Cross-modal text-molecule retrieval task bridges molecule structures and natural language descriptions. Existing methods predominantly focus on aligning text modality and molecule modality, yet they overlook adaptively adjusting the learning states at different training stages and enhancing training efficiency. To tackle these challenges, this paper proposes a Curriculum Learning-bAsed croSS-modal text-molecule training framework (CLASS), which can be integrated with any backbone to yield promising performance improvement. Specifically, we quantify the sample difficulty considering both text modality and molecule modality, and design a sample scheduler to introduce training samples via an easy-to-difficult paradigm as the training advances, remarkably reducing the scale of training samples at the early stage of training and improving training efficiency. Moreover, we introduce adaptive intensity learning to increase the training intensity as the training progresses, which adaptively controls the learning intensity across all curriculum stages. Experimental results on the ChEBI-20 dataset demonstrate that our proposed method gains superior performance, simultaneously achieving prominent time savings.

Hwy Haul uses a digital platform to match shipments with truckers. As Director of Supply Chain, Syed Aman spent several years making sure when produce reached Walmart WMT stores, it wasn't rotten. Now, as CEO and co-founder of Hwy Haul, he's using what he learned to give other supermarkets the same insurance, because it's not just a few bad apples spoiling the whole bunch. "Produce spends half its life in the supply chain and more than $15 billion is wasted or rejected in transit every year," said Aman. "On average 14% of the produce shipments get rejected." The lingering Covid-19 pandemic has only exacerbated the problem with supply chain disruptions and strict packaging requirements by top retailers such as Walmart and Target TGT adding to the complexity of getting fruit and vegetables from farm to produce shelves while still fresh, Aman said.

Aman Naimat is the SVP Technology for Demandbase where he is working on creating the first Artificial Intelligence account-based marketing platform. Aman was previously co-founder and CTO of Spiderbook, a data-driven sales engine. Before Spiderbook, he was the co-founder of TopCorner, a platform for Open Government. Aman has been building CRM systems since he was 19. He also founded and worked in various startups in search, trading systems, and enterprise software.

I met Aman Naimat, Senior Vice President of Technology at Demandbase at their headquarters in San Francisco on my recent visit to California for Social Media Strategies Summit. Aman is working on leveraging the latest developments in artificial intelligence (AI) and data science for marketing and sales platforms. In this podcast, Aman and I discuss how AI functions in account-based marketing (ABM). Before working with Demandbase, Aman was previously founder and CTO of Spiderbook, a data-driven sales engine for account-based targeting. Aman has been building CRM systems since he was 19, and was the architect for the Oracle CRM applications.

I met Aman Naimat, Senior Vice President of Technology at Demandbase at their headquarters in San Francisco on my recent visit to California for Social Media Strategies Summit. Aman is working on leveraging the latest developments in Artificial Intelligence (AI) and data science for marketing and sales platforms. On this podcast, episode 150, Aman and I discuss how AI functions in account-based marketing (ABM). Before working with Demandbase Aman was previously founder and CTO of Spiderbook, a data-driven sales engine for account-based targeting. Aman has been building CRM systems since he was 19 and was the architect for the Oracle CRM Applications.

I met Aman Naimat, Senior Vice President of Technology at Demandbase at their headquarters in San Francisco on my recent visit to California for Social Media Strategies Summit. Aman is working on leveraging the latest developments in Artificial Intelligence (AI) and data science for marketing and sales platforms. On this podcast, episode 150, Aman and I discuss how AI functions in account-based marketing (ABM). Before working with Demandbase Aman was previously founder and CTO of Spiderbook, a data-driven sales engine for account-based targeting. Aman has been building CRM systems since he was 19 and was the architect for the Oracle CRM Applications.

This post is the beginning of an investigation into the business market for artificial intelligence, which will culminate in a free report about the larger AI market. Sign up to be notified when the new free report, "The New AI Market," becomes available. Artificial intelligence plays an increasingly central role in everything from consumer electronics to retail, and from health care to cars. With such widespread applications, which companies have adopted AI as a new direction for their businesses? How are they using it and for what purpose?

Aman's background is in the intersection of Business Applications and Artificial Intelligence, using both to drive the next generation of business applications Aman also founded and worked in various startups in search, social, trading systems, and enterprise software. His last startup was TopCorner, a political platform for micro-lobbying. Aman was the architect for IBM SuperSell Enterprise and Oracle CRM. He was previously the Director of Special Projects for the CEO's office at Oracle. Aman earned a MS in Computer Science with research focused on natural language processing (NLP) from Stanford.