Phi-3: small but mighty
Phi-3: small but mighty Phi-3 is a series of open AI models created by Microsoft,
May 14, 2024
10:21 am
Artificial Intelligence & Mathematics Research Lab
A.I.M. Research Lab fosters collaboration among academics, professionals worldwide for scientific progress and publishing high-quality papers.
About Us
Our Mission
AIM’s primary goal is to offer a “collaboration platform” for academics and industry professionals to engage in high-quality research and publish academic papers. We aim to unite individuals from diverse backgrounds and interests worldwide, facilitating research and the free exchange of insights to further scientific advancement.
AIM Research welcomes academics or industry professionals who have a passion for science and curiosity for new scientific investigations. Our platform supports motivated individuals in conducting thorough research and publishing papers, regardless of their academic affiliation. AIM offers collaboration opportunities with academics and professionals who share a “research spirit,” allowing members to engage with the academic world to a degree that suits them.
In light of the above, our mission sits on three main pillars:
Accessibility
Inclusivity to all members of the society who are dedicated in their academic pursuit and seek to collaborate.
Reliability
Ensuring high quality research, while prioritising ethical standards and values that respect humanity.
Flexibility
Embracing a wide range of scientific fields of study,as long as they nurture a “mathematical” approach
People Behind Us
Meet our Founders
AIM was founded by friends, who share a passion for research, and were inspired to create an independent, non-profit research organisation. We are committed to producing authentic, high-quality, and ethically sound scientific research.
This led to our ambitious mission statement: to establish a research lab that unites academics and professionals globally, fostering an official, collaborative, and sustainable environment for conducting and publishing research.
Below are the short bios of our founders. It is important to emphasise that these profiles do not define the limits of our team. We are keenly interested in welcoming new members and collaborators, who ultimately contribute to AIM’s diversity and strength.
Research
AIM Research
Our research can be viewed under two main categories of scientific exploration, which mirrors the lab’s title and tends to have many overlaps in-between, owing to the commonalities in the nature of our works.
Includes investigations that cover innovative and real-time applications of AI models to structured/unstructured data; and/or theoretical propositions that either introduce novel algorithms to the literature, or suggest new ways to render the existing models more efficient, traceable and robust in their functioning.
The theme of making things efficient and traceable is important for us. In a world where computers are increasingly taking charge of complex operations, there is a tendency to “chuck things in and let machines do their magic’. While this approach may be pragmatic in certain circumstances, it may not always be resource-efficient or sustainable. We encourage our research members to consider the wider impact of their studies along these lines.
Includes fields like mathematical physics/biology/economics, dynamic systems, stochastic models, and other relevant fields that fall under the remit of applied or pure mathematics.
Some of these studies may remain on a purely theoretical level, or may well be supported by numerical simulations, data analyses and/or AI applications, if needed. Do not be concerned if your ongoing research does not instantly appear as having an obvious, direct link with the principle of ‘making the world a better place’, which is admittedly a vague, if not an ambitious, concept. We hold that as long as certain intentions and biases are omitted, and humanistic values upheld, mathematical sciences would lead to the improvement of our understanding of the world around us, ‘making the world a better place’ as a result of it.
News & Events
Paper Review: Non-Denoising Forward-Time Diffusions
Paper Review: Non-Denoising Forward-Time Diffusions One of the papers we have been actively reviewing recently
May 14, 2024
10:12 am
GPT4 – omni is finally here
GPT4 – omni is finally here! GPT-4o (“o” for “omni”) is finally here! It marks
May 14, 2024
10:07 am
Get Involved
Become a Member
Collaborate with us on AI and Machine Learning Projects and Policy to make a meaningful impact.
Join Now
Support Us
Collaborate with us on AI and Machine Learning Projects and Policy to make a meaningful impact.
Donate
Newsletter
Collaborate with us on AI and Machine Learning Projects and Policy to make a meaningful impact.
Subscribe