Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.
Cortical.io announced its breakthrough prototype for classifying high volumes of unstructured text. Classifying documents or messages constitutes one of the most fundamental Natural Language Understanding (NLU) functions for business artificial intelligence (AI). The benchmark was carried out on two similar system setups using the same, off-the-shelve, dual AMD-Epyc server hardware. The “BERT” system, a transformer-based machine learning technique for natural language processing, was augmented by a NVidia GPU. The “Semantic Folding” approach utilized a cost comparable number of Xilinx Alveo FPGA accelerator cards.
In this special guest feature, Sanjay Vyas, CTO at Planful, discusses how tech departments can interpret data to steer company trajectory. Business leaders will need to encourage their teams to think like data scientists to not only collect more data at higher levels of granularity, but also find streamlined ways to glean better insights to make more frequent and informed strategic decisions.
Women in Technology (WIT) Celebrates 30 Years of Women in S.T.E.A.M IMG_8576 trip 1 ATT (1) Women in Technology (WIT), an Atlanta-based non-profit organization committed to empowering girls and women to excel in STEAM from the classroom to the boardroom, celebrates 30 years of providing their community with education, exposure, and experience. Founded in 1992,