Traditional antibody optimization approaches involve screening a small subset of the available sequence space, often resulting in drug candidates with suboptimal binding affinity, developability or immunogenicity. Based on two distinct antibodies, we demonstrate that deep contextual language models trained on high-throughput affinity data can quantitatively predict binding of unseen antibody sequence variants. These variants span a KD range of three orders of magnitude over a large mutational space. Our models reveal strong epistatic effects, which highlight the need for intelligent screening approaches. In addition, we introduce the modeling of "naturalness", a metric that scores antibody variants for similarity to natural immunoglobulins.

Running machine learning in production can require significant compute, particularly for deep learning #neuralnetwork models like NLP and #computervision. Currently data centers consume about 5% of the world's energy but that share could quadruple or even octuple as enterprises embrace compute-intensive AI/ML. When we rebuilt our ML engine from the ground up using #rustlang, our goal was for customers to run their boldest models at C speeds without requiring data teams to change the platforms or frameworks they used for building and training models, but it has also led to outsized efficiency gains with major #esg implications.

Rheinmetall Canada is supplying an AI-powered navigation system for the Project Theseus automated logistics programme in the UK. The company claimed in a 16 August statement that the'first systems have already been delivered' under a contract from the UK MoD for Project Theseus 2.2 that was awarded in February 2022. Prime contractor Rheinmetall Canada is working with its robotics division Rheinmetall Provectus and Polaris Government and Defense to equip 11 Polaris MRZR D4 lightweight tactical vehicles with the Rheinmetall PATH Autonomy Kit (A-kit) AI-powered navigation system. 'The project marks the first installation of the PATH A-kit on an MRZR D4,' Rheinmetall Canada stated. 'This requires Rheinmetall to meet a new set of technical demands, further proving the PATH's total adaptability.'

You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in R, right? You've found the right Decision Trees and tree based advanced techniques course! How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost.

You're looking for a complete Course on Deep Learning using Keras and Tensorflow that teaches you everything you need to create a Neural Network model in Python and R, right? You've found the right Neural Networks course! How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course. If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical.

You're looking for a complete Linear Regression and Logistic Regression course that teaches you everything you need to create a Linear or Logistic Regression model in Python, right? You've found the right Linear Regression course! A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. What is covered in this course? This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.

Stord, the Cloud Supply Chain leader, announces the appointment of its first President and Chief Commercial Officer Tom Barone. This news comes amid great momentum for Stord: the company has continued to enhance its suite of logistics services and technology offerings, including announcing a vendor- and sales channel-agnostic software platform, Stord One Commerce; comprehensive, port-to-porch logistics capabilities; an expansion of its first-party and third-party facility network capacity; and more. Tom brings seasoned industry leadership to Stord as it continues its high-growth trajectory, bringing its Cloud Supply Chain offering to scaling DTC, B2B, and omnichannel brands. "Stord has been in a period of immense hypergrowth as brands require more agile, connected, and rapid fulfillment to increase customer satisfaction and their bottom line," said Sean Henry, CEO and co-founder of Stord. "A relentless focus on creating value for customers is foundational to Stord. With Tom's appointment, we look forward to aligning all of our go-to-market and external-facing functions, throughout the entire customer lifecycle, under a proven leader with vast experience across both technology and logistics and a deep understanding of today's omnichannel brands."

As most folks know, we could dedicate several tomes to detailing the complexity of the American healthcare system. Needless to say, there are lots of stakeholders, lots of inequalities, and lots of nuances. These challenges get in the way of accessing healthcare.

Singapore healthtech startup Bot MD is collaborating with National University Cancer Institute (NCIS) to offer a platform that can estimate treatment costs for cancer patients. Powered by artificial intelligence (AI), the application is touted to be able to identify the most cost-effective option by assessing drug strengths and suitable alternatives. Dubbed NCIS Chemotherapy Cost Calculator, the AI platform will help frontline healthcare professionals estimate out-of-pocket expenses patients have to set aside each month based on key factors, such as their prescribed cancer treatment, residency status, and eligibility for national subsidy schemes. Government subsidy programmes that have been integrated with the calculator include Ministry of Health's cancer drug list, drug subsidy schemes on the Medication Assistance Fund and standard drugs list, as well as outpatient specialist subsidies. The calculator will be updated whenever there are new or revisions to schemes as well as institutional price revisions to ensure estimated costs are in line with the actual amount patients should expect to pay, said Bot MD and NCIS in a joint statement Friday.

In today's post, we are going to talk about one of the learning algorithms that are very powerful and is used in many machine learning applications. It is called decision trees and tree ensembles. It is a very powerful tool that is well worth having in your toolbox. In this post, we'll learn about decision trees and we'll see how you can apply them in your own machine learning projects. So, let's begin with our post. To explain how decision trees work, we are going to use the following cat classification example. Let's imagine that you are running a cat adoption center and given a few features, you want to train a classifier to quickly tell you if an animal is a cat or not.