Artificial Intelligence

The UK AI field will play a huge role in industry going forward, according to West-Midlands pallet truck specialists, Midlands Pallet Trucks.

Tieto is introducing AI ethics guidelines and certification for its employees, as well as opening new positions for AI ethics and transparency engineers and AI trainers. These steps are part of a sustained drive to promote ethical AI product and service development across the company.

The tremendous growth in data, particularly privately held data by large businesses, is the reason for, and key to, the expansion and success in the use of artificial intelligence (AI) in business, according to speakers at the 13th October afternoon session of the Symposium on Innovation and Technology, under the theme ‘AI Empowerment - Grow without Limits’, held during the 38th HKTDC Hong Kong Electronics Fair (Autumn Edition).

AI arouses deep human emotions: insecurity, anxiety, a fear of the unknown. And this is reasonable. For most of us, this is technology that we don’t understand, but that somehow understands us - perhaps even better than we know ourselves. Technology that can predict our behaviour based on algorithms of our past actions; that can see into our very souls and scoop out the perfect product to fulfil the desires we did not even know we had.

The TIDA-01130 reference design demonstrates a very small solution size for 2-MP automotive cameras with the capability of much faster forward channel data rate speeds by using MIPI CSI-2 interface and TI's 4Gbps FPD-Link III serialiser.

Dataiku has launched the Enterprise AI Lab, a new service that promotes the wider proliferation and more creative use of AI in the enterprise. The Enterprise AI Lab is made up of international data scientists, data experts, and AI architects who will take on challenging projects from corporations, non-profits, or academics - large or small - worldwide. The ultimate goal of the EAI Lab is, from a pure technological and execution perspective, ...

eVoice enables the recording in advance of up to 100 warnings in the driver’s native language, that are adapted to various problematic behaviour patterns on the road. A user-friendly software program is used to determine the exact warning to be played to the driver depending on the nature of the event. 

Deep learning and Deep Neural Networks (DNNs) in particular, are currently one of the most intensively and widely used predictive models in the field of machine learning. DNNs are not a new concept, but after the recent initial breakthrough applications of DNNs in the fields of speech recognition and image recognition, they have returned to the focus of both academic and industrial communities.

A multi-year partnership focused on advancing the science and engineering of intelligence while supporting the next generation of researchers in this emerging field, has been announced by Fujitsu Laboratories and MIT's Center for Brains, Minds and Machines (CBMM). The new commitment follows on several years of collaborative research among scientists at the two organisations.

Designed to speed up development efforts and reduce time to market for ADAS applications, the TDA2Px EVM is a new evaluation platform from Texas Instruments. The TDA2Px EVM is based on a TDA2Px System-on-Chip (SoC) that incorporates a heterogeneous, scalable architecture.