IBM bets on AI and robotics to speed up drug discovery

IBM bets on AI and robotics to speed up drug discovery Using AI for chemical synthesis and retrosynthesis IBM’s RoboRXN is the culmination of three years of research and development in applying AI to chemical research. In 2017, the company developed an AI system for predicting chemical reactions in forward synthesis. Hypothesizing about chemical reactions and experimenting with different chemical components is one of the most time-consuming parts of chemical research....

9 min · 1785 words · Stacy Holmes

IBM commits high-scale inference platform ModelMesh to open source

IBM today announced it has committed itsModelMeshinference service to open source. This is a big deal for the MLOps and DevOps community, but the implications for the average end-user are also huge. Artificial intelligence is a backbone technology that nearly all enterprises rely on. The majority of our coverage here onNeuraltends to discuss the challenges involved in training and developing AI models. But when it comes to deploying AI models so that they can do what they’re supposed to do when they’re supposed to do it, the sheer scale of the problem is astronomical....

3 min · 596 words · Tammy Turner

IBM eyes Africa for growth as banking flourishes across the continent

Global technology and consulting firm,IBMrecently ramped up its deal flow in Africa, inking deals in the banking sector in various countries across the continent. Earlier this month, the companysigned a dealwith one of Tanzania’s largest banks by assets, the National Microfinance Bank (NMB) that would help develop a core banking system. In addition,just yesterday, it signed a deal with Ethiopia’s largest bank, Commercial Bank of Ethiopia to expand the company’s IT infrastructure....

3 min · 491 words · Michael Contreras

IBM launches new machine-learning pipeline starter kits for overworked devs

IBM today announced a new machine-learning, end-to-end pipeline starter kit for its Cloud Native Toolkit. The big idea here is that wrangling the myriad open-source and enterprise ML and AI platforms and solutions into production can be a challenging prospect. Per IBM’sdeveloper blog: Moving an application from a Jupyter notebook to a production environment requires numerous components to work together. These components cover a wide range of tasks that developers and administrators have to manage....

2 min · 347 words · Terri Richardson

IBM Think 2021 kicks off with AI innovations and some interesting quantum news

IBM today kicked off its annual THINK conference with a hefty dose of AI news and some tantalizing tidbits about the company’s current quantum computing endeavors. We’ve got the skinny, but there’s a lot to get through so strap in and get comfy. AI, AI, AI, and more AI AutoSQL and Cloud Pak for Data: IBM’s touting a breakthrough in cloud-based database management. Basically, where businesses serve up answers to customer queries using cloud-managed AI databases, this will significantly speed things up....

5 min · 888 words · Joe Mathews
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