Artificial Intelligence
Report shows security and privacy blind spots in AI development
O’Reilly has revealed the results of its 2019 ‘AI Adoption in the Enterprise’ survey. The report shows that security, privacy and ethics are low priority issues for developers when modelling their Machine Learning (ML) solutions. Security is the most serious blind spot. Nearly three-quarters (73%) of respondents indicated they don’t check for security vulnerabilities during model building.
AI developed to help police support victims of hate crime
An increase in hate speech on social media leads to more crimes against minorities in the physical world, a study shows. Academics from Cardiff University’s HateLab project collected Twitter and police recorded crime data from London over an eight-month period to analyse whether a significant association existed.
How AI avoids high beam glare for other vehicles
High beam lights can increase night time visibility range of standard headlights significantly; however, they can create hazardous glare to other drivers.
Is AI driving the next generation of jobs in the UK?
The uptake of Artificial Intelligence by industry will drastically change the UK job market in the coming years - with 133 million new jobs expected to be created globally. In the UK alone, up to a third of jobs will be automated or likely to change as a result of the emergence of AI - impacting 10.5 million workers.
Discover a new breed of AI neuromorphic computing
BrainChip Holdings has announced that Peter Van der Made, CTO and founder of BrainChip, will speak to audiences at two upcoming industry events. Van der Made will discuss its flagship technology, Akida, an advanced Spiking Neural Network (SNN) processor.
Software infuses AI into high-performance computing
Simplifying the infusion of AI into high-performance computing is the purpose of Arrow Electronics using a new software platform ready to run on the BittWare 385A FPGA accelerator card. Arrow’s engineering team has created ready-to-use software modules in OpenCL that help users build custom engines for compute-intensive workloads in applications such as image processing and facial recognition.
Driving simulator validates latest automotive megatrends
A new compact and self-contained cube simulator, powerful enough to validate driver assistance and autonomous technologies in today’s vehicles, has been unveiled by Ansible Motion. Thanks to its compact footprint and sophisticated computational architecture.
Identity and AI: The recipe for a strong fraud defence
Sibos has kicked off in London this week and the theme for this year is 'Thriving in a hyper-connected world'. The market has long demanded quicker and more convenient payment methods, and the industry is now answering with ubiquitous payments. By Sundeep Tengur, Senior Business Solutions Manager, Global Fraud & Financial crime Practice at SAS
Autonomous cars and overcoming the inadequacies of road mapping
Functional safety standards for self‑driving cars require redundancy in case any of the sensors - LiDAR, radar, cameras, etc. - fails. While sensors such as radar and LiDAR may provide redundancy for object detection, when it comes to cameras only a highly accurate map can serve as the source of redundancy, helping the autonomous vehicle make the right decisions by comparing their visual glimpses of the world with a map stored in memory.
Blink of an eye: Self-driving software analyses 150 vehicles a second
Autonomous vehicles driving on London’s complex and congested streets are required to make 150 independent vehicle detections every second and can detect traffic lights in 1/2,000th of a second – faster than the human eye, according to Oxbotica. The Oxford-based company is already using its pioneering Universal Autonomy software system in cities, mines, airports, quarries and ports. This software can run on everyday computer hard...