Artificial Intelligence
Chimps help improve machine learning of animal simulations
Researchers at The University of Manchester are using computer simulations of chimpanzees to improve not only our understanding of how the animals walk, but also the technology we use to do it. The research, being published by the Royal Society Open Science Journal, shows how simple changes to ‘machine learning’ algorithms can produce better looking, more accurate computer-generated animal simulations.
Software suite highlights AI for for forensic object searching
Developer of software and hardware accelerated solutions for advanced Artificial Intelligence (AI) and machine learning applications, BrainChip Holdings will be exhibiting BrainChip Studio and Accelerator at Stand G32 at Security and Counter Terrorism Expo (SCTX) 2018 held at Olympia London on 6th-7th March 2018.
Teaching quantum physics to a computer
An international collaboration led by ETH physicists has used machine learning to teach a computer how to predict the outcomes of quantum experiments. The results could prove to be essential for testing future quantum computers. Physics students spend many years learning to master the often counterintuitive laws and effects of quantum mechanics.
Multi band GNSS receiver features autonomous driving precision
Assisting safer autonomous driving, STMicroelectronics has introduced what the company claims to be world’s first multi-frequency satellite-navigation receiver chipset suitable for safety-critical automotive applications and high accuracy positioning at the decimeter and centimeter-level for PPP and RTK applications.
AI helps reconstruct mysteries of quantum systems
The same techniques used to train self-driving cars and chess-playing computers are now helping physicists explore the complexities of the quantum world. For the first time, physicists have demonstrated that machine learning can reconstruct a quantum system based on relatively few experimental measurements. This method will allow scientists to thoroughly probe systems of particles exponentially faster than conventional, brute-force technique...
Automotive smart viewing camera processor selected by GEO
Cadence Design Systems has announced that GEO Semiconductor selected the Cadence Tensilica Vision P5 DSP for GEO’s new GW5400 camera video processor. According to GEO, their GW5400 is the world’s first automotive smart viewing processor.
Report warns of the malicious use of AI in the coming decade
Twenty-six experts on the security implications of emerging technologies have jointly authored a report sounding the alarm about the potential malicious use of AI by rogue states, criminals, and terrorists. Forecasting rapid growth in cyber-crime and the misuse of drones during the next decade, the report is a clarion call for governments and corporations worldwide to address the clear and present danger inherent in the myriad applications o...
Researchers examine 1,000 years of English
Evidence suggests that the interface between humans and technology will only become more central to modern life. For humans to be able to extract meaningful information from the troves of data being collected by the 'smart' machines with which we interact--such as mobile phones-- computers need to be able process language like humans. The branch of artificial intelligence that addresses this need is called natural language processing.
Brain-inspired tech brings data processing to IoT devices
A forward-looking call to action for the microelectronics industry has been issued by CEA-Leti’s chief scientist to create a radically new, digital-communication architecture for the Internet of Things in which “a great deal of analytics processing occurs at the edge and at the end devices instead of in the Cloud.”
Chip reduces neural networks’ power consumption by up to 95%
Most recent advances in artificial-intelligence systems such as speech- or face-recognition programs have come courtesy of neural networks, densely interconnected meshes of simple information processors that learn to perform tasks by analysing huge sets of training data. But neural nets are large, and their computations are energy intensive, so they’re not very practical for handheld devices.