JAMB Direct Entry is mainly for those who already possess a diploma certificate and wish to go for a degree programme in any Nigerian university. Generally, students who gain admission into the university via direct entry will start from part 2 or 200 level in their college of choice.

All candidates should possess either of the diploma certificates listed as follows: Cambridge A Level, B Sc, HND, ICAN, ND, NCE, OND, and JUPEB IJMB. All the holders of the diploma certificates mentioned here would be admitted provided they possess the institution requirements and pass the direct entry examination.
Before you proceed, check: Mobile Application to Register for 2017 JAMB UTME & DE, Nigerian Universities that Accept Lower Credit for Direct Entry, JAMB Brochure, JAMB Direct Entry Registration Centres and 2017 JAMB Direct Entry Form Approved Selling Points.

he registration fee for the 2017 Direct Entry is Five Thousand Naira (?5,000) Candidates are also, as usual, to pay Five Hundred Naira (?500) only to obtain the reading text- ‘‘The Last Days at Forcados High School’ for Direct Entry Candidates.

Candidates ought to note that e-PINS being purchased are tied to individual pro?le and aren’t transferable. We strongly recommend candidates to keep their security details such as password/numbers of ATM Cards, registration numbers, E-Pins and e-mail addresses con?dential.

Each candidate must personally create a JAMB profile on the JAMB portal through JAMB Mobile App available on Android, Windows and iOS platforms OR on the JAMB portal: www.jamb.org.ng. Name. Date of birth, personal e-mail address, and place of origin are required to create the profile.

Each Candidate is to gather his e-slip at the final of registration as proof of the process made. As is the practice, centers are allowed to charge not more than Seven Hundred Naira (?700) only as registration. Any center that charges more than Seven Hundred Naira (?700) should be reported to JAMB for appropriate sanctions.

JAMB Direct Entry Registration Requirements

A minimum of ?ve (5) GCE/WASCE credits at less than 2 sittings with a minimum of 2 Principal or Advanced level C.E. Two passes at the IJMB Advanced Level Examination, Cambridge moderated Schools of Basic Studies Terminal Examination, JUPEB or Institute of Baccalaureate from recognized institutions with SSCE/GCE, NTS/NBC credits equivalent in three other subjects (subject to university requirements).

Passes in two major topics in the NCE with S.C.E., NTC/NBC credits or equivalents in THREE other subjects (mainly for Education Courses) and ND. For those taking courses in Education, this course can be accepted as a third A’ Level subject.

Minimum of lower credit grade in the National Diploma or National Innovation certificate together with the O’Level necessities. Candidates have to remember that they will be required to provide their JAMB registration number which they used while gaining admission to NCE, Diploma, etc. for Direct Entry admission.

Intel Corp has a huge competitor. Nvidia is out to do in computing what software giants like Google and Apple did. It wants to bring developers in ways that apps makers support Google Play and Apple Store. That is the only way to succeed in the machine learning world and Nvidia wants to lead in the hardware aspect of that market.

Machine learning is sparking a new era in computing, according to Nvidia’s chief executive, who hopes that his latest GPU, Volta, becomes its favorite fuel.

The Volta announcement was the centerpiece of a two-hour keynote at GTC on “Powering the AI Revolution.” The annual Nvidia event attracted a record of more than 7,000 attendees, thanks to rising interest in using an expanding array of neural networks across a broadening horizon of applications from agriculture to pharmaceuticals and public safety.

Nvidia’s graphics processors hold a strong position in training neural nets for machine learning. “Every single cloud company in the world has Nvidia GPUs provisioned for a cloud service,” said founder and CEO, Jensen Huang.

Transforming Computing

Deep learning is “transforming computing” is the message that Nvidia hopes to hammer home at its GPU Tech conference. On that theme, Nvidia has styled itself as a firebrand, catalyst and deep learning enabler and — in the long run — a deep profiteer.

Among the telltale signs that Nvidia is betting its future on this branch of artificial intelligence (AI) is the recent launch of its “Deep Learning Institute,” with plans increase the number of developers to 100,000 this year. Nvidia trained 10,000 developers in deep learning in 2016.

Over the last few years, AI has made inroads into “all parts of science,” said Greg Estes, Nvidia’s vice president responsible for developer programs. AI is becoming an integral component of “all applications ranging from cancer research, robotics, manufacturing to financial services, fraud detection and intelligent video analysis,” he noted.

Nvidia needs to consider Nigeria and support the local companies like Zenvus. We will be happy to use its chips in future Zenvus designs.