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AI models that provide the logic behind decisions to gain insights and monitor for errors and biases.
Today one model is just too risky for mission critical systems. A consortium of models using different methodologies help maintain accuracy when data is dynamic and unpredictable.
Self evolving interfaces are the building blocks of hardware based AI innovations.
Innovation as a service. AI process optimization, alternative strategies, breakthroughs and patents.
Chatbots, advanced entity extraction from scanned documents, email analysis, social media analysis...
Smart shopping cart (vision checkout), shelf inventory (vision), safety (vision), ecommerce cart abandonment, ad bidding, product category sorting optimization...
IOT identification, 5G user predictive usage, attacker attribution, cyber audit (bank), AI based penetration testing, fraud detection...
Using AI systems to motivate people to act according to needed workflows and policies (safety, regulation, operations, retail)...
Medical device startup audits for investors, patient medical status in real-time model, clinical trials and pharma analytics, clinical trials abandonment analysis, horse movement analysis for medical issues (IOT)...
Safety (vision), operational excellence (vision), security (vision), pressure sensors (IOT), vendor scoring (IOT), quality sorting in production (vision), AI induced behavioral changes...
Auricular medicine, also known as auriculotherapy, is an alternative medicine practice that involves diagnosing and treating various health conditions through stimulation of specific points on the outer ear. Based on the premise that the ear represents a microsystem of the entire body, practitioners utilize techniques such as acupuncture, acupressure, or electrical stimulation to target these points, with the aim of restoring balance and promoting healing in the corresponding areas of the body.
AppliedML, a company with expertise in AI technologies, has partnered with international Auricular Medicine researchers to evaluate and refine the effectiveness of auricular therapies.
Utilizing advanced machine learning algorithms, AppliedML collects and analyzes data from various practitioners, allowing for a comprehensive understanding of therapy outcomes. Alongside this data collection, the company runs a research clinic in Israel, where they conduct in-depth investigations into auricular therapies.
This collaboration brings together the knowledge and resources of both parties to improve and expand the field of auricular medicine in a scientifically rigorous manner.
Click the link bellow for more information about the clinic or to enquire about scientific or therapeutic cooperation
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