Tech Experts Q&A

Other Recent Questions

• 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?

• Why are huge numbers of image files important to many machine learning projects?

• How might the concept of equilibrium inform machine learning projects?

• How does Amazon Web Services (AWS) facilitate AI opportunities for clients?

• Why is bias versus variance important for machine learning?

• What is the difference between little endian and big endian data formats?

• How does Occam's razor apply to machine learning?

• Why is the "information bottleneck" an important theory in deep learning?

• What is the difference between a private cloud and a virtualized data center?

• How is network mapping different than network monitoring?

• How can learning agents "learn to use the web"?

• How are companies trying to add a speedometer to artificial intelligence work?

• Why is patch management so important in cybersecurity?

• Why are companies paying so much for AI professionals?

• How do administrators find bandwidth hogs?

• How might businesses use the AI potential of real-time data systems like SAP HANA?

• How does a weighted or probabalistic approach help AI to move beyond a purely rules-based or deterministic approach?

• What is the difference between a network switch and a network router?

• Why is it important to manage a relational database system in the cloud?

• How did Moore's law contribute to the current AI revolution?

• What is the difference between scale-out versus scale-up (architecture, applications, etc.)?

• How can neural networks affect market segmentation?

• How can businesses innovate in managing data center bandwidth?

• What are some important aspects of file integrity monitoring?

• Why are some companies contemplating adding "human feedback controls" to modern AI systems?

• What does "connectionism" mean for business AI?

• How do admins use server monitoring to evaluate network performance?

• Why is multi-factor authentication an important component of cybersecurity?

• Why is machine bias a problem in machine learning?

• What’s the difference between SEM, SIM and SIEM?

• How are logic gates precursors to AI and building blocks for neural networks?

• How can machine learning and AI help move companies from a "perimeter approach" to cybersecurity?

• More isn’t always better. How can organizations reduce the noise in their data to achieve targeted, accurate analytics?