1 code implementation • 30 Oct 2024 • Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
Vector Symbolic Architectures (VSAs) are one approach to developing Neuro-symbolic AI, where two vectors in $\mathbb{R}^d$ are `bound' together to produce a new vector in the same space.
no code implementations • 2 May 2024 • Mohammad Mahmudul Alam, Negin Sokhandan, Emmett Goodman
The results presented in this paper demonstrate the effectiveness of the proposed VPP system, which holds significant potential for transforming the landscape of virtual advertising and marketing strategies.
no code implementations • 23 Mar 2024 • Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
Malware detection is an interesting and valuable domain to work in because it has significant real-world impact and unique machine-learning challenges.
1 code implementation • 23 Dec 2023 • Mohammad Mahmudul Alam, Edward Raff, Tim Oates
While deep learning has enjoyed significant success in computer vision tasks over the past decade, many shortcomings still exist from a Cognitive Science (CogSci) perspective.
1 code implementation • 2 Dec 2023 • Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek
In the case of DDx, the proposed network has achieved a mean accuracy of 99. 82% and a mean F1 score of 0. 9472.
1 code implementation • 31 May 2023 • Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
In recent years, self-attention has become the dominant paradigm for sequence modeling in a variety of domains.
no code implementations • 23 Nov 2022 • Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
Recurrent neural nets have been successful in processing sequences for a number of tasks; however, they are known to be both ineffective and computationally expensive when applied to very long sequences.
1 code implementation • 13 Jun 2022 • Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
Due to the computational cost of running inference for a neural network, the need to deploy the inferential steps on a third party's compute environment or hardware is common.
1 code implementation • 6 Jan 2021 • Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman
The proposed algorithm uses a single convolutional neural network to predict the probabilities of finger class and positions of fingertips in one forward propagation.
1 code implementation • 27 Oct 2020 • Mohammad Mahmudul Alam, S. M. Mahbubur Rahman
One purpose of VR environments is to transform a virtual 3D object with affine parameters by using the gesture of thumb and index fingers.
1 code implementation • 16 Mar 2020 • Mohammad Mahmudul Alam, S. M. Mahbubur Rahman
In particular, the distance of the thumb and index fingertips is employed to scale a 3D object in virtual environment.
1 code implementation • Healthcare Technology Letters, IET 2019 • Mohammad Mahmudul Alam, Mohammad Tariqul Islam
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
1 code implementation • 17 Jul 2019 • Mohammad Mahmudul Alam, Mohammad Tariqul Islam
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.