news this week: IDC defines an interoperable framework for AI infrastructure stacks, digital twins get some attention, and more.
Microsoft Unveils AI Supercomputer, In Collaboration With OpenAI
Microsoft intends to make its supercomputer resources, alongside its AI models and optimization tools, available to Azure and GitHub developers, through its AI at Scale initiative.
Exploring Artificial Intelligence Variants and Their Uses
The common thread across all AI technologies is the ability to impart human-like decision-making capabilities into applications and systems.
Real-time Analytics News Roundup for Week Ending May 16
In the news this week: NVIDIA announces a GPU-accelerated application framework for conversational AI services, online training providers add new AI programs, and more.
Using AI and ML to Extract Actionable Insights in Edge Applications
If data starts at the Edge, why can't we do as much as possible right there from an AI point of view?