If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The UK government says that driverless vehicles could be on UK roads by 2025 and has announced a £100 million ( $119m) package to fund research on safety developments. The government's plans could see cars, coaches and lorries with self-driving features on motorways in the next year, with new legislation in the pipeline to allow the safe wider rollout of driverless vehicles by 2025. It has also started a consultation on a "safety ambition" proposal that would require a self-driving vehicle to be "as safe as a competent and careful human driver", according to the Department of Transport's announcement. The government hopes to fast-track new legislation addressing insurance and liability so that manufacturers -- and not drivers -- are responsible for crashes when the vehicle is in self-driving mode. However, The UK government's Centre for Data Ethics and Innovation (CDEI) related Responsible Innovation in Self-Driving Vehicles report, indicates a long and complex road ahead if the public is to trust self-driving vehicles and the rules governing their use.
The Seeker's software allows players to customize how they practice with it. Athletes can catch balls from close to the machine to improve hand-eye coordination. They can also program the robot to throw a ball at a specific spot on the field, or simulate more lifelike conditions by over or under-throwing a ball. Players wear a pager-like tag which allows the robot to track their location on the field, and throw a ball accurately within inches.
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."