Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The rise of AI chips in data centers and PCs is changing the way businesses can protect against cyberattacks and data breaches by introducing new security capabilities such as large-scale digital ...

Researchers at Massachusetts Institute of Technology have demonstrated a surprising new way to compute—by using heat instead ...

Proof of concept uses passive components to redirect heat across a chip, allowing temperature patterns to be used for data ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

Pattern Group Inc. accelerates various brands on ecommerce marketplaces using proprietary technology and AI. It acquires inventory from brand partners to sell to consumers in various industries, ...

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Abstract: Matrix multiplication is a fundamental computational operation widely used in various engineering applications. To accelerate large-scale matrix multiplication, computing tasks are commonly ...

The covalent radius (a measure of how large individual atoms are) shows different trends if you are moving across a period or down a group. A comparison of the relative covalent radii of atoms is ...

Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...