Tech Experts Q&A

Other Recent Questions

• What is the difference between deep learning and machine learning?

• What are some common misconceptions about data center infrastructure and how do they impact the business?

• What kinds of business problems can machine learning handle?

• How can small businesses integrate machine learning into their processes ... or should they even do so?

• What is intelligent cloud and what factors are driving its growth?

• What are some of the key concerns about the use of big data in health care and how can they be mitigated?

• What are some of the key pitfalls of big data contracts and how can companies avoid them?

• What should companies consider before starting to use big data as part of their BI strategy?

• What are some key ways to automate and optimize data science processes?

• What are some of the key challenges of big data when it comes to digital forensics?

• What are some of the key privacy concerns around the use of big data?

• What are some of the biggest innovations happening in the big data space?

• What are some of the key issues to consider in a big data storage strategy?

• What process should a company go through to determine whether big data is a fit for their goals?

• What are some of they key things that cause big data projects to fail?

• What is server sprawl and what can I do about it?

• How does software-defined networking differ from virtual networking?

• What is the difference between cloud computing and web hosting?

• How can cloud computing save money?

• Why run ML training on a local machine and then run regular execution on a server?

• How are chatbots trained?

• How can containerization be a good choice for a machine learning project environment?

• How does AI interact with robotics?

• Can AI detect your sexual or political orientation by looking at your pics?

• Are self-driving cars safer than cars driven by humans?

• How is virtual reality going to improve senior care?

• How is machine learning used in anti-malware applications?

• Is AI going to replace computer programmers anytime soon?

• How does artificial intelligence compare to man-computer symbiosis?

• Is artificial intelligence a tool or a threat to cybersecurity?

• Why is telecom expense management (TEM) important in health care?

• Why are some people worried about artificial intelligence?

• Can AI help in the battle against fake news?

• How is artificial intelligence used in video games?

• Could AI provide us with tastier food than human cooks?

• Can an AI chatbot really pass for a person?

• Why are artificial recurrent neural networks often hard to train?

• What is the difference between SCSI and SATA?

• What is the 'AI winter' and how did it affect AI research?

• What's behind the big 'quantum rush'?

• How is data measured?

• How can machine learning help to observe biological neurons - and why is this a confusing type of AI?

• What are some ethical issues regarding machine learning?

• How do the Chrome Store's malicious ad blockers show the duplicity that end users face in cybersecurity?

• What is the difference between WEP and WPA?

• What are some key ways that the IoT is affecting health care?

• Why do security professionals consider bitcoin and cryptocurrency mining a potential for 'parasitic' hacker activity?

• How does NeuroEvolution of Augmenting Topologies contribute to genetic machine learning?

• Which medical professions can ethically be replaced with AI?

• How is AI affecting the military market?

• What is the difference between supervised, unsupervised and semi-supervised learning?

• How does Saudi Arabia's Sophia robot raise frightening new cybersecurity questions?

• Why is data annotation important in some machine learning projects?

• How does max pooling help make AlexNet a great technology for image processing?

• What is the difference between IPv4 and IPv6?

• How can new MIT chips help with neural networks?

• How is machine learning affecting genetic testing?

• How might machine learning tools evaluating emotion help with call center problems?

• Will machine learning advances spur cross-platform data set deployment?

• How is artificial intelligence enabling brain boost to enhance memory with electrical brain stimulation?

• What are the five schools of machine learning?

• Why are machine learning rational agents so important to retail applications?

• How is the master algorithm changing the machine learning world?

• Why are machine learning experts talking about Xavier initialization?

• Why do AI engineers have to worry about intuitive engines?

• How can AI revolutionize consumer markets through automated search?

• How do chatbots deal with accents?

• Why are some experts saying that AI will 'destroy digital authenticity'?

• Why are deep learning, machine learning and AI so important in telemedicine and other types of medical services?

• What is the difference between speech to text and chatbots?

• Why is DARPA researching 'explainable AI'?

• How does dynamic allocation in the cloud save companies money?

• Why might some machine learning projects require enormous numbers of actors?

• How can engineers evaluate training sets and test sets to spot possible overfitting in machine learning?

• Why are companies sourcing GPUs for machine learning?

• Why should companies be considering intent-based networking?

• What does "mobile compatible" mean?

• Why might companies invest in "character AI"?

• Why is semi-supervised learning a helpful model for machine learning?

• What is the difference between a mobile hotspot and tethering?

• Why does 'bagging' in machine learning decrease variance?

• How can the Chinese restaurant process and other similar machine learning models apply to enterprise AI?

• How can a local area network (LAN) be secured?

• How can new machine learning capabilities enable the mining of stock documents for financial data?

• How do deep stubborn networks play a role in AI evolution?

• Why is feature selection so important in machine learning?

• How can engineers use gradient boosting to enhance machine learning systems?

• How can a 'random walk' be helpful in machine learning algorithms?

• What is the difference between a virtual machine and a container?

• Why are people talking about the 'tipping point' for machine learning?

• Why is TensorFlow so popular for machine learning systems?

• What does big data mean for official statistics?

• How can a convolutional neural network enhance CRM?

• What are some ways that machine learning systems can be helpful for human resources?

• How does network scanning work?

• How can machine learning work from evident inefficiencies to introduce new efficiencies for business?

• Why is consumer ML/AI technology so "disembodied" compared to industrial mechanical/robotics projects?

• How has data scraping for machine learning become the most labor-intensive bottleneck since manual data entry in legacy migration?