BROWSING: ML

Nokia envisions Airport 4.0 where ‘connectivity is no longer a commodity’

Airport 4.0 combines connectivity, automation, AI, robotics, digital twins Nokia's vision for Airport 4.0, as articulated in a recent piece titled, "The time for airports to digitalize is now," encompasses a range of wireless and wired technologies working together to digitalize processes, drive operational and...

Overhauling network deployment: The 5G era requires intelligent, data-driven rollout procedures

Network deployment was once based on a series of manual and sequential phases such as design, engineering, installation and acceptance. However, the introduction of 5G and cloud-based solutions like network virtualization has increased the complexity of network deployment, and as a result, the end-to-end...

Elisa buys health and safety software firm TenForce to bolster Industry 4.0 portfolio

Finnish telco Elisa has acquired a majority stake in Belgium-based industrial health and safety software provider TenForce, as part of the continuing expansion of its smart factory business. While continuing as an independent company, TenForce will be part of Elisa’s newly-formed IndustrIQ business, which...

For 5G to enable IoT ecosystems, solution co-creation is key

In addition to vendors working more closely with vertical industries, complex tasks will continue to require AI and human dexterity interaction 5G is ushering in a new era of consumer and business use cases from augmented reality and cloud gaming to simply replacing wired broadband...

Nokia Webinar: AI as a service on public cloud to accelerate digital transformation for 5G.

As networks become increasingly complex and costly to operate, communications service providers (CSPs) around the world are looking for ways to efficiently manage their networks. Automation harnessing the power of Artificial intelligence (AI) is a clear choice. But scalability and flexibility of solutions remain...

Infineon releases tinyML developer tool to twin AI and IoT in embedded systems

The crucial trend in the internet-of-things (IoT) space to bring miniaturised machine learning (ML) into battery-powered edge devices is gathering pace. Chip maker Infineon Technologies has just announced a new feature in its ModbusToolbox to help developers bring ML into embedded IoT devices.  The move...

STMicro buys France-based edge AI firm Cartesiam to boost tinyML in STM32 line

Semiconductor maker STMicroelectronics (STMicro) has agreed a deal to acquire France-based edge AI software specialist Cartesiam for an undisclosed fee. The deal covers all Cartesiam’s assets, including its intellectual property portfolio and employees. Cartesiam, founded in 2016, based in Toulon, makes artificial intelligence (AI) development...

Panasonic splashes $5.6bn on Blue Yonder to develop ‘autonomous supply chain’

Japan-based electronics company Panasonic has acquired US supply management company Blue Yonder outright for $5.6 billion. The deal, completed last month and slated to close shortly, saw Panasonic acquire the remaining 80 percent of shares in the company from New Mountain Capital, adding to the...

You’ve opened your RAN, now what? Phase 2 of Open RAN: Automation (Reader Forum)

2020 was the year Open RAN became mainstream. As more operators started to trial and deploy the technology across the globe and as more radio, server, and software vendors joined the ecosystem, it became apparent that disaggregation of previously tightly coupled radio, hardware, and...

Editorial Webinar: AI- and ML-based network automation: What’s the promise and what’s the reality?

As 5G continues its evolution toward broad digital enablement of the enterprise, the proliferation of artificial intelligence and machine learning in networks will be a crucial part of service providers’ strategies. For infrastructure, increasingly automated deployment, configuration and management accelerates time-to-revenue as closed technology...

Pelion on 2021: The pandemic will continue to push enterprises to the edge

Organizations have been increasing the rate at which they adopt IoT technologies in 2020 as a direct response to Covid-19, deploying remote management and secure connectivity of devices to enable new applications and services, remotely, or to improve data insights from remote, deployed sensors...

Smart manufacturing will drive 10-fold jump in AI-based IoT services – to $10bn by 2026

The IoT market for artificial intelligence (AI) and machine learning (ML) services will reach $1.09 billion in 2020 and grow to about 10-times the size, to $10.6 billion, by 2026, according to market advisory firm ABI Research. The massive growth of so-called ‘advanced analytics’ within...

Altran White Paper: 5G Network Operations

To manage such highly scalable and recursively sliced 5G networks and to maintain the customer QoE and SLAs in real time, the OSS systems managing the operations must be autonomous and self driven. It should be AI/ML based and must support cognitive algorithms for...

Verizon and IBM pool 5G, IoT, edge analytics and networking in Industry 4.0 drive

Verizon and IBM are combining their capabilities in 5G connectivity, edge and cloud computing, and data analytics to service the industrial market’s pursuit of digital change, as part of the so-called Industry 4.0 movement. The collaboration will see the pair collaborate on these various technologies...

Renault recruits Google to bring order and insight to global production data

Groupe Renault will use Google’s cloud platform and analytics engine to bring tighter integration and keener insights to its centralised Industry 4.0 data management platform, the company has announced. Renault has been developing its own digital platform since 2016 to connect and aggregate industrial data...

Dell-backed edge AI firm FogHorn gets $25m fund, signs Stanley B&D, Honeywell

California-based industrial AI developer Foghorn has closed $25 million in a series C round of funding, led by LS Corp, part of $25 billion South Korean industrial conglomerate LS Group. It said the new funds will accelerate growth among industrialists seeking digital change in...

On-device AI is “new normal” – Arm claims mega-jump in edge AI with new chip combo

On-device AI on minuscule IoT units will be the "new normal", said UK-based Arm, as it unveiled a 480-times boost in edge processing performance with two new chip designs, pairing the latest in its Cortex-M line with a new micro neural processing unit...

FogHorn on 2020: The year edge-AI helps industry finally make sense of ‘things’

Organizations will move IoT projects from proof-of-concept to proof-of-value Ramya Ravichandar, vice president of product management, FogHorn: “During proof-of-concept deployments in the last few years, many organizations have confirmed the benefits that IoT can bring to a wide variety of industries – and IoT spending is...

‘Deep learning won’t work in the real world’ – open-source AI is the only way to ‘reason’, says Dell

Higher-order analytics tools are being embedded in the industrial space, as data science and data capture practices advance, and as compute power and wireless networking become more flexible. But machine learning is limited in its current form, and the ‘fourth industrial revolution’ will slow...

How 5G will Transform the Workforce With Kevin Shatzkamer

Listen to the podcast here: Talk about 5G is everywhere. But usually the conversation is about the challenges of building the network. Or it’s about the faster speeds, lower latency, and better devices. But thinking about 5G as “just another access technology” is a...

Editorial Report: AI and IoT at the cutting edge – when to move industrial intelligence closer to the action

Operational intelligence does not come just by connecting machines; it requires advanced analytics to sort the data and recommend a course of action. Many critical use cases at the edge can’t wait for the cloud. Instead, they demand insights and decisioning at the source,...

Does machine learning for cybersecurity live up to the hype?

Trying to keep intruders out of your network is like trying to keep vermin out of a house in a bad neighborhood. The rodents and insects never stop trying to get in, and the best you can do is slow them down, minimize the...

What’s the difference between artificial intelligence and machine learning?

There are two classes of artificial intelligence (AI): general (aka strong or full) and applied (aka narrow or weak). Applied is designed to handle specific tasks and is much more common than general, which attempts to be intelligent in the way one would think...

Eight crucial technologies to drive the digital revolution in smart manufacturing

The move to a ‘lights-out’ factory has already begun, but the developing transition requires an overhaul of industrial facilities, equipment, systems and people if it is to go the distance. Transformation of the manufacturing industry, or ‘vertical’ in service-provider parlance, must also make way...