AI News
AI/ML Innovations Inc. Presents A Fireside Chat and a Company Update
VICTORIA, BC / ACCESSWIRE / February 8, 2024 / AI/ML Innovations Inc. (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), a leading company committed to acquiring and advancing Artificial Intelligence/Machine Learning technologies that address urgent societal needs, presents a fireside chat with Paul Duffy, CEO of AI/ML Innovations Inc., and Hassan Kham, Co-Founder and CEO of TODAQ, where they discuss major company…
The Next Chapter of Artificial Intelligence
Artificial intelligence (AI has become the primary driver of the stock market surge in 2023, despite worries and anxieties on Capitol Hill about the technology’s unregulated status. The fear that it will turn us into prey for Terminator-style robots has faded, although not entirely gone. The one worry consuming modern experts is China’s scramble to…
AI/ML Innovations Inc. Presents A Fireside Chat and a Company Update
VICTORIA, BC / ACCESSWIRE / February 8, 2024 / AI/ML Innovations Inc. (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), a leading company committed to acquiring and advancing Artificial Intelligence/Machine Learning technologies that address urgent societal needs, presents a fireside chat with Paul Duffy, CEO of AI/ML Innovations Inc., and Hassan Kham, Co-Founder and CEO of TODAQ, where they discuss major company…
The Next Chapter of Artificial Intelligence
Artificial intelligence (AI has become the primary driver of the stock market surge in 2023, despite worries and anxieties on Capitol Hill about the technology’s unregulated status. The fear that it will turn us into prey for Terminator-style robots has faded, although not entirely gone. The one worry consuming modern experts is China’s scramble to…
Streamlining supply chains: The role of AI and ML technologies in modern logistics
By Raju Sinha Technology is advancing at a breakneck pace in the dynamic field of logistics, with new developments every day in big data, cloud computing, algorithmic development, connectivity, and processing power. The advancement of artificial intelligence (AI) and machine learning (ML) has led to notable improvements in their efficiency, availability, and affordability, making them…
The Next Chapter of Artificial Intelligence
Artificial intelligence (AI has become the primary driver of the stock market surge in 2023, despite worries and anxieties on Capitol Hill about the technology’s unregulated status. The fear that it will turn us into prey for Terminator-style robots has faded, although not entirely gone. The one worry consuming modern experts is China’s scramble to…
SiMa.ai Recognized as an IDC Innovator for AI/ML at the Edge
SAN JOSE, Calif., Feb. 9, 2024 — SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced it has been named an IDC Innovator in the IDC Innovators: AI/ML at the Edge, 2024 (Document number: # US51793824: January 2024) report. The report excerpt is available for download on…
AI in the developing world: how ‘tiny machine learning’ can have a big impact
The landscape of artificial intelligence (AI) applications has traditionally been dominated by the use of resource-intensive servers centralised in industrialised nations. However, recent years have witnessed the emergence of small, energy-efficient devices for AI applications, a concept known as tiny machine learning (TinyML). We’re most familiar with consumer-facing applications such as Siri, Alexa, and Google…
AI/ML Innovations Inc. Presents A Fireside Chat and a Company Update
VICTORIA, BC / ACCESSWIRE / February 8, 2024 / AI/ML Innovations Inc. (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), a leading company committed to acquiring and advancing Artificial Intelligence/Machine Learning technologies that address urgent societal needs, presents a fireside chat with Paul Duffy, CEO of AI/ML Innovations Inc., and Hassan Kham, Co-Founder and CEO of TODAQ, where they discuss major company…
AI in the developing world: how ‘tiny machine learning’ can have a big impact
The landscape of artificial intelligence (AI) applications has traditionally been dominated by the use of resource-intensive servers centralised in industrialised nations. However, recent years have witnessed the emergence of small, energy-efficient devices for AI applications, a concept known as tiny machine learning (TinyML). We’re most familiar with consumer-facing applications such as Siri, Alexa, and Google…