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ARM Buys Offspark For IoT
ARM has snaffled up Dutch Internet of Things (IoT) company Offspark.
The move is designed to improve ARM’s security credentials for IoT offerings.
Offspark is the creator of PolarSSL, a widely used protocol for IoT security products, and ARM hopes that the combined companies can offer a one-stop shop for IoT developers.
Krisztian Flautner, ARM’s IoT manager, said: “PolarSSL technology is already deployed by the leading IoT players.
“The fact that those same companies also use ARM Cortex processor and software technologies means we are now able to provide a complete bedrock solution for the industry to innovate from.”
The product will be renamed ARM Mbed TLS, but will remain open source, reports Tech Week Europe.
Paul Bakker, CEO of Offspark, added: “Security is the most fundamental aspect in ensuring people trust IoT technology and that is only possible with a truly tailored solution.
“Together, ARM and Offspark can provide security to the edge of any system and we look forward to working with our partners to help them deliver some exciting new projects.”
Developers will be able to license the technology for commercial use as well as embedding it into future ARM products.
Last week the company released the ARM Cortex-A72 processor, a 64-bit effort offering support for Android 5.x Lollipop and incorporating the big.LITTLE architecture that prioritises jobs to different processor cores based on their computational requirements.
A message on the Offspark website indicates that it has been taken down and redirects to ARM.
ARM Develops IoT For Students
ARM has created a course to teach IoT skills to students at University College London (UCL)
The course is designed to encourage graduates in science, technology, engineering and maths (Stem) to seek careers in IT.
The IoT Education Kit will teach students how to use the Mbed IoT operating system to create smartphone apps that control mini-robots or wearable devices.
Students are expected to be interested in building their own IoT business, or joining IoT-focused enterprises like ARM. The course will also try to limit the number of Stem graduates pursuing non-technology careers.
ARM reported statistics from a 2012 study by Oxford Policy and Research revealing how many engineering graduates (36 percent of males, 51 percent of females), technology graduates (44 percent, 53 percent) and computer scientists (64 percent, 66 percent) end up with non-Stem jobs.
The IoT Education Kit will be rolled out by UCL’s Department of Electronics from September 2015, with a week-long module for full-time and continuing professional development students.
The Kit comprises a complete set of teaching materials, Mbed-enabled hardware boards made by Nordic Semiconductor, and software licensed from ARM. A second teaching module for engineering graduates is being developed for 2016.
“Students with strong science and mathematical skills are in demand and we need to make sure they stay in engineering,” said ARM CTO Mike Muller.
“The growth of the IoT gives us a great opportunity to prove to students why our profession is more exciting and sustainable than others.”
UCL professor Izzat Darwazeh also highlighted the importance of Stem skills, saying that “many students are not following through to an engineering career and that is a real risk to our long-term success as a nation of innovators”.
What Do Smaller Controllers Mean?
If you want a wearable Internet of Things, the electronics have to be as tiny and as energy efficient as possible. That’s why a new microcontroller by Freescale Semiconductor is noteworthy.
The company has produced the Kinetis KLO3 MCU, a 32-bit ARM system that is 15% smaller than its previous iteration but with a 10% power improvement.
Internet of Things is a buzzword for the trend toward network-connected sensors incorporated into devices that in the past were standalone appliances. These devices use sensors to capture things like temperatures in thermostats, pressure, accelerometers, gyroscopes and other types of MEMS sensors. A microcontroller unit gives intelligence and limited computational capability to these devices, but is not a general purpose processor. One of the roles of the microcontroller is to connect the data with more sophisticated computational power.
The Kinetis KLO3 runs a lightweight embedded operating system to connect the data to other devices, such as an app that uses a more general purpose processor.
Kathleen Jachimiak, product launch manager at Freescale, said the new microcontroller will “enable further miniaturization” in connected devices. This MCU is capable of having up to 32 KB of flash memory and 2 KB of RAM.
Consumers want devices that are light, small and smart. They also want to be able to store their information and send it to an application that’s either on a phone or a PC, Jachimiak said.
This microcontroller, at 1.6 x 2.0 mm, is smaller than the dimple on a golf ball, and uses a relatively new process in its manufacturing, called wafer level chip scale packaging. The process involves building the integrated package while the die is still part of a wafer. It’s a more efficient process and produces the smallest possible package, for a given die size.
Google Buys A.I. Firm
Google has purchased DeepMind Technologies, an artificial intelligence company in London, reportedly for $400 million.
A Google representative confirmed the via email, but said the company’s isn’t providing any additional information at this time.
News website Re/code said in a report this past Sunday that Google was paying $400 million for the company, founded by games prodigy and neuroscientist Demis Hassabis, Shane Legg and Mustafa Suleyman.
The company claims on its website that it combines “the best techniques from machine learning and systems neuroscience to build powerful general-purpose learning algorithms.” It said its first commercial applications are in simulations, e-commerce and games.
Google announced this month it was paying $3.2 billion in cash to acquire Nest, a maker of smart smoke alarms and thermostats, in what is seen as a bid to expand into the connected home market. It also acquired in January a security firm called Impermium, to boost its expertise in countering spam and abuse.
The Internet giant said on a research site that much of its work on language, speech, translation, and visual processing relies on machine learning and artificial intelligence. “In all of those tasks and many others, we gather large volumes of direct or indirect evidence of relationships of interest, and we apply learning algorithms to generalize from that evidence to new cases of interest,” it said.
In May, Google launched a Quantum Artificial Intelligence Lab, hosted by NASA’s Ames Research Center. The Universities Space Research Association was to invite researchers around the world to share time on the quantum computer from D-Wave Systems, to study how quantum computing can advance machine learning.