Arm has introduced a design for an automotive image signal processor to enhance driver assistance and automation technologies. The Arm Mali-C78AE image signal processor (ISP) is part of Arm's AE line of safety-capable intellectual property suitable for advanced drivers assistance systems (ADAS) and human vision applications. It's the first product announcement since Nvidia called off the $80 billion acquisition of Arm last week. The first licensee for the tech is Intel's Mobileye, which is licenses the Mali-C78AE and the next-generation EyeQ technology. ADAS tech has grown from a premium vehicle feature to a capability consumers now expect as standard in new vehicles, as the systems have helped with driver safety.

You can almost smell the drying fish as you step into Ubisoft's latest Discovery Tour, Viking Age, a free add-on for Assassin's Creed: Valhalla (also available to play stand-alone, without the game). Previous Discovery Tour titles have allowed players to take a combat-free jaunt through Ptolemaic Egypt, Greece during the Peloponnesian War, and now early Viking Britain--all "curated by historians and experts," according to Ubisoft. In partnership with UKIE, the British gaming trade association, the game developer wants to introduce Discovery Tour to 52 schools across the UK. But this isn't the first time someone has deployed a video game for education. As early as 1971, when Paul Dillenberger showed The Oregon Trail to his students, the effect gaming could have in a learning environment was apparent.

According to a new report by Speechmatics, more than a third of global industry experts reported that the COVID-19 pandemic affected their voice tech strategy, down from 53% in 2021. This shows that companies are finding ways around obstacles that seemed impassable less than two years ago. The last two years have exacerbated the adoption of emerging technologies, as companies have leveraged them to support their dispersed workforces. Speech recognition is one that's seen an uptick: over half of companies have successfully integrated voice tech into their business. However, more innovation is needed to help the technology reach its full potential.

In this newsletter I future a recent recording from BusinessDay TV - a panel discussion I was involved in. It was hosted by Michael Avery and our guests were Tumisang Nkosi (Tumi) Director: Executive Education & Programmes at Johannesburg Business School (JBS) & Kanshukan Rajaratnam (Kanshu), Director: School for Data Science and Computational Thinking at Stellenbosch University. I also include an article I wrote for BusinessDay newspaper on the same topic. The smart technology era is a revolution characterised by the blending of the physical, digital and biological worlds. Artificial intelligence, robotics, the Internet of Things, 3D printing, genetic engineering, and quantum computing is spurring on the creation of products and services that are rapidly becoming more important in today's world.

This survey provides an overview of the evolution of visually grounded models of spoken language over the last 20 years. Such models are inspired by the observation that when children pick up a language, they rely on a wide range of indirect and noisy clues, crucially including signals from the visual modality co-occurring with spoken utterances. Several fields have made important contributions to this approach to modeling or mimicking the process of learning language: Machine Learning, Natural Language and Speech Processing, Computer Vision and Cognitive Science. The current paper brings together these contributions in order to provide a useful introduction and overview for practitioners in all these areas. We discuss the central research questions addressed, the timeline of developments, and the datasets which enabled much of this work. We then summarize the main modeling architectures and offer an exhaustive overview of the evaluation metrics and analysis techniques.

Google Developer Student Clubs University of Ibn Zohr presents W6: Intro to Data Visualization with Python #MLStart #30DaysOfML | Feb 18, 2022. Find event and ticket information.

Former Google CEO Eric Schmidt has slammed the US government for its slow 5G rollout, arguing that the government's "dithering" has left America "well behind" China. Dr Schmidt penned an op-ed in the Wall Street Journal alongside Harvard government professor Graham Allison, saying that the US is "far behind in almost every dimension of 5G while other nations – including China – race ahead". The authors said the Biden administration must make 5G a "national priority". If not, "China will own the 5G future", they said. "The step up to real 5G speeds will lead to analogous breakthroughs in autonomous vehicles, virtual-reality applications like the metaverse, and other areas that have yet to be invented," Dr Schmidt and Dr Allison wrote.

Session Leads are industry professionals who provide world-class technical support to our learners in their Nanodegree journey. All our session leads are handpicked through a rigorous selection process so that we can truly be #studentfirst. As a Session Lead/Instructor, you will be meeting virtually on a weekly basis with your students for group work, activities and short lectures. During the week, students are expected to study an estimated 10 hours on their Nanodegree programs on their own, and you will be expected to respond to their technical questions and check-in with them to make sure they are making progress. This program runs in partnership with an organization with an aim to enrol 10,000 learners in Africa!

It may sound obvious, perhaps even clichéd, but this mantra is something that must be remembered in ongoing political negotiations over Horizon Europe, which could see Switzerland and the UK excluded from EU research projects. We need more, not fewer, researchers collaborating to solve today's and tomorrow's challenges. By closely working with Swiss and British researchers, who have long played key roles, Horizon Europe projects will benefit – as they have in the past. This is the motivation behind ETH Zurich, which collaborates with IBM Research on nanotechnology, leading the Stick to Science campaign. This calls on all three parties – Switzerland, the UK and the EU – to try and solve the current stalemate and put Swiss and British association agreements in place.

PySpark is an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning. We just released a PySpark crash course on the freeCodeCamp.org Krish is a lead data scientist and he runs a popular YouTube channel. Apache Spark is written in the Scala programming language. To support Python with Spark, the Apache Spark community released a tool called PySpark. PySpark allows people to work with Resilient Distributed Datasets (RDDs) in Python through a library called Py4j. PiSpark is an interface for Apache Spark in Python is often used for large scale data processing and machine learning. Krish knack teaches this course. So we are going to start Apache Spark series. And specifically, if I talk about Spark, we will be focusing on how we can use spark with Python. So we are going to discuss about the library called pi Spark, we will try to understand everything why spark is actually required. And probably will also try to cover a lot of ...