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“This is the break of dawn,” declared Slush CEO Eerika Savolainen, kicking off this year’s event and its messages of hope, renewal and change. The sense of positivity was palpable among the 12 000 attendees, including 4 600 startups and 2 600 investors, gathered at the Helsinki Exhibition Centre.

Since its inaugural event in 2008, which attracted 250 participants, Slush has become a landmark in the tech industry’s event calendar. It has developed a secret sauce featuring a student-led organisation, relaxed atmosphere and knack for attracting big names in tech both on stage and to Helsinki in general. At the same time, it has been able to maintain its mission to create and help ground-breaking entrepreneurs.

Brodmann17, an Israeli computer vision technology startup that developed a novel approach to take on a marketplace dominated by Mobileye, shut down this week. Brodmann17’s co-founder and CEO Adi Pinhas posted a message on LinkedIn announcing the move, stating that while the company would not be able to bring its products to the mass market as hoped, “we do get comfort that our innovation will hopefully influence the market thinking and others will proceed in the mission of creating safer mobility to everyone.”

In a subsequent interview, Pinhas told TechCrunch that “there is a strong feeling of sorrow as we proved the technology, there is outstanding demand and we have customers in production.

It can be specifically useful in the robotics and manufacturing industries.

Researchers from the University of Minnesota, Twin Cities, use ultrasound waves to move objects hands-free, according to an institutional press release.

It has been shown in previous studies that objects can be manipulated with light and sound waves, too. But the objects in question were always far smaller than the wavelengths of either light or sound or on the order of millimeters to nanometers.

The deluge of sensors and data generating devices has driven a paradigm shift in modern computing from arithmetic-logic centric to data-centric processing. Data-centric processing require innovations at the device level to enable novel compute-in-memory (CIM) operations. A key challenge in the construction of CIM architectures is the conflicting trade-off between the performance and their flexibility for various essential data operations. Here, we present a transistor-free CIM architecture that permits storage, search, and neural network operations on sub-50 nm thick Aluminum Scandium Nitride ferroelectric diodes (FeDs). Our circuit designs and devices can be directly integrated on top of Silicon microprocessors in a scalable process. By leveraging the field-programmability, nonvolatility, and nonlinearity of FeDs, search operations are demonstrated with a cell footprint 0.12 μm2 when p.